2026 Qiang Yang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	147	39	37	3	2	1150	130628

Research.com Recognitions

2026 - Research.com Computer Science in China Leader Award
2025 - Research.com Computer Science in China Leader Award
2023 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award
2017 - ACM Fellow For contributions to artificial intelligence and data mining
2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to fundamental research and practical applications of AI planning, data mining and case-based reasoning
2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to data mining and transfer learning
2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2011 - ACM Distinguished Member
2009 - IEEE Fellow For contributions to understanding and application of intelligent planning, learning and data mining

Overview

Qiang Yang is affiliated with the Hong Kong University of Science and Technology in China. Their research spans a wide range of topics primarily in the fields of Engineering and Computer Science, with a particular emphasis on Electrical and Electronic Engineering, Control and Systems Engineering, and Computer Networks and Communications. The work also extends into specialized subfields such as Biomedical Engineering and Artificial Intelligence.

The scientist's research focuses on various main topics that include:

Smart Grid Energy Management
Network Security and Intrusion Detection
Microgrid Control and Optimization
Smart Grid Security and Resilience
Integrated Energy Systems Optimization
Electric Vehicles and Infrastructure
Advanced Neural Network Applications

Qiang Yang has contributed to numerous publications, primarily appearing in high-impact venues. Frequent publication venues include:

SSRN Electronic Journal
Applied Energy
Energy
arXiv (Cornell University)
IEEE Internet of Things Journal

Among recent papers, notable publications include:

"Machine learning driven smart electric power systems: Current trends and new perspectives" (2020) published in Applied Energy
"Deep learning based automatic defect identification of photovoltaic module using electroluminescence images" (2020) published in Solar Energy
"Data science and AI in FinTech: an overview" (2021) published in International Journal of Data Science and Analytics
"Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability" (2021) published in Applied Energy
"Real-time deep reinforcement learning based vehicle navigation" (2020) published in Applied Soft Computing

Frequent collaborators in research include Yanchong Zheng, Pengchao Yao, Yubin Wang, Yuanyi Chen, and Wei Dong.

Qiang Yang's work has received various recognitions such as:

ACM Fellow (2017) for contributions to artificial intelligence and data mining
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2013) for significant contributions to fundamental research and practical applications of AI planning, data mining and case-based reasoning
Fellow of the American Association for the Advancement of Science (AAAS) (2012)
Fellow of the International Association for Pattern Recognition (IAPR) (2012) for contributions to data mining and transfer learning
ACM Distinguished Member (2011)
IEEE Fellow (2009) for contributions to understanding and application of intelligent planning, learning and data mining

Best Publications

A Survey on Transfer Learning

Sinno Jialin Pan;Qiang Yang

24846
Citations
Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

7500
Citations
Federated Machine Learning: Concept and Applications

Qiang Yang;Yang Liu;Tianjian Chen;Yongxin Tong

5793
Citations
Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan;Ivor W Tsang;James T Kwok;Qiang Yang

4734
Citations
Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

4595
Citations
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang

3362
Citations
A Survey on Multi-Task Learning

Yu Zhang;Qiang Yang

2672
Citations
Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim;Nguyen Cong Luong;Dinh Thai Hoang;Yutao Jiao

2292
Citations
Boosting for transfer learning

Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu

1924
Citations
EigenTransfer: a unified framework for transfer learning

Wenyuan Dai;Ou Jin;Gui-Rong Xue;Qiang Yang

1797
Citations
One-Class Collaborative Filtering

Rong Pan;Yunhong Zhou;Bin Cao;N.N. Liu

1246
Citations
Advances and open problems in federated learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

1189
Citations
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

Qiang Yang;Xindong Wu

1024
Citations
Scalable collaborative filtering using cluster-based smoothing

Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi

1000
Citations
An Overview of Multi-task Learning

Yu Zhang;Qiang Yang

994
Citations
Cross-domain sentiment classification via spectral feature alignment

Sinno Jialin Pan;Xiaochuan Ni;Jian-Tao Sun;Qiang Yang

951
Citations
Towards Personalized Federated Learning.

Alysa Ziying Tan;Han Yu;Lizhen Cui;Qiang Yang

901
Citations
Collaborative location and activity recommendations with GPS history data

Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang

877
Citations
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

Xu Geng;Yaguang Li;Leye Wang;Lingyu Zhang

806
Citations
Data preparation for data mining

Shichao Zhang;Chengqi Zhang;Qiang Yang

780
Citations
Search engine with natural language-based robust parsing for user query and relevance feedback learning

Hai-Feng Wang;Kai-Fu Lee;Qiang Yang

773
Citations
Transfer learning via dimensionality reduction

Sinno Jialin Pan;James T. Kwok;Qiang Yang

748
Citations

Frequent Co-Authors

Zheng Chen Microsoft Research Asia (China)

Yu Zhang Southern University of Science and Technology

Sinno Jialin Pan Chinese University of Hong Kong

Han Yu Nanyang Technological University

Yanlin Song Chinese Academy of Sciences

Yong Yu Shanghai Jiao Tong University

Vincent W. Zheng Agency for Science, Technology and Research

Mingzhu Li Chinese Academy of Sciences

Gui-Rong Xue Alibaba Group (China)

Jian-Tao Sun Microsoft (United States)

External Links

Wikipedia of Qiang Yang Personal website of Qiang Yang Google Scholar page

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