Mavoungou Bayone Don-Faustin U-Vangsy | Data Visualization | Best Review Paper Award

Published on by Research Data Analysis

Best Review Paper Award

Mavoungou Bayone Don-Faustin U-Vangsy – Changchun University of Technology, China

Mavoungou Bayone Don-Faustin U-Vangsy
Affiliation Changchun University of Technology
Country China
Documents 1
Subject Area Data Visualization
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0007-2998-0419

Mavoungou Bayone Don-Faustin U-Vangsy is associated with Changchun University of Technology in China and is identified with Data Visualization as the stated subject area. The supplied profile records one document and an ORCID identifier. Detailed Scopus metrics, publication metadata, and citation indicators are not available in the supplied record and are therefore not inferred.

Abstract

This academic recognition profile documents the available information concerning Mavoungou Bayone Don-Faustin U-Vangsy, affiliated with Changchun University of Technology, China, and associated with Data Visualization. The supplied record indicates one document and an ORCID identifier. Scopus explains that author profiles may include publication, citation, affiliation, subject-area, and author-identifier information.[1]

Keywords

  • Data Visualization
  • Research Data Analysis
  • Academic Research
  • Research Publications
  • Research Impact
  • Best Review Paper Award
  • ORCID

Introduction

Data visualization supports the communication, exploration, and interpretation of complex information through graphical and interactive representations. In research data analysis, visualization can help identify patterns, relationships, distributions, and anomalies that are difficult to recognize in raw datasets. Its effectiveness depends on appropriate design, analytical context, accuracy, and interpretation of findings.[1]

Research Profile

Mavoungou Bayone Don-Faustin U-Vangsy is identified in the supplied profile as affiliated with Changchun University of Technology, China, with Data Visualization listed as the subject area. The supplied record reports one document and provides an ORCID identifier. Scopus ID, citation count, and h-index are not available in the supplied information.[2]

Research Contributions

The available record indicates research activity associated with Data Visualization, but it does not provide sufficient bibliographic detail to attribute specific methods, datasets, software, or findings. Accordingly, contributions should be assessed from documented publications, research outputs, and verifiable scholarly metadata rather than inferred from affiliation or subject classification alone carefully.[3]

Publications

The supplied information reports one document for the researcher. No publication title, journal, year, DOI, authorship position, publisher, or citation details were provided. Consequently, this page records the publication count without assigning unsupported bibliographic claims. A complete publication assessment would require verification through authoritative scholarly databases and the researcher’s identifier.[2]

Research Impact

Research impact may be examined through publications, citations, scholarly visibility, reuse, collaboration, and contributions to research practice. Scopus author profiles can provide publication and citation information, while ORCID supports persistent researcher identification. For this profile, citation and h-index values are unavailable, so no quantitative impact claim is currently made here.[3]

Award Suitability

The Best Review Paper Award recognizes a publication-based achievement, so suitability should depend on evidence that the nominated work is a review paper and meets the award’s criteria. The supplied record confirms one document but does not identify its type or title. Therefore, suitability is preliminary and requires publication verification.[3]

Conclusion

The available evidence presents a researcher affiliated with Changchun University of Technology whose stated subject area is Data Visualization and whose supplied record contains one document. The profile includes an ORCID identifier. Because publication and citation metadata are unavailable, recognition should remain evidence-based and subject to independent verification before evaluation.[2]

References

  1. When multimodal fusion helps: An ablation study of EEG–ECG fusion strategies for emotion recognition
    https://www.sciencedirect.com/science/article/abs/pii/S0010482526004592?via%3Dihub
  2. ORCID. (n.d.). ORCID record: Mavoungou Bayone Don-Faustin U-Vangsy. ORCID.
    https://orcid.org/0009-0007-2998-0419
  3. International Research Data Analysis Excellence & Awards(2026).
    https://researchdataanalysis.com/award-nomination/

 

Ripa Akter | Data Visualization | Research Excellence Award

Published on by Research Data Analysis

Mrs. Ripa Akter | Data Visualization | Research Excellence Award

University of Brahmanbaria | Bangladesh

Mrs. Ripa Akter is a dedicated academic and Senior Lecturer in the Department of Business Administration at the University of Brahmanbaria, with a strong specialization in Finance and Banking. She earned both her MBA and BBA from Comilla University, securing first position with outstanding academic records and receiving the prestigious Chancellor’s Award. Her research contributions include publications on banking profitability, liquidity determinants, and digital transformation in Bangladesh. Proficient in statistical tools such as SPSS, STATA, and E-Views, she combines analytical expertise with effective teaching. With strong communication skills and leadership abilities, she is committed to advancing knowledge and academic excellence.

Citation Metrics (Scopus)

30
20
10
5
0

Citations
2

Documents
3

h-index
1

Citations

Documents

h-index


View Orcid Profile
 View Google Scholar Profile

Featured Publications

Francisco Isrel Renteria Flores | Data Visualization | Best Researcher Award

Published on by Research Data Analysis

Dr. Francisco Isrel Renteria Flores | Data Visualization | Best Researcher Award

Dr. Francisco Isrel Renteria Flores at Centro Universitario de CIencias de la Salud, Mexico

👨‍🎓 Profile

📚 Academic Background

Francisco Israel Renteria Flores is a PhD candidate in Molecular Biology in Medicine at the University of Guadalajara. He holds a Master’s in Sustainable Production Systems and a Bachelor’s in Marine Biology, showcasing a strong research background and active involvement in scientific communication.

🎓 Education

Francisco completed his PhD in Molecular Biology in Medicine at the University of Guadalajara, Center for Health Sciences (2021-2023). He earned his Master’s in Sustainable Production Systems from Universidad Estatal de Sonora (2016-2018) and his Bachelor’s in Marine Biology at Instituto Tecnológico de Bahía de Banderas (2005-2009).

💼 Professional Experience

Currently, he is a PhD researcher at the Biomedical Research Center of Occidente (IMSS) from 2021 to 2025. Previously, he worked as a Master’s researcher at Universidad Estatal de Sonora (2016-2018) and completed research internships at CICIMAR-IPN (2008-2009), Instituto Tecnológico del Valle del Yaqui (2017), and CIAD-CONACYT Culiacán (2018). He also served as an academic coordinator and lecturer at Tecnológico de Monterrey from 2013 to 2017.

🔬 Research Interests

Francisco’s research interests lie in molecular biology and its medical applications, with a commitment to sustainable practices in biosciences. He has authored three scientific publications, including two as the first author, and has presented his work at international conferences in Spain, Mexico, and other venues.

📖  Top Noted Publications
Bactofection, Bacterial-Mediated Vaccination, and Cancer Therapy: Current Applications and Future Perspectives
    • Authors: Francisco Israel Renteria-Flores, Mariel García-Chagollán, Luis Felipe Jave-Suárez
    • Journal: Vaccines
    • Year: 2024
Severe COVID-19: Drugs and Clinical Trials
    • Authors: Hazael Ramiro Ceja-Gálvez, Francisco Israel Renteria Flores, Ferdinando Nicoletti, Jorge Hernández-Bello, Gabriela Macedo-Ojeda, José Francisco Muñoz-Valle
    • Journal: Journal of Clinical Medicine
    • Year: 2023

Shiyu Wu | Data Visualization | Best Researcher Award

Published on by Research Data Analysis

Mr. Shiyu Wu | Data Visualization | Best Researcher Award

Mr. Shiyu Wu at Department of shenyang university of technology, China

🔗 Profile

Scopus Profile

Summary 🌟

Wu Shiyu is a Master’s student at Shenyang University of Technology, engaged in a joint cultivation program with the Institute of Metals of the Chinese Academy of Sciences. His research delves into the microstructure, mechanical properties, and wear behavior of high chromium cast iron under various tempering temperatures. Through his work, he has uncovered valuable insights into the optimal heat treatment processes for advanced cast irons, aiming to enhance material performance and durability. 🛠️🔬

🎓 Education

Wu Shiyu completed his Bachelor’s degree at Shenyang University of Technology, where he developed a strong foundation in materials science and engineering. He is currently pursuing his Master’s degree at Shenyang University of Technology through a joint cultivation program with the Institute of Metals of the Chinese Academy of Sciences. This advanced program integrates theoretical knowledge with practical research experience, enhancing his expertise in materials engineering and high-performance alloys.

💼 Professional Experience

Wu Shiyu is currently a Master’s student at Shenyang University of Technology, where he is involved in advanced research on high chromium cast iron. In addition to his academic role, he participates in a joint research program with the Institute of Metals of the Chinese Academy of Sciences. His professional experience includes conducting in-depth investigations into the microstructure, mechanical properties, and wear behavior of cast iron, utilizing various analytical techniques such as SEM, TEM, and EBSD. This dual affiliation allows him to apply cutting-edge research methodologies and contribute to both academic and practical advancements in materials science.

🔬 Research Interests

Wu Shiyu’s research interests are centered on materials science and engineering, with a particular focus on the properties and behavior of high chromium cast iron. His work explores the effects of tempering temperatures on the microstructure, mechanical properties, and wear behavior of cast iron. He employs advanced analytical techniques, including Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Electron Backscatter Diffraction (EBSD), to investigate the relationships between microstructural changes and material performance. His research aims to optimize heat treatment processes to enhance the durability and functionality of advanced cast iron materials.

📖 Publication

Tempering Temperature Dependence on the Microstructure, Mechanical Properties and Wear Behaviour of a Novel High Chromium Cast Iron
  • Authors: Wu, S., Wang, D., Tao, X., Zhou, Y., Cui, C.
  • Journal: Tribology International
  • Year: 2024