Yuanzhi Zhang | Machine learning | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Yuanzhi Zhang | Machine learning | Research Excellence Award

Nanjing University of Info. Sci. Techn. & Nantong Institute of Technology | China

Dr. Zhang Yuanzhi is a distinguished researcher at the University of Chinese Academy of Sciences, Beijing, China, specializing in advanced materials science and nanotechnology. He holds advanced degrees in materials science and engineering with a strong academic foundation in nanomaterials and electronic materials. Throughout his professional career, he has contributed extensively to academic research, collaborative scientific projects, and scholarly leadership within the materials science community. His research primarily focuses on nanomaterials, energy materials, and functional electronic materials, with significant contributions reflected in a large body of peer-reviewed publications and high citation impact. Dr. Zhang has authored numerous scientific articles and maintains a strong global research presence through collaborations with international scholars. His scholarly excellence is reflected in his high h-index, extensive citation record, and active participation in the scientific community through editorial contributions, peer-review activities, and professional memberships, demonstrating sustained commitment to advancing materials science research.

Citation Metrics (Scopus)

7193
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7193

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264

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44

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Featured Publications

Two-Decadal Estimation of Sixteen Phytoplankton Pigments from Satellite Observations in Coastal Waters
International Journal of Applied Earth Observation and Geoinformation – Journal Article

Different Mechanisms for the Seasonal Variations of the Mesoscale Eddy Energy in the South China Sea
Deep Sea Research Part I: Oceanographic Research Papers – Journal Article

Effect of Melt Ponds Fraction on Sea Ice Anomalies in the Arctic Ocean
International Journal of Applied Earth Observation and Geoinformation – Journal Article

Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Published on by Electrical Engineering

Dr. Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Lecturer | Nanjing Forestry University | China

Hui Zhang is a Lecturer at Nanjing Forestry University and a researcher specializing in soft robotics, with expertise in flexible materials, biomimetic structures, and intelligent robotic systems. He holds advanced academic degrees with specialization in robotics and interdisciplinary engineering. His professional experience includes serving as principal investigator on nationally funded research projects, leading innovative research initiatives, teaching robotics-related courses, and supervising graduate students while integrating research with education. His research focuses on soft robotic actuation, flexible drive mechanisms, and intelligent sensing, resulting in extensive publications, books, and patented technologies that advance robotic performance and adaptability. His contributions are recognized through competitive research grants, editorial appointments, international conference collaborations, and professional memberships in leading engineering societies. His scholarly impact is reflected by 45 publications, 449 citations, and an h-index of 11.

Citation Metrics (Scopus)

449
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45
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449

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45

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11

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Featured Publications

Free fatty acids as a marker for predicting periprocedural myocardial injury after coronary intervention
Yu Wang, Hui-Wen Zhang, Yuan-Lin Guo, Cheng-Gang Zhu, Na-Qiong Wu, Jian-Jun Li
Journal Article · Cardiology · 2019

Clinical evaluation of prostate cancer gene 3 score in diagnosis among Chinese men with prostate cancer and benign prostatic hyperplasia
Jin Huang, Hui-Zhen Zhang, Hai-Bo Wang, Kathleen H. Reilly
Journal Article · Oncology · 2015

Prevalence of Liddle Syndrome Among Young Hypertension Patients of Undetermined Cause in a Chinese Population
Lin-Ping Wang, Kun-Qi Yang, Xiong-Jing Jiang, Hai-Ying Wu, Hui-Min Zhang, Yu-Bao Zou, Lei Song, Jin Bian, Ru-Tai Hui, Ya-Xin Liu, Xian-Liang Zhou
Journal Article · Cardiology / Genetics · 2015

Transforming growth factor-β1 induces epithelial-to-mesenchymal transition in human lung cancer cells via PI3K/Akt and MEK/Erk1/2 signaling pathways
Xiao-Feng Chen, Hui-Jun Zhang, Hai-Bing Wang, Jun Zhu, Wen-Yong Zhou, Hui Zhang, Ming-Chuan Zhao, Jin-Mei Su, Wen Gao, Lei Zhang, Ke Fei, Hong-Tao Zhang, He-Yong Wang
Molecular Biology Reports · Oncology / Molecular Biology · 2012

Dauda Adenusi | Industrial Automation | Best Researcher Award

Published on by Electrical Engineering

Mr. Dauda Adenusi | Industrial Automation | Best Researcher Award

Lecturer | Atiba University | Nigeria

Dr. Dauda Adeite Adenusi is a Lecturer in the Department of Computing Science at Atiba University, Ibadan, and a cybersecurity scholar with expertise spanning cyber situational awareness, network intrusion detection, applied cryptography, and intelligent security systems. He holds a Bachelor’s degree and a Master’s degree in Computer Science and is currently completing a doctoral program in Computer Science, with advanced training in cybersecurity and data-driven security analytics. Dr. Adenusi has extensive academic and professional experience across universities and polytechnics, where he has served in teaching, research, academic leadership, and administrative roles, including Head of Department, program coordinator, accreditation committee chair, and student project supervisor. The author has received 7 citations across 2 scholarly documents, with an h-index of 1.

Citation Metrics (Scopus)

7
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1
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7

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2

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1

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View  Scopus Profile View  Google Scholar

Featured Publications

Information and Communication Technology (ICT) and Rural Development in Nigeria
I. O. Ebo, B. M. Amosa, D. A. Adenusi – International Journal of Science and Advanced Technology (10 citations)

Challenges and Way Out of Cyber Security Issues in Nigeria
D. A. Adenusi, A. U. Adekunle, O. O. Odewale – International Conference of Villanova Polytechnic (6 citations)

ICT in Education Among Higher Education Students
D. A. Adenusi, A. A. Adebayo, B. O. Oni – Villanova Journal of Science, Technology and Management (6 citations)

Development of Cyber Situation Awareness Model
D. Adenusi, B. K. Alese, B. M. Kuboye, A. F. B. Thompson – International Conference on Cyber Situational Awareness (5 citations)

Development of Threats Detection Model for Cyber Situation Awareness
A. D. Adenusi, E. C. Ayeleso, A. K. Kawonise, J. B. Ekuewa, A. A. Adebayo – ICONSEET Proceedings (4 citations)

Soodeh Hosseini | Machine Learning | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Soodeh Hosseini | Machine Learning | Research Excellence Award

Corresponding Author | Shahid Bahonar University of Kerman | Iran

Dr. Soodeh Hosseini is an Associate Professor of Computer Science at the Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, specializing in artificial intelligence, machine learning, cybersecurity, and complex networks. She holds a bachelor’s degree in Computer Science, a master’s degree in Computer Engineering with a specialization in software, and a doctorate in Computer Engineering with a focus on software engineering. Her professional experience encompasses extensive academic teaching, supervision of advanced research projects, leadership as head of academic and research units, and active involvement in technology growth centers and science parks, alongside advisory and executive roles in scholarly and innovation-driven initiatives. Her scholarly impact is evidenced by 1,426 citations, an h-index of 23, and an i10-index of 34.

Citation Metrics (Google Scholar)

1426
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1426

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34

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23

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i10-index

h-index

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Featured Publications

A hybrid sine–cosine and golden ratio optimization algorithm for feature selection in intrusion detection systems
M. Maazalahi, S. Hosseini – International Journal of System Assurance Engineering and Management

Analytics and measuring the vulnerability of communities for complex network security
M. Jouyban, S. Hosseini – International Journal of Data Science and Analytics

An Improved Binary Slime Mold Algorithm for Intrusion Detection Systems
M. Khorashadizade, S. Hosseini, M. Jouyban – Concurrency and Computation: Practice and Experience