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Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University
China

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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 123 125 120 15 13 652 86943

Zhi-Hua Zhou publications per year

The chart shows the history of publications by Zhi-Hua Zhou between 1980 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhi-Hua Zhou published across 46 years, from 1980 to 2025, averaging 16 papers a year. Output peaked at 53 publications in 2017. 49 of the 736 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1980 to 2025. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2017. 1980: 1 publication 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 2 publications 2000: 4 publications 2001: 6 publications 2002: 11 publications 2003: 11 publications 2004: 18 publications 2005: 19 publications 2006: 31 publications 2007: 25 publications 2008: 26 publications 2009: 37 publications 2010: 34 publications 2011: 33 publications 2012: 34 publications 2013: 41 publications 2014: 28 publications 2015: 36 publications 2016: 45 publications 2017: 53 publications 2018: 45 publications 2019: 52 publications 2020: 33 publications 2021: 34 publications 2022: 10 publications 2023: 15 publications 2024: 20 publications 2025: 29 publications
1980 2025

736 publications in total across all disciplines

View publications per year as a table
Zhi-Hua Zhou: publications per year, 1980 to 2025
Year Publications
1980 1
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 1
1989 0
1990 0
1991 1
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 2
2000 4
2001 6
2002 11
2003 11
2004 18
2005 19
2006 31
2007 25
2008 26
2009 37
2010 34
2011 33
2012 34
2013 41
2014 28
2015 36
2016 45
2017 53
2018 45
2019 52
2020 33
2021 34
2022 10
2023 15
2024 20
2025 29
Total 736
Download as CSV

Zhi-Hua Zhou 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 Zhi-Hua Zhou 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, 652–661 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: 652 publications — 97th percentile

97% 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 20 652
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
Download as CSV

Zhi-Hua Zhou 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 Zhi-Hua Zhou 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, 122–123 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: 123 D-Index — 99th percentile

99% 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 20 123
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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
  • 2019 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to machine learning and data mining.
  • 2017 - Member of Academia Europaea
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to ensemble methods and learning from multi-labeled and partially-labeled data.
  • 2016 - ACM Fellow For contributions to machine learning and data mining.
  • 2013 - IEEE Fellow For contributions to learning systems in data mining and pattern recognition
  • 2013 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Zhi-Hua Zhou is affiliated with Nanjing University in China. Their research spans primarily the field of Computer Science, with a focus on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Signal Processing.

The scientist's recent publications include:

  • "Multi-Label Learning by Exploiting Label Correlations Locally" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Reducing the uncertainty in estimating soil microbial-derived carbon storage" (2024) in Proceedings of the National Academy of Sciences
  • "Learning With Interpretable Structure From Gated RNN" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "Towards Discovering What Patterns Trigger What Labels" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Prediction With Unpredictable Feature Evolution" (2021) in IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors of Zhi-Hua Zhou include:

  • Peng Zhao
  • Yuan Jiang
  • Shao-Qun Zhang
  • Chao Qian
  • Bojian Hou

Zhi-Hua Zhou publishes regularly in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

The scientist has contributed to book publications with Springer Science+Business Media, including two editions titled "Advances in Knowledge Discovery and Data Mining" published in 2022.

Their main research topics cover:

  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Machine Learning and Algorithms
  • Advanced Bandit Algorithms Research
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Anomaly Detection Techniques and Applications

Zhi-Hua Zhou has received multiple recognitions such as the Edward J. McCluskey Technical Achievement Award from IEEE Computer Society in 2019 for contributions to machine learning and data mining. They are a Member of Academia Europaea since 2017 and a Fellow of the American Association for the Advancement of Science (AAAS), the Association for the Advancement of Artificial Intelligence (AAAI), IEEE, and the ACM. The ACM fellowship was awarded in 2016 specifically for work in machine learning and data mining, and the AAAI fellowship recognizes contributions to ensemble methods as well as learning from multi-labeled and partially-labeled data. They also hold the titles of ACM Distinguished Member and ACM Senior Member.

Best Publications

  • Top 10 algorithms in data mining

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

  • Isolation Forest

    F.T. Liu;Kai Ming Ting;Zhi-Hua Zhou

  • ML-KNN: A lazy learning approach to multi-label learning

    Min-Ling Zhang;Zhi-Hua Zhou

  • A Review On Multi-Label Learning Algorithms

    Min-Ling Zhang;Zhi-Hua Zhou

  • Exploratory Undersampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • Ensemble Methods: Foundations and Algorithms

    Zhi-Hua Zhou

  • Ensembling neural networks: many could be better than all

    Zhi-Hua Zhou;Jianxin Wu;Wei Tang

  • Exploratory Under-Sampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • Isolation-Based Anomaly Detection

    Fei Tony Liu;Kai Ming Ting;Zhi-Hua Zhou

  • A brief introduction to weakly supervised learning

    Zhi-Hua Zhou

  • Training cost-sensitive neural networks with methods addressing the class imbalance problem

    Zhi-Hua Zhou;Xu-Ying Liu

  • Understanding bag-of-words model: A statistical framework

    Yin Zhang;Rong Jin;Zhi Hua Zhou

  • Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization

    Min-Ling Zhang;Zhi-Hua Zhou

  • Tri-training: exploiting unlabeled data using three classifiers

    Zhi-Hua Zhou;Ming Li

  • Automatic Age Estimation Based on Facial Aging Patterns

    Xin Geng;Zhi-Hua Zhou;K. Smith-Miles

  • Face recognition from a single image per person: A survey

    Xiaoyang Tan;Songcan Chen;Zhi-Hua Zhou;Fuyan Zhang

  • Deep forest: towards an alternative to deep neural networks

    Zhi-Hua Zhou;Ji Feng

  • Letters: (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition

    Daoqiang Zhang;Zhi-Hua Zhou

  • Facial Age Estimation by Learning from Label Distributions

    Xin Geng;Chao Yin;Zhi-Hua Zhou

  • A k-nearest neighbor based algorithm for multi-label classification

    Min-Ling Zhang;Zhi-Hua Zhou

  • Multi-Instance Multi-Label Learning with Application to Scene Classification

    Zhi-hua Zhou;Min-ling Zhang

Frequent Co-Authors

Yang Yu
Yang Yu Nanjing University
Rong Jin
Rong Jin Alibaba Group (China)
Songcan Chen
Songcan Chen Nanjing University of Aeronautics and Astronautics
Jianxin Wu
Jianxin Wu Nanjing University
Min-Ling Zhang
Min-Ling Zhang Southeast University
Tianbao Yang
Tianbao Yang Texas A&M University
Kai Ming Ting
Kai Ming Ting Nanjing University
De-Chuan Zhan
De-Chuan Zhan Nanjing University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Xin Geng
Xin Geng Southeast University

External Links

Wikipedia of Zhi-Hua Zhou Personal website of Zhi-Hua Zhou Google Scholar page

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Xin Yao

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Publications: 56

Xindong Wu

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Publications: 53

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Publications: 51

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Publications: 46

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