World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
147
Citations
130628
World Ranking
39
National Ranking
3

Qiang Yang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Qiang Yang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 1,150 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Qiang Yang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Qiang Yang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 147 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

  • Top 10 algorithms in data mining

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

  • Federated Machine Learning: Concept and Applications

    Qiang Yang;Yang Liu;Tianjian Chen;Yongxin Tong

  • Domain Adaptation via Transfer Component Analysis

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

  • Advances and Open Problems in Federated Learning

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

  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

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

  • A Survey on Multi-Task Learning

    Yu Zhang;Qiang Yang

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey

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

  • Boosting for transfer learning

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

  • EigenTransfer: a unified framework for transfer learning

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

  • One-Class Collaborative Filtering

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

  • Advances and open problems in federated learning

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

  • 10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

    Qiang Yang;Xindong Wu

  • Scalable collaborative filtering using cluster-based smoothing

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

  • An Overview of Multi-task Learning

    Yu Zhang;Qiang Yang

  • Cross-domain sentiment classification via spectral feature alignment

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

  • Towards Personalized Federated Learning.

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

  • Collaborative location and activity recommendations with GPS history data

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

  • Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

    Xu Geng;Yaguang Li;Leye Wang;Lingyu Zhang

  • Data preparation for data mining

    Shichao Zhang;Chengqi Zhang;Qiang Yang

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

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

  • Transfer learning via dimensionality reduction

    Sinno Jialin Pan;James T. Kwok;Qiang Yang

Frequent Co-Authors

Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Yu Zhang
Yu Zhang Southern University of Science and Technology
Sinno Jialin Pan
Sinno Jialin Pan Chinese University of Hong Kong
Han Yu
Han Yu Nanyang Technological University
Yanlin Song
Yanlin Song Chinese Academy of Sciences
Yong Yu
Yong Yu Shanghai Jiao Tong University
Vincent W. Zheng
Vincent W. Zheng Agency for Science, Technology and Research
Mingzhu Li
Mingzhu Li Chinese Academy of Sciences
Gui-Rong Xue
Gui-Rong Xue Alibaba Group (China)
Jian-Tao Sun
Jian-Tao Sun Microsoft (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Computer Science skills are highly transferable, opening doors to diverse and rewarding career paths. If you're considering alternative or complementary fields, various degrees are now accessible through flexible online programs. For example, an online criminal justice degree can lead to roles in digital forensics, cybersecurity, and public safety—areas that benefit from overlapping tech knowledge.

For those interested in business or finance, it's valuable to compare accounting degree cost and evaluate online options that fit your budget and career goals. The demand for analytics expertise is surging, so earning a data master online provides a strong foundation for careers in big data, AI, and applied research.

If you're drawn to engineering or architectural technology, an online degree for construction management blends management skills with technical proficiency, preparing graduates for leadership in a growing industry. Exploring these programs can help you broaden your skill set and maximize future opportunities.

Best Scientists Citing Qiang Yang

Trending Scientists

Recently Published Articles