Sherif A. El-Khodary | Innovation in Data Analysis | Research Excellence Award

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Assoc. Prof. Dr. Sherif A. El-Khodary | Innovation in Data Analysis | Research Excellence Award

Housing and Building National Research Center | Egypt

Dr. Sherif Ahmed Mohamed El-Khodary is an Egyptian Associate Professor at the Housing & Building National Research Center (HBRC), Giza, with extensive expertise in materials science and energy storage technologies. He earned his Ph.D. in Physics from Al-Azhar University and has held academic and research positions in Egypt and China, including Jiangsu University. His research focuses on carbon nanomaterials, advanced electrodes, and sustainable energy systems. Dr. El-Khodary has secured international research funding, holds patented innovations, and has published extensively in high-impact journals, contributing significantly to advancements in nanotechnology and electrochemical energy storage.

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Chayma Erraja | Covid-19 Analysis | Research Excellence Award

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Assoc. Prof. Dr. Chayma Erraja | Covid-19 Analysis | Research Excellence Award

Wenzhou Business School | China

Assoc. Prof. Dr.Chayma Erraja is a dedicated scholar and Associate Professor specializing in Business Administration with a focus on environmental management and international trade. She holds a doctorate from Dalian University of Technology and dual master’s degrees from leading institutions in France and China. With extensive international teaching experience at Wenzhou Business College, she integrates global market practices into academic curricula while conducting impactful research on sustainability and economic policy. A multilingual professional fluent in five languages, she possesses strong analytical expertise using tools such as STATA, SPSS, R, and PLS-SEM, and actively contributes to academia as a peer reviewer for top-tier journals.

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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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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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Otilia Kimpel | Big Data Analytics | Research Excellence Award

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Dr. Otilia Kimpel | Big Data Analytics | Research Excellence Award

Universitätsklinikum Würzburg | Germany

Dr. Otilia Kimpel is a dedicated physician-scientist and board-certified specialist in Internal Medicine with a focus on endocrinology at the University Hospital Würzburg, Germany. She completed her medical studies at the University of Duisburg-Essen, earning her doctorate with magna cum laude distinction for research on transcranial direct current stimulation and motor learning. With extensive clinical and research experience, she has contributed as an investigator in multiple phase 1–3 clinical trials, particularly in adrenal and endocrine disorders. A recipient of several prestigious awards, including the Bruno Allolio Prize and Anke Mey Award, Dr. Kimpel is actively engaged in advancing endocrine research through clinician-scientist programs and academic initiatives.

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Almazea Fatima | Minning and agriculture | Women Researcher Award

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Dr. Almazea Fatima | Minning and agriculture | Women Researcher Award

 University of Sydney | Australia

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Dr. Almazea Fatima⚡🌍

🌍 INTRODUCTION

ALMAZEA FATIMA is a prominent researcher and academic in the field of agricultural economics. With a deep focus on food security, environmental sustainability, and the impacts of climate change, she has made significant contributions to global agricultural policy and research. Her academic journey and expertise have helped shape our understanding of sustainable agricultural practices and food insecurity in developing regions, especially in countries like Uganda, Pakistan, and Sierra Leone.

🎓 EARLY ACADEMIC PURSUITS

Fatima’s academic journey began in Pakistan, where she earned a B.Sc. (Hons) in Agricultural Economics from the University of Agriculture Faisalabad in 2004. She went on to complete an MSc (Hons) in Agricultural Economics in 2006, followed by a PhD in Agriculture and Environment at The University of Sydney in 2015. During her studies, she demonstrated exceptional academic prowess, receiving scholarships throughout her MSc and a range of honors, including the University Medal in 2006. Her academic work laid a strong foundation for her future endeavors in research and teaching.

💼 PROFESSIONAL ENDEAVORS

Currently, Fatima serves as a Research Affiliate at the Centre for Carbon, Water, and Food at The University of Sydney. Her professional career spans more than a decade of teaching and research roles, including as a Lecturer in Agricultural and Resource Economics at the University of Agriculture, Faisalabad. She has also been involved in numerous research projects focused on agricultural economics, food security, and environmental sustainability. Her role in various research studies reflects her commitment to enhancing global agricultural practices and tackling food insecurity issues.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Fatima’s research interests are vast, focusing on areas such as bio-economic modeling, climate change’s effect on food security, and the social, economic, and environmental impacts of mining activities on agricultural communities. One of her major contributions includes investigating the effects of diamond and gold mining in Sierra Leone on local rice farmers. Her ongoing research also delves into the impacts of greenhouse gas emissions from the livestock sector on agricultural profitability, specifically in Queensland, Australia.

🌱 IMPACT AND INFLUENCE

Fatima’s research has had far-reaching impacts in the academic community and beyond, influencing both policy and practice. Her work has informed strategies to mitigate the effects of environmental degradation on agriculture and has contributed to sustainable farming practices in developing countries. Through her studies, she has highlighted the importance of integrating environmental and social considerations into economic analyses of agricultural systems. Fatima’s dedication to improving livelihoods and promoting sustainability continues to inspire her peers and shape the future of agricultural economics.

📝 ACADEMIC CITATIONS AND PUBLICATIONS ON Minning and agriculture

Fatima’s scholarly work is widely recognized, with several publications in respected journals. Notable works include studies on the environmental and economic impacts of industrial mining on agricultural communities in Sierra Leone, dietary patterns among children in Pakistan, and the use of ARIMA models for predicting rice self-sufficiency in Sierra Leone. These publications contribute significantly to the body of knowledge in agricultural economics and development studies.

🏅 HONORS & AWARDS

Fatima has received numerous prestigious awards throughout her academic career, including the International Postgraduate Research Scholarship (IPRS) and the Australian Postgraduate Award (APA), both from the Australian Government. Additionally, she was honored with the University Medal (Silver) for her outstanding academic achievements in MSc (Hons). Her research excellence has earned her several recognitions, further cementing her position as a leader in her field.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Fatima’s future contributions are set to make a significant impact on agricultural policies and practices worldwide. With ongoing research in greenhouse gas emissions and livestock profitability, she will continue to lead the way in developing solutions for sustainable food systems. Her legacy as an academic and researcher will influence generations to come, ensuring that her work continues to inspire positive change in the field of agricultural economics.

💡 FINAL NOTE

As a researcher and educator, Fatima continues to make lasting contributions to the field of agricultural economics. Her work not only helps address immediate challenges such as food insecurity and environmental degradation but also provides long-term solutions that promote sustainable agriculture and improved livelihoods. She remains a driving force in advancing the discipline and has undoubtedly left a lasting legacy through her research.

📚 TOP NOTES PUBLICATIONS 

Economic Analysis of Fertilizer Use and its Price Variability Effects on Wheat Productivity in Punjab- A Case Study of Faisalabad
    • Authors: Rashid, S.; Chattha, M.W.A.; Fatima, A.; Hyder, M.F.; Tabasam, N.
    • Journal: Sarhad Journal of Agriculture
    • Year: 2024
Emerging Business: Cut-Rose and Gladiolus Production by Small-Scale Florists in Pakistan
    • Authors: Hashmi, M.; Komba, B.P.; Chattha, M.W.A.; Fatima, A.; Hyder, M.F.
    • Journal: Sarhad Journal of Agriculture
    • Year: 2024
Production and Supply Response of Milk in Pakistan: Price and Non-Price Determinants
    • Authors: Chattha, M.W.A.; Fatima, A.; Bakhsh, K.; Hassan, S.
    • Journal: International Journal of Agriculture and Biology
    • Year: 2013

 

 

Mohammed Abdullah Alshahrani | Statistics | Best Researcher Award

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Dr. Mohammed Abdullah Alshahrani l Algorithm Development  | Best Researcher Award

Prince Sattam Bin Abdulaziz University, Saudi Arabia

Author Profile

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EARLY ACADEMIC PURSUITS 🎓

Mohammed Abdullah Alshahrani’s academic journey began with a solid foundation in mathematics. His undergraduate studies at Bisha University in Saudi Arabia, culminating in a BSc in Mathematics with honors, set the stage for his future endeavors. His passion for applied statistics grew during his studies at King Saud University, where he earned a Diploma of MSc in Mathematics with exceptional academic performance. This dedication to mathematics led him to the University of Arkansas in the USA, where he completed his MSc in Applied Statistics with a remarkable GPA of 3.85 out of 4. Alshahrani continued his academic excellence by pursuing a PhD in Applied Statistics at the University of Leeds in the UK, focusing on statistical models and their applications.

PROFESSIONAL ENDEAVORS 💼

Alshahrani’s professional career is marked by significant achievements across academia and industry. As an Assistant Professor at Prince Sattam Bin Abdulaziz University, he has demonstrated his expertise in applied statistics by teaching and supervising various statistical courses and graduation projects. Additionally, his role as a consultant in statistics and data science at the Institute of Research and Consulting Services at the same university highlights his ability to bridge academia and practical problem-solving in fields like genetics, financial data analysis, and high-dimensional datasets.

His experience extends beyond academia to notable positions in national institutions. At the General Authority for Statistics, he worked as a Big Data Expert and later as the Director of the Innovation Lab, where he led various projects related to big data, mobile positioning, and satellite data analysis, contributing to national initiatives such as the Household Income and Expenditure Survey and the Real Estate Price Index. He also played a key role in the creation of automated systems for data error detection and the calculation of socioeconomic indices.

CONTRIBUTIONS AND RESEARCH FOCUS  On Statistics🔬

Alshahrani’s research has largely revolved around the application of statistical methods like regression, classification, and clustering to various domains. His work in applied statistics has spanned several fields, including genetics, financial analysis, and public policy. By developing statistical models and utilizing big data techniques, Alshahrani has made significant strides in areas like the Consumer Price Index (CPI) calculation, energy surveys, and the development of machine learning models for outlier detection. His contributions to academic conferences, workshops, and publications, such as those in the areas of deep learning, drought analysis, and plant disease classification, demonstrate his versatile application of statistical techniques to real-world problems.

IMPACT AND INFLUENCE 🌍

Alshahrani’s work has had a profound impact on the academic community, public policy, and the private sector. His research contributions, including new sine-induced statistical models and deep learning applications, have influenced how complex datasets are analyzed and interpreted. His involvement in high-profile projects, such as the Household Income and Expenditure Survey and the real estate index, has provided actionable insights for Saudi Arabia’s economic and social policies. As a speaker at international conferences and a workshop leader, Alshahrani has become a thought leader in the field of applied statistics and data science, sharing his knowledge and inspiring others to explore these areas.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Alshahrani’s scholarly impact is reflected in his numerous publications in esteemed journals. His work on various statistical models and data analysis techniques has been cited in academic circles and has contributed to the advancement of applied statistics. Through his leadership in both educational and professional settings, he has gained recognition for his innovative approaches to solving statistical problems, particularly in areas like public health, economics, and environmental studies. His publications, such as the development of a new drought index and fuzzy adaptive control charts, underscore his ability to combine theoretical research with practical applications.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

As Alshahrani continues to shape the future of applied statistics, his legacy is one of innovation, mentorship, and the pursuit of excellence. His ongoing work in academia and consultancy positions him to influence future generations of statisticians and data scientists. With a passion for developing statistical methods and building data-driven solutions for societal challenges, Alshahrani is poised to make lasting contributions to both the academic field and public policy. His focus on AI, machine learning, and the development of statistical software packages, along with his interest in R Shiny applications, indicates that his future contributions will continue to push the boundaries of statistical analysis and its applications in real-world problems.

 Top Noted Publications 📖

  • On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods
    • Authors: Wan, M., Alshahrani, M.A., Aloraini, N.M., Alkhathami, A.A., Alqahtani, H.
    • Journal: Alexandria Engineering Journal
    • Year: 2025
  • A Fuzzy Adaptive Control Chart as an Alternative to Neutrosophic Techniques for Handling Imprecise Data
    • Authors: Alshahrani, M.A., Khan, I., Sumelka, W.
    • Journal: International Journal of Neutrosophic Science
    • Year: 2025
  • A new probabilistic model: Its implementations to time duration and injury rates in physical training, sports, and reliability sector
    • Authors: Lu, G., Alamri, O.A., Alnssyan, B., Alshahrani, M.A.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
  • Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models
    • Authors: Gul, A., Qamar, S., Yousaf, M., Alshahrani, M., Hilali, S.O.
    • Journal: Scientific Reports
    • Year: 2024
  • A support vector machine based drought index for regional drought analysis
    • Authors: Alshahrani, M., Laiq, M., Noor-ul-Amin, M., Yasmeen, U., Nabi, M.
    • Journal: Scientific Reports
    • Year: 2024

Naiwei Lu | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Naiwei Lu | Data Analysis | Best Researcher Award

Changsha University of Science of Technology, China

Author Profiles

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Research Gate

👨‍🏫 Associate Prof. Dr. Naiwei Lu

Assoc. Prof. Dr. Naiwei Lu is an Associate Professor in Civil Engineering at Changsha University of Science and Technology (CSUST), China. His research primarily focuses on reliability and safety in bridge engineering. He has a strong background in system reliability evaluation, fatigue analysis, and structural health monitoring, which he applies to the engineering and maintenance of long-span bridges. Dr. Lu is an active member of various international research communities and has been involved in multiple national and international projects.

🎓 Education Background

Dr. Naiwei Lu earned his Ph.D. in Civil Engineering from Changsha University of Science and Technology (CSUST) in 2015, under the supervision of Prof. Yang Liu. Prior to that, he completed his Master’s degree in Civil Engineering in 2011 and his Bachelor’s degree in Bridge Engineering in 2008, all at CSUST, Changsha, China. His academic journey laid a strong foundation for his expertise in bridge engineering and reliability analysis.

💼 Employment and Research Experience

Dr. Lu’s academic career began in 2015 when he became a Postdoctoral Researcher at Southeast University in Nanjing, China, where he worked under Prof. Mohammad Noori. He also held a Postdoctoral Researcher position at Leibniz University Hannover, Germany, working with Prof. Michael Beer. Since 2020, Dr. Lu has been serving as an Associate Professor at CSUST, where he also previously worked as a Lecturer from 2017 to 2019. His diverse academic and international experiences contribute to his deep expertise in bridge engineering.

💰 Research Funding

Dr. Lu has been the Principal Investigator (PI) of several funded research projects, including the National Science Funding in China for research on structural health monitoring of suspension bridges and the fatigue reliability evaluation of steel bridge decks. He has received significant funding support for his work in system reliability and dynamic analysis, with total funding exceeding ¥1 million for his various research initiatives. These projects aim to develop advanced methods for assessing the reliability and safety of long-span bridges.

🔍 Research Interests

Dr. Lu’s research spans several cutting-edge topics in structural engineering. His main research interests include system reliability evaluation of long-span bridges using intelligent algorithms 🤖, fatigue reliability of stay cables and orthotropic steel bridge decks 🌉, and probabilistic modeling using data from structural health monitoring 📊. He is also focused on intelligent maintenance and management of in-service bridges ⚙️, as well as uncertainty quantification in structural engineering 🛠️.

📚 Teaching Experience

As an educator, Dr. Lu teaches undergraduate courses such as Principle of Structural Design (in both Chinese and English) and Building Information Modeling (BIM) Technology (in Chinese). He has supervised 24 undergraduate students and 4 postgraduate students between 2017 and 2020, guiding them in various aspects of civil engineering, particularly related to bridge design, maintenance, and reliability.

🏗️ Engineering Activities

In addition to his academic role, Dr. Lu is a Registered Construction Engineer and a Registered Inspection Engineer in Municipal Engineering and Bridge & Tunnel Engineering, respectively. His engineering activities include overseeing the structural safety of long-span bridges during construction 🏗️, conducting structural health monitoring of suspension bridges 🌉, and contributing to the detection and reinforcement of aging bridges 🛠️. He has also been involved in the advance geological forecasting and monitoring of tunnels during construction, working on over five extra-long tunnels.

Dr. Naiwei Lu’s work integrates advanced intelligent algorithms, data-driven methods, and structural health monitoring to enhance the safety, reliability, and longevity of bridges and infrastructure systems. His research and engineering expertise continue to make significant contributions to the field of civil engineering.

📖Top Noted Publications 

Structural damage diagnosis of a cable-stayed bridge based on VGG-19 networks and Markov transition field: numerical and experimental study

Authors: Naiwei Lu, Zengyifan Liu, Jian Cui, Lian Hu, Xiangyuan Xiao, Yiru Liu

Journal: Smart Materials and Structures

Year: 2025

Coupling effect of cracks and pore defects on fatigue performance of U-rib welds

Authors: Yuan Luo, Xiaofan Liu, Fanghuai Chen, Haiping Zhang, Xinhui Xiao, Naiwei Lu

Journal: Structures

Year: 2025

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

Authors: Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

Journal: Sensors

Year: 2024

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen

Journal: Sensors

Year: 2024

Experimental and numerical investigation on penetrating cracks growth of rib-to-deck welded connections in orthotropic steel bridge decks

Authors: Zitong Wang, Jun He, Naiwei Lu, Yang Liu, Xinfeng Yin, Haohui Xin

Journal: Structures

Year: 2024

Fatigue Reliability Assessment for Orthotropic Steel Decks: Considering Multicrack Coupling Effects

Authors: Jing Liu, Yang Liu, Guodong Wang, Naiwei Lu, Jian Cui, Honghao Wang

Journal: Metals

Year: 2024

Kai Liu | Data Analysis | Best Researcher Award

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Prof Dr. Kai Liu | Data Analysis | Best Researcher Award

Shenzhen Institute of Advanced Technology, China

Author Profile

👨‍🎓 Summary

Prof. Dr. Kai Liu is a renowned professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, in Shenzhen, China (2023-present). His research focuses on the bottom-up construction of life-like self-assembly systems, exploring their applications in biology, materials science, and catalysis.

🎓 Education

Prof. Dr. Liu earned his Ph.D. in Biochemical Engineering from the Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China (2014-2017). He also completed his M.Sc. in Biochemical Engineering at the same institute (2012-2014), following his B.Sc. in Bioengineering from Yanshan University, Qinhuangdao, China (2008-2012).

💼 Professional Experience

Prof. Dr. Liu is currently a Professor at the Shenzhen Institute of Advanced Technology (2023-present). Before this, he was a Postdoctoral Fellow at the University of Groningen, The Netherlands (2018-2023), where he contributed to advanced research in biochemical and soft materials engineering.

🔬 Research Interests On Data Analysis

His research spans several key areas: biomolecular self-assembly, functional soft materials, non-equilibrium self-assembly, and active matter systems. He is particularly interested in the regulation of self-assembly at biological interfaces and its potential applications in catalysis and materials science.

🛠️ Technical Skills

Prof. Dr. Liu specializes in self-assembly techniques, soft materials design, biomolecular engineering, and non-equilibrium systems. His technical expertise also extends to catalysis and active matter systems.

👩‍🏫 Teaching Experience

He has significant teaching experience in biochemical engineering, self-assembly systems, and materials science. Prof. Dr. Liu is also dedicated to mentoring graduate students and postdoctoral researchers, providing them with valuable insights and guidance in their academic and professional growth.

📚 Academic Citations

Prof. Dr. Liu has made notable contributions to the field through numerous publications in high-impact journals. His work on self-assembly and active materials has received widespread recognition and is frequently cited within the academic community.

 

📖 Top Noted Publications

Peptide self-assembly: thermodynamics and kinetics
    • Authors: J Wang, K Liu, R Xing, X Yan
    • Journal: Chemical Society Reviews
    • Year: 2016
An Injectable Self-Assembling Collagen-Gold Hybrid Hydrogel for Combinatorial Antitumor Photothermal/Photodynamic Therapy
    • Authors: R Xing, K Liu, T Jiao, N Zhang, K Ma, R Zhang, Q Zou, G Ma, X Yan
    • Journal: Advanced Materials (Deerfield Beach, Fla.)
    • Year: 2016
Simple peptide-tuned self-assembly of photosensitizers towards anticancer photodynamic therapy
    • Authors: K Liu, R Xing, Q Zou, G Ma, H Möhwald, X Yan
    • Journal: Angewandte Chemie
    • Year: 2016
Peptide-modulated self-assembly of chromophores toward biomimetic light-harvesting nanoarchitectonics
    • Authors: Q Zou, K Liu, M Abbas, X Yan
    • Journal: Advanced Materials
    • Year: 2016
Peptide-induced hierarchical long-range order and photocatalytic activity of porphyrin assemblies
    • Authors: K Liu, R Xing, C Chen, G Shen, L Yan, Q Zou, G Ma, H Möhwald, X Yan
    • Journal: Angewandte Chemie International Edition
    • Year: 2015