Ming-Yen Hsiao | Quantitative Research | Best Researcher Award

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Best Researcher Award

Ming-Yen Hsiao
National Taiwan University Hospital, Taiwan

Ming-Yen Hsiao
Affiliation National Taiwan University Hospital
Country Taiwan
Scopus ID 39261677600
Documents 119
Citations 2,031
h-index 28
Subject Area Quantitative Research
Event Research Data Analysis Awards
ORCID 0000-0001-9062-1027

Ming-Yen Hsiao is a clinician-scientist affiliated with National Taiwan University Hospital whose scholarly work emphasizes quantitative research, rehabilitation medicine, musculoskeletal ultrasound, and evidence-based clinical practice. Through peer-reviewed publications and interdisciplinary collaboration, the researcher has contributed to improving diagnostic methods, therapeutic evaluation, and clinical decision-making. These achievements provide a strong foundation for consideration in the Best Researcher Award category.[1]

Abstract

This article summarizes the academic profile of Ming-Yen Hsiao, highlighting sustained contributions to quantitative clinical research, rehabilitation science, and evidence-based healthcare. The publication record, citation performance, and collaborative research activities demonstrate meaningful scientific influence while supporting continuous advancement in patient-centered medical practice.[2]

Keywords

Quantitative Research, Rehabilitation Medicine, Clinical Research, Musculoskeletal Ultrasound, Evidence-Based Medicine, Medical Imaging, Healthcare Analytics, Research Excellence.

Introduction

The research portfolio reflects consistent scientific productivity supported by rigorous quantitative methodologies and multidisciplinary collaboration. Publications address clinically relevant challenges while generating evidence that contributes to rehabilitation practice, diagnostic accuracy, and improved patient outcomes across healthcare settings.[3]

Research Profile

According to indexed academic databases, the researcher has produced 119 scholarly publications with more than 2,031 citations and an h-index of 28. These indicators demonstrate sustained publication quality, academic visibility, and recognized influence within rehabilitation and quantitative medical research.[1]

Research Contributions

Research has advanced rehabilitation assessment by applying quantitative methods that support accurate evaluation of therapeutic interventions and functional recovery among diverse patient populations. Investigations have expanded the clinical use of musculoskeletal ultrasound through standardized imaging approaches that improve diagnosis, monitoring, and treatment planning. Published studies integrate systematic analysis with clinical observations, strengthening evidence-based practice and supporting informed healthcare decision-making across multidisciplinary teams.

Publications

The publication portfolio consists of peer-reviewed journal articles addressing rehabilitation medicine, musculoskeletal imaging, and quantitative clinical evaluation. These studies have appeared in internationally indexed journals and contribute reliable scientific evidence for researchers and healthcare professionals.[4]

Research Impact

Citation metrics, collaborative publications, and sustained research productivity indicate measurable academic impact. The work continues to support clinical innovation, educational development, and the translation of quantitative findings into practical healthcare improvements.[5]

Award Suitability

The combination of consistent scholarly output, recognized citation performance, interdisciplinary collaboration, and practical healthcare contributions aligns well with the objectives of the Research Data Analysis Awards. The research record demonstrates sustained excellence, measurable influence, and commitment to advancing quantitative medical science.

Conclusion

Ming-Yen Hsiao has established a notable academic profile through continuous research productivity, high-quality publications, and evidence-based clinical investigations. The overall scholarly achievements illustrate meaningful contributions to quantitative research while supporting continued innovation within rehabilitation medicine and healthcare sciences.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Ming-Yen Hsiao, Author ID 39261677600.
    https://www.scopus.com/authid/detail.uri?authorId=39261677600
  2. ORCID. (n.d.). Ming-Yen Hsiao ORCID Record.
    https://orcid.org/0000-0001-9062-1027
  3. Chen, W.-C., Hsiao, M.-Y., & Wang, T.-G. (2022). Response to Letter to the Editor “Prognostic factors of functional outcome in post-acute stroke in the rehabilitation unit”. Journal of the Formosan Medical Association, 121(2).
  4. Chuang, H.-J., Hsiao, M.-Y., Wang, T.-G., & Liang, H.-W. (2022). A multi-disciplinary rehabilitation approach for people surviving severe COVID-19—A case series and literature review. Journal of the Formosan Medical Association.
  5. Yun, J. H., Hsiao, M.-Y., Boudier-Revéret, M., & Chang, M. C. (2022). Cytomegalovirus lumbosacral polyradiculitis in patients with long-term use of an oral corticosteroid: A case report. BMC Neurology, 22, Article 95.
    https://researchdataanalysis.com/

Nouf Al-Harby | ANOVA | Best Researcher Award

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Best Researcher Award

Nouf Al-Harby
Qassim University, Saudi Arabia

Nouf Al-Harby
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 56989892700
Documents 39
Citations 954
h-index 16
Subject Area ANOVA
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-4705-890X

The Best Researcher Award recognizes scholarly excellence, sustained publication activity, and measurable research influence within specialized scientific domains. Nouf Al-Harby of Qassim University has established a research profile characterized by contributions to adsorption science, environmental remediation, material chemistry, and statistical optimization methodologies. The researcher’s publication portfolio demonstrates the application of analytical approaches such as analysis of variance (ANOVA), response surface methodology, kinetic modeling, and isotherm analysis to address contemporary environmental and industrial challenges.[1]

Abstract

Nouf Al-Harby has contributed to the advancement of environmental and materials research through studies focused on adsorption technologies, pollutant removal, hydrogel engineering, biochar composites, and statistical process optimization. Research outputs demonstrate methodological rigor and interdisciplinary application, supporting sustainable solutions for water purification and contaminant management. The researcher’s documented scholarly productivity and citation performance indicate meaningful engagement within the scientific community.[2]

Keywords

ANOVA, Adsorption Science, Environmental Remediation, Response Surface Methodology, Water Treatment, Biochar Composites, Statistical Modeling, Material Chemistry.

Introduction

Research addressing water contamination and industrial pollutants remains a significant scientific priority. Nouf Al-Harby’s work contributes to this field through the development of innovative adsorbent materials and optimization strategies that improve contaminant removal efficiency. The integration of experimental design techniques and advanced material characterization has strengthened the practical relevance of these investigations.[3]

Research Profile

The researcher’s Scopus record includes 39 indexed documents, 954 citations, and an h-index of 16. Research activities are concentrated in environmental chemistry, adsorption technologies, materials science, and statistical analysis. Particular emphasis is placed on ANOVA-based evaluation, optimization models, and the design of sustainable materials for environmental applications.[1]

Research Contributions

  • Development of magnetic algae-derived composite materials for chromium removal.
  • Investigation of dye adsorption using modified chitosan-based materials.
  • Optimization of hydrogel systems for pharmaceutical contaminant removal.
  • Application of Box–Behnken and response surface methodologies for process improvement.
  • Advancement of sustainable adsorbents for wastewater treatment applications.

Publications

  • Magnetic algae-derived FeS0.66@GA-BC0.33 Composite for Cr(VI) Removal Optimized by Response Surface Methodology.
  • Efficient adsorption of fast green dye by chitosan modified with cyanoguanidine.
  • Adsorption of Ciprofloxacin onto CMCs/XG Hydrogel.
  • Engineering of a kaolin/SLS-functionalized biochar@β-cyclodextrin composite.
  • Histidine-conjugated chitosan as efficient adsorbent for Congo red dye elimination.

Research Impact

The documented citation record reflects sustained academic visibility and scholarly engagement. Research outputs contribute to scientific understanding of adsorption mechanisms, optimization strategies, and environmentally responsible remediation technologies. The combination of publication productivity, citation performance, and interdisciplinary relevance supports the broader impact of the research portfolio.[4]

Award Suitability

Based on available scholarly indicators, Nouf Al-Harby demonstrates characteristics commonly associated with research excellence awards, including sustained publication output, measurable citation impact, methodological innovation, and contributions to environmental sustainability. The integration of ANOVA, optimization frameworks, and advanced material development further supports recognition within international research evaluation programs.[5]

Conclusion

Nouf Al-Harby’s scholarly record reflects consistent engagement with environmental and materials research challenges through data-driven methodologies and applied scientific investigation. The researcher’s publication achievements, citation metrics, and contributions to adsorption science support consideration for recognition through the International Research Data Analysis Excellence & Awards program.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Nouf Al-Harby, Author ID 56989892700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56989892700
  2. Materials Chemistry and Physics. (2026). Magnetic algae-derived FeS0.66@GA-BC0.33 Composite for Cr(VI) Removal Optimized by Response Surface Methodology.
    https://doi.org/10.1016/j.matchemphys.2026.132792
  3. BMC Chemistry. (2026). Efficient adsorption of fast green dye by chitosan modified with cyanoguanidine.
    https://doi.org/10.1186/s13065-026-01778-1
  4. Polymers. (2026). Adsorption of Ciprofloxacin onto CMCs/XG Hydrogel.
    https://doi.org/10.3390/polym18050632
  5. RSC Advances. (2026). Engineering of a kaolin/SLS-functionalized biochar@β-cyclodextrin composite.
    https://doi.org/10.1039/D5RA08005C
  6. RSC Advances. (2026). Histidine-conjugated chitosan as efficient adsorbent for Congo red dye elimination from aqueous solution.

Mamorena Lucia Matsoso | Quantitative Research | Research Excellence Award

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Dr. Mamorena Lucia Matsoso | Quantitative Research | Research Excellence Award

University of Johannesburg | South Africa

Mamorena Lucia Matsoso is an accomplished academic and business professional specializing in business administration, entrepreneurship, and sustainable supply chain management. She earned her Ph.D. in Business Administration from the University of Cape Town, focusing on entrepreneurial motivation and sustainability practices in SMEs. With a strong academic foundation in cost and management accounting, she has built an extensive career as a Senior Lecturer, researcher, and academic leader. Dr. Matsoso has authored numerous peer-reviewed publications and contributed to international conferences, with research interests spanning sustainability, supply chains, and SME performance in developing economies.

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KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

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Mrs. KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

Skisehir Osmangazi University | Turkey

Assoc. Prof. Dr. Kamuran Görgün is a distinguished academic in chemistry at Eskişehir Osmangazi University, with extensive expertise in organic synthesis, nanomaterials, and spectroscopic analysis. She earned her PhD, MSc, and BSc in Chemistry from the same institution and has progressed from research assistant to associate professor. Her research focuses on semiconductor materials, dye-sensitized solar cells, and advanced molecular design. With over 90 publications, significant citations, and multiple funded projects, she has made notable contributions to materials science and renewable energy research. Dr. Görgün is also actively involved in teaching undergraduate and postgraduate courses and mentoring emerging researchers.

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Mahmoud fathy | Quantitative Research | Research Excellence Award

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Assist Prof Dr. Mahmoud fathy | Quantitative Research | Research Excellence Award

Epri | Egypt

Assist Prof Dr. Mahmoud Fathy Mubarak is an accomplished researcher and Associate Professor of Applied Physical Chemistry at the Egyptian Petroleum Research Institute, with extensive expertise in water treatment and desalination technologies. He holds a PhD from Banha University, focusing on nanostructured materials for highly saline water purification. With over a decade of progressive experience, he has contributed significantly to research, teaching, and advanced analytical services. Dr. Mubarak has supervised numerous master’s and doctoral theses and actively participates in sustainable water management initiatives, developing innovative nanocomposite materials for wastewater treatment, environmental protection, and industrial applications.

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Rifumo Chauke | Quantitative Research | Research Excellence Award

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Mr. Rifumo Chauke | Quantitative Research | Research Excellence Award

University of Pretoria | South Africa

Mr. Rifumo Chauke is a PhD candidate in Physics at the University of Pretoria, specializing in nuclear materials science and advanced data analysis. With a strong academic foundation in astrophysics, his research focuses on defect modeling, multi-technique data synthesis, and the characterization of silicon carbide under irradiation. He possesses hands-on expertise in laboratory techniques such as AFM, Raman spectroscopy, RBS, TEM, and SEM, alongside proficiency in Python, data visualization, and statistical analysis. Rifumo has demonstrated leadership through tutoring and research roles, contributing to academic mentorship and collaborative projects, and is actively transitioning into data science applications within mining and industrial sectors.

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Xueye Chen | Regression analysis | Research Excellence Award

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Prof. Xueye Chen | Regression analysis | Research Excellence Award

Ludong University | China

Professor Xueye Chen is a distinguished academic at Ludong University, serving as a permanent Professor in the College of Transportation since March. With a doctoral degree and over 11 years of professional experience, his expertise lies in MEMS, with a strong research focus on microfluidics and flexible intelligent sensing systems. He has authored 174 high-impact journal publications in leading outlets such as Physics of Fluids, Chemical Engineering Journal, and ACS Applied Materials & Interfaces. His research spans wearable technologies, healthcare, and modern agriculture, emphasizing micro-nano manufacturing and advanced sensing applications. Recognized for his excellence, he has led multiple funded projects and holds several patents, contributing significantly to innovation in intelligent systems and health monitoring.

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Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

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Mr. Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

Clinic for Urology, University Medicine Essen | Germany

Mr.Christopher Darr is a German board-certified urologist and Privatdozent at the Clinic and Polyclinic for Urology, Pediatric Urology and Uro-Oncology at University Hospital Essen. After completing his medical studies at the University of Duisburg-Essen and obtaining his medical license, he pursued specialist training and an academic career in urology, becoming a consultant urologist and later senior consultant. He earned his doctorate with distinction (cum laude) and completed his habilitation, receiving the venia legendi in urology, with a research focus on molecular intraoperative diagnostics in high-risk prostate cancer. Dr. Darr holds key leadership roles in certified prostate and kidney cancer centers, contributes to national clinical guidelines, and serves as a reviewer for leading international oncology and urology journals.

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Fathalla Rihan | Statistical Analysis | Best Scholar Award

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Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

Publication Profile

Orcid

Scopus

Google scholar

Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences 📚✨

Current Position(s) & Employment History 🏫

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇦🇪
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt 🇪🇬
  • Associate Professor (2012–2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008–2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005–2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000–2010)
    School of Mathematics, University of Manchester, UK 🇬🇧
  • Assistant Professor (2000–2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003–2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001–2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996–2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992–1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987–1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education 🎓

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interests  On Statistical Analysis🔬

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects 📊

  • 2024–2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022–2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021–2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017–2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition 🏆

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021–present)
  • Top 2% World Scientist (Stanford University 2019–2022)
  • University Excellence Merit Allowance (2019–2020)
  • College Excellence Award for Service (2019–2020)
  • Distinguished Research Awards (2017–2019)
  • College Award for Scholarly Research (2014–2015)

Visitor ships 🌍

  • Research Visitor (2000–2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003–2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 🗓️
Modeling Hybrid Crossover Dynamics of Immuno‐Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. AL‐Mekhlafi, Fathala A. Rihan, Hannah A. Al‐Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 🗓️
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 🗓️
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 🗓️
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 🗓️

 

Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

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Assoc Prof Dr. Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

University of Klagenfurt | Austria

Author Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Assoc. Prof. Dr. Dr.-Ing. Jean Chamberlain Chedjou’s academic journey began with a strong foundation in electronics and physics. After earning his Bachelor’s degree in Physics from the University of Yaoundé, Cameroon, in 1990, he pursued a Bachelor’s Honors degree in Electronics, followed by a Master’s-equivalent DEA in Electronics. His passion for research led him to further his studies, culminating in a Doctorate (Doctorat de troisème cyle) in Electronics at the University of Yaoundé in 1999. Chedjou continued to expand his academic knowledge, attaining a Dr.-Ing. Degree in Electrical Engineering and Information Technology from Leibniz University of Hanover, Germany, in 2004. These early years laid the groundwork for his later contributions in systems optimization, dynamic systems modeling, and traffic simulation.

PROFESSIONAL ENDEAVORS 💼

Dr. Chedjou’s professional journey reflects a commitment to both teaching and research excellence. He started his academic career as a part-time Assistant Lecturer at the University of Yaoundé, followed by various faculty roles at the University of Dschang in Cameroon. His research experience expanded internationally through postdoctoral positions at Université Blaise Pascal, France, and the Abdus Salam International Centre for Theoretical Physics, Italy. These roles were instrumental in shaping his research focus on neural networks, simulation techniques, and dynamic systems modeling. Since 2009, Dr. Chedjou has served as an Associate Professor at Alpen-Adria-Universität Klagenfurt, Austria, where he has continued to excel in research and teaching.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Chedjou’s research is deeply centered on optimization in graph networks, particularly the development of neuro-processor solvers aimed at ultra-fast solutions for classical graph theoretical problems such as the Shortest Path Problem (SPP), Traveling Salesman Problem (TSP), and Minimum Spanning Tree (MST). He integrates his expertise in neural networks and cellular neural networks to advance simulation and optimization techniques, applying them to real-world challenges in systems simulation and nonlinear dynamics.

His work also extends to traffic modeling, electronic circuit design, and the analog computation of stiff differential equations, where his innovative approaches enhance the efficiency of simulation models. Moreover, Dr. Chedjou investigates the nonlinear dynamics of complex systems, addressing equilibrium states, chaos detection, and stability analysis, furthering understanding in fields like system theory, engineering, and telecommunications.

IMPACT AND INFLUENCE 🌍

Dr. Chedjou’s contributions have significantly impacted the academic and research communities, particularly in the areas of transportation informatics and systems modeling. His research in ultra-fast solvers and neurocomputing has paved the way for more efficient solutions to complex optimization problems. As an Associate Professor at Alpen-Adria-Universität Klagenfurt, his courses on methods of transportation informatics and simulation techniques have inspired countless students to explore these domains. His role as a mentor has helped shape future leaders in the field of systems technologies.

Additionally, Dr. Chedjou’s involvement in global research collaborations—such as his fellowships with the Abdus Salam International Centre for Theoretical Physics—demonstrates his commitment to international knowledge exchange and the advancement of applied sciences.

ACADEMIC CITATIONS AND RECOGNITIONS 🏅

Dr. Chedjou’s academic contributions are well-recognized globally. His innovative work in graph theory and simulation has earned him a place among respected researchers in his field. His commitment to excellence in teaching was highlighted in 2013 when he was honored with the Best Lecturer award at the University of Klagenfurt, a testament to his ability to convey complex concepts effectively and engage students in meaningful learning.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Chedjou’s legacy is defined by his pioneering research and his dedication to advancing the fields of optimization, dynamic systems, and transportation informatics. His current focus on neurocomputing for real-time simulation and optimization of nonlinear differential equations promises to influence various industries, from transportation to telecommunications.

Looking ahead, Dr. Chedjou continues to push the boundaries of systems simulation and modeling. His work on neuro-processor solvers and cellular neural networks is poised to revolutionize problem-solving strategies in complex networks, contributing to faster and more scalable solutions for modern engineering challenges. As a mentor, researcher, and academic, Dr. Chedjou’s future contributions will undoubtedly continue to inspire and shape the next generation of innovators and scholars.

📑 NOTABLE PUBLICATIONS 

Article: Impact of source (drain) doping profiles and channel doping level on self-heating effect in FinFET

Authors: Atamuratov, A.E., Jabbarova, B.O., Khalilloev, M.M., Blugan, G., Saidov, K.
Journal: Micro and Nanostructures
Year: 2025

Article: A special memristive diode-bridge-based hyperchaotic hyperjerk autonomous circuit with three positive Lyapunov exponents

Authors: Rong, X., Chedjou, J.C., Yu, X., Jiang, D., Kengne, J.
Journal: Chaos, Solitons and Fractals
Year: 2024

Article: Complex dynamic behaviors in a small network of three ring coupled Rayleigh-Duffing oscillators: Theoretical study and circuit simulation

Authors: Kamga Fogue, S.M., Kana Kemgang, L., Kengne, J., Chedjou, J.C.
Journal: International Journal of Non-Linear Mechanics
Year: 2024

Article: Coupling Induced Dynamics in a Chain-Network of Four Two-Well Duffing Oscillators: Theoretical Analysis and Microcontroller-Based Experiments

Authors: Venkatesh, J., Karthikeyan, A., Chedjou, J.C., Jacques, K., Karthikeyan, R.
Journal: Journal of Vibration Engineering and Technologies
Year: 2024

Article: A unique self-driven 5D hyperjerk circuit with hyperbolic sine function: Hyperchaos with three positive exponents, complex transient behavior and coexisting attractors

Authors: Vivekanandhan, G., Chedjou, J.C., Jacques, K., Rajagopal, K.
Journal: Chaos, Solitons and Fractals
Year: 2024