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Chang-Dong Wang

Chang-Dong Wang

Sun Yat-sen University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 44 7618 7398 1003 997 271 7389

Chang-Dong Wang publications per year

The chart shows the history of publications by Chang-Dong Wang between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chang-Dong Wang published across 22 years, from 2005 to 2026, averaging 15.7 papers a year. Output peaked at 50 publications in 2024. 44 of the 345 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2024. 2005: 1 publication 2006: 0 publications 2007: 1 publication 2008: 0 publications 2009: 1 publication 2010: 4 publications 2011: 5 publications 2012: 2 publications 2013: 6 publications 2014: 4 publications 2015: 11 publications 2016: 21 publications 2017: 22 publications 2018: 19 publications 2019: 29 publications 2020: 13 publications 2021: 28 publications 2022: 42 publications 2023: 42 publications 2024: 50 publications 2025: 42 publications 2026: 2 publications
2005 2026

345 publications in total across all disciplines

View publications per year as a table
Chang-Dong Wang: publications per year, 2005 to 2026
Year Publications
2005 1
2006 0
2007 1
2008 0
2009 1
2010 4
2011 5
2012 2
2013 6
2014 4
2015 11
2016 21
2017 22
2018 19
2019 29
2020 13
2021 28
2022 42
2023 42
2024 50
2025 42
2026 2
Total 345
Download as CSV

Chang-Dong Wang 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 Chang-Dong Wang 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, 262–271 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: 271 publications — 67th percentile

67% 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
262–271 301 271
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
Download as CSV

Chang-Dong Wang 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 Chang-Dong Wang 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, 44–45 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: 44 D-Index — 48th percentile

48% 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 44
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
Download as CSV

Overview

Chang-Dong Wang is affiliated with Sun Yat-sen University in China and has contributed significantly to the field of computer science, with a particular focus on artificial intelligence and related subfields.

The scientist's recent publications reflect a research emphasis on multi-view clustering and advanced machine learning techniques. Notable papers include:

  • Multi-View Clustering in Latent Embedding Space, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning, 2023, IEEE Transactions on Neural Networks and Learning Systems
  • Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering, 2022, Information Fusion
  • Representation Learning in Multi-view Clustering: A Literature Review, 2022, Data Science and Engineering

Frequent co-authors of Chang-Dong Wang include:

  • Jianhuang Lai
  • Dong Huang
  • Man-Sheng Chen
  • Ling Huang
  • Philip S. Yu

The scientist regularly publishes in several venues, reflecting a focus on neural networks, knowledge engineering, and computational intelligence:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Chang-Dong Wang has published books with Springer Science+Business Media, including "Big Data" (2022) and "Advanced Data Mining and Applications" (2020).

The scientist's main field of study is computer science, with specialization in several subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Statistical and Nonlinear Physics
  • Urban Studies

Research topics prominently covered in Chang-Dong Wang's work include:

  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Text and Document Classification Technologies
  • Topic Modeling
  • Complex Network Analysis Techniques

Best Publications

  • Ultra-Scalable Spectral Clustering and Ensemble Clustering

    Dong Huang;Chang-Dong Wang;Jian-Sheng Wu;Jian-Huang Lai

  • Locally Weighted Ensemble Clustering

    Dong Huang;Chang-Dong Wang;Jian-Huang Lai

  • Generative Dual Adversarial Network for Generalized Zero-Shot Learning

    He Huang;Changhu Wang;Philip S. Yu;Chang-Dong Wang

  • Multi-View Clustering in Latent Embedding Space

    Man-Sheng Chen;Ling Huang;Chang-Dong Wang;Dong Huang

  • Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity

    Unknown

  • Weighted Multi-view Clustering with Feature Selection

    Yu-Meng Xu;Chang-Dong Wang;Jian-Huang Lai

  • Robust Ensemble Clustering Using Probability Trajectories

    Dong Huang;Jian-Huang Lai;Chang-Dong Wang

  • Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities

    Dong Huang;Chang-Dong Wang;Hongxing Peng;Jianhuang Lai

  • DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

    Zhi-Hong Deng;Ling Huang;Chang-Dong Wang;Jian-Huang Lai

  • Ensemble clustering using factor graph

    Dong Huang;Jianhuang Lai;Chang-Dong Wang

  • Multi-View Clustering Based on Belief Propagation

    Chang-Dong Wang;Jian-Huang Lai;Philip S. Yu

  • Representation Learning in Multi-view Clustering: A Literature Review

    Unknown

  • Multi-Exemplar Affinity Propagation

    Chang-Dong Wang;Jian-Huang Lai;Ching Y. Suen;Jun-Yong Zhu

  • Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering

    Chang-Dong Wang;Zhi-Hong Deng;Jian-Huang Lai;Philip S. Yu

  • Low-Rank Tensor Based Proximity Learning for Multi-View Clustering

    Unknown

  • Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis

    Dong Huang;Jian-Huang Lai;Chang-Dong Wang

  • Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering

    Unknown

  • EdMot: An Edge Enhancement Approach for Motif-aware Community Detection

    Pei-Zhen Li;Ling Huang;Chang-Dong Wang;Jian-Huang Lai

  • Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency

    Youwei Liang;Dong Huang;Chang-Dong Wang;Philip S. Yu

  • SVStream: A Support Vector-Based Algorithm for Clustering Data Streams

    Chang-Dong Wang;Jian-Huang Lai;Dong Huang;Wei-Shi Zheng

  • One-step Kernel Multi-view Subspace Clustering

    Guang-Yu Zhang;Yu-Ren Zhou;Yu-Ren Zhou;Xiao-Yu He;Chang-Dong Wang

  • Multi-view intact space clustering

    Ling Huang;Hong-Yang Chao;Chang-Dong Wang

  • Efficient Orthogonal Multi-view Subspace Clustering

    Unknown

  • An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment

    Wei-Tao Wen;Chang-Dong Wang;De-Shen Wu;Ying-Yan Xie

  • Robust Ensemble Clustering Using Probability Trajectories

    Dong Huang;Jian-Huang Lai;Chang-Dong Wang

  • Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering

    Youwei Liang;Dong Huang;Chang-Dong Wang

  • Multi-view Intact Space Clustering

    Ling Ling;Hong-Yang Chao;Chang-Dong Wang

Frequent Co-Authors

Jianhuang Lai
Jianhuang Lai Sun Yat-sen University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Hongyang Chao
Hongyang Chao Sun Yat-sen University
Chee Keong Kwoh
Chee Keong Kwoh Nanyang Technological University
Yuren Zhou
Yuren Zhou Sun Yat-sen University
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Changhu Wang
Changhu Wang ByteDance
Yuanqing Li
Yuanqing Li South China University of Technology
Zhenan Sun
Zhenan Sun Chinese Academy of Sciences
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)

External Links

Personal website of Chang-Dong Wang

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Best Scientists Citing Chang-Dong Wang

Xinwang Liu

Xinwang Liu

National University of Defense Technology

Publications: 13

Yazhou Ren

Yazhou Ren

University of Electronic Science and Technology of China

Publications: 10

Jingjing Li

Jingjing Li

Chinese University of Hong Kong

Publications: 10

Xindong Wu

Xindong Wu

Hefei University of Technology

Publications: 9

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 8

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 8

Zenglin Xu

Zenglin Xu

Harbin Institute of Technology

Publications: 8

Ri-Gui Zhou

Ri-Gui Zhou

Shanghai Maritime University

Publications: 8

Hamid Parvin

Hamid Parvin

Islamic Azad University, Tehran

Publications: 8

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 7

Shitong Wang

Shitong Wang

Jiangnan University

Publications: 7

Ling Shao

Ling Shao

Terminus International

Publications: 7

Zi Huang

Zi Huang

University of Queensland

Publications: 7

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 7

Jiye Liang

Jiye Liang

Shanxi University

Publications: 7

Fadi Dornaika

Fadi Dornaika

Ikerbasque

Publications: 7

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