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Computer Science
China
2026

D-Index & Metrics

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

Qiang Yang publications per year

The chart shows the history of publications by Qiang Yang between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qiang Yang published across 38 years, from 1988 to 2025, averaging 38.7 papers a year. Output peaked at 110 publications in 2020. 118 of the 1,470 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 110. Peak 110 publications in 2020. 1988: 2 publications 1989: 6 publications 1990: 10 publications 1991: 4 publications 1992: 8 publications 1993: 5 publications 1994: 9 publications 1995: 7 publications 1996: 9 publications 1997: 15 publications 1998: 15 publications 1999: 9 publications 2000: 11 publications 2001: 15 publications 2002: 18 publications 2003: 18 publications 2004: 25 publications 2005: 31 publications 2006: 32 publications 2007: 42 publications 2008: 43 publications 2009: 51 publications 2010: 51 publications 2011: 56 publications 2012: 65 publications 2013: 58 publications 2014: 59 publications 2015: 54 publications 2016: 64 publications 2017: 74 publications 2018: 90 publications 2019: 101 publications 2020: 110 publications 2021: 80 publications 2022: 47 publications 2023: 58 publications 2024: 53 publications 2025: 65 publications
1988 2025

1,470 publications in total across all disciplines

View publications per year as a table
Qiang Yang: publications per year, 1988 to 2025
Year Publications
1988 2
1989 6
1990 10
1991 4
1992 8
1993 5
1994 9
1995 7
1996 9
1997 15
1998 15
1999 9
2000 11
2001 15
2002 18
2003 18
2004 25
2005 31
2006 32
2007 42
2008 43
2009 51
2010 51
2011 56
2012 65
2013 58
2014 59
2015 54
2016 64
2017 74
2018 90
2019 101
2020 110
2021 80
2022 47
2023 58
2024 53
2025 65
Total 1,470
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 991+ publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100 1,150
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98 147
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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

  • 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)

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