Jianjun Yuan | Network Resilience and Robustness | Research Excellence Award

Published on by Network Science

Prof. Jianjun Yuan | Network Resilience and Robustness | Research Excellence Award

Southwest University | China

Prof. Jianjun Yuan is an established researcher whose work spans intelligent systems, deep learning, and secure networked applications, with strong contributions to intrusion detection, image understanding, and robust optimization models. His research emphasizes lightweight and resilient learning architectures for complex real-world environments, including in-vehicle networks, medical imaging, and high-resolution remote sensing. He has authored 39 scholarly documents, receiving 215 citations across 205 citing publications, and holds an h-index of 9, reflecting sustained research impact and influence. Recent publications include RL-IDS, a robust reinforcement learning–based intrusion detection system for in-vehicle networks (Journal of Information Security and Applications, 2026), IMFF, a dual-space optimization framework for remote sensing scene classification (Expert Systems with Applications, 2026), and MLFD, a multi-level feature disentanglement network for medical image recognition (Expert Systems with Applications, 2025). His work advances robust, interpretable, and application-driven artificial intelligence research.

Citation Metrics (Scopus)

300250

200

150

100

0

Citations
215

h-index
9

Citations

h-index


View Scopus Profile

Featured Publications

Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

Published on by Network Science

Dr. Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

University of Insubria | Italy

Dr. Khaoula Hidawi is a researcher specializing in secure and trustworthy unmanned aerial vehicle (UAV) systems, with a focus on trust management, cybersecurity, and data-driven intelligence in urban and cyber-physical environments. She has authored 3 scholarly documents, received 1 citation, and currently holds an h-index of 1, reflecting emerging impact in a highly technical research domain. Her work spans UAV cooperation, path planning, regulatory compliance, and resilience against adversarial threats such as signal jamming, GPS spoofing, and network vulnerabilities. She is the lead author of “AeroTrust-5D: A Five-Dimensional Trust Management System for Optimizing UAV Cooperation and Path Planning in Urban Areas,” published in IEEE Transactions on Vehicular Technology. Her research has also appeared in IEEE Transactions on Big Data and ACM security workshops, with additional manuscripts accepted or under review in leading IEEE and Elsevier journals, contributing to the advancement of secure, intelligent UAV and FANET systems.

Citation Metrics (Scopus)

3

2

1

0

Citations
1

h-index
1

Documents
3

Citations

h-index

Documents


View Scopus Profile

Featured Publications

Meihui Li | Information Entropy | Excellence in Research Award

Published on by Network Science

Dr. Meihui Li | Information Entropy | Excellence in Research Award

Yanshan University | China

Dr. Meihui Li is an interdisciplinary researcher whose work bridges music psychology, music therapy, neurorehabilitation, and human–machine interaction, with a strong emphasis on evidence-based intervention and experimental methods. With 7 published documents, 11 citations, and an h-index of 2, her research spans systematic reviews, psychophysiological experiments, and biomimetic design. She has contributed to high-impact journals including Biomimetics, Frontiers in Psychology, Frontiers in Neurology, and PLOS ONE (SCI/SSCI Q1–Q2), covering topics such as piano music therapy for stroke rehabilitation, prosocial music cognition using ERP, sleep-related music therapy, and psychometric assessment in music populations. Her work also advances wearable and robotic exoskeleton systems for piano practice through multi-domain mapping and top-down process models. Dr. Li is a registered PROSPERO systematic reviewer and completed a doctoral dissertation focused on deliberate-practice-based teaching models in music education, highlighting motivation and performance state optimization.

Citation Metrics (Scopus)

12

9

6

3

0

Citations
11

h-index
2

Documents
7

Citations

h-index

Documents


View Scopus Profile

Featured Publications

The Impact of Songs with Prosocial Lyrics on Implicit Cognition and Prosocial Behavior:
An Event-Related Brain Potentials Study
– Frontiers in Psychology (SSCI Q1), 2025 | Second Author

Meta-Narrative Review: The Impact of Music Therapy on Sleep and Future Research Directions
– Frontiers in Neurology (SCI Q2), 2024 | Co–First Author

Haowei Duan | Random Graph Models and Network Generative Models | Excellence in Research Award

Published on by Network Science

Mr. Haowei Duan | Random Graph Models and Network Generative Models | Excellence in Research Award

Shandong Normal University | China

Mr. Haowei Duan is a researcher whose work focuses on urban networks and the functional networks of urban agglomerations, with particular attention to the spatial organization and interactions of cities in China. His research integrates urban geography, complex systems, and network science to examine how population mobility shapes urban network structures and regional development patterns. By leveraging large-scale mobility data and quantitative modeling approaches, he seeks to uncover the mechanisms driving intercity connectivity, functional specialization, and spatial coordination within urban agglomerations. Mr. Duan is the author of the journal article “Modeling China’s Urban Network Structure: Unraveling the Drivers from a Population Mobility Perspective,” published in Systems. His work contributes to a deeper understanding of urban systems and provides empirical insights relevant to urban planning, regional policy, and sustainable metropolitan development.

View Orcid Profile

Featured Publication

Daxue Fu | Electrochemical Preparation of Al-Sc Alloys | Excellence in Research Award

Published on by Network Science

Assoc. Prof. Dr. Daxue Fu | Electrochemical Preparation of Al-Sc Alloys | Excellence in Research Award

Northeastern University | China

Assoc. Prof. Dr. Daxue Fu’s research focuses on advanced metallurgical processes, electrochemical energy systems, and catalytic materials for sustainable resource utilization. With 65 published documents, the body of work has received 382 citations from 223 citing sources, achieving an h-index of 13, reflecting consistent academic impact. The research spans CO₂ conversion and methanation catalysis, molten-salt electrochemistry, hydrogen energy materials, and green metallurgy, with particular emphasis on magnesium production, nonferrous metal extraction, and carbon-based functional materials. Key contributions include gradient-engineered catalysts, membrane electrolysis for metal recovery, electrolytic regeneration of absorbents, and process optimization for industrial metallurgical systems. Publications in Applied Surface Science, Metallurgical and Materials Transactions B, International Journal of Hydrogen Energy, Journal of Cleaner Production, Green Chemistry, and Journal of Alloys and Compounds highlight interdisciplinary advances linking materials science, chemical engineering, and low-carbon technologies, supporting efficient energy conversion, cleaner production, and sustainable industrial processes.

Citation Metrics (Scopus)

400

300

200

100

0

Citations
382

h-index
13

Citations

h-index


View Scopus Profile

Featured Publications


Thermodynamic and kinetic behavior of advanced metallurgical processes
– Metallurgical and Materials Transactions B, 2025
Electrochemical formation and characterization of Ni–Sc intermetallic compounds in molten salts
– Journal of Alloys and Compounds, 2024

Factors affecting reduction efficiency in industrial retorts for magnesium production
– Transactions of Nonferrous Metals Society of China, 2024