World's Best Scientists 2026 revealed!
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Tat-Seng Chua
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Computer Science
Singapore
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 123 127 122 4 4 713 71014

Tat-Seng Chua publications per year

The chart shows the history of publications by Tat-Seng Chua between 1974 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tat-Seng Chua published across 52 years, from 1974 to 2025, averaging 22.2 papers a year. Output peaked at 150 publications in 2024. 266 of the 1,154 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1974 to 2025. Vertical axis: number of publications, 0 to 150. Peak 150 publications in 2024. 1974: 1 publication 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 1 publication 1988: 1 publication 1989: 1 publication 1990: 4 publications 1991: 3 publications 1992: 3 publications 1993: 4 publications 1994: 4 publications 1995: 5 publications 1996: 3 publications 1997: 3 publications 1998: 4 publications 1999: 4 publications 2000: 5 publications 2001: 8 publications 2002: 17 publications 2003: 23 publications 2004: 22 publications 2005: 16 publications 2006: 24 publications 2007: 24 publications 2008: 22 publications 2009: 30 publications 2010: 39 publications 2011: 29 publications 2012: 39 publications 2013: 33 publications 2014: 37 publications 2015: 23 publications 2016: 41 publications 2017: 40 publications 2018: 32 publications 2019: 45 publications 2020: 52 publications 2021: 56 publications 2022: 65 publications 2023: 124 publications 2024: 150 publications 2025: 116 publications
1974 2025

1,154 publications in total across all disciplines

View publications per year as a table
Tat-Seng Chua: publications per year, 1974 to 2025
Year Publications
1974 1
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 1
1985 0
1986 0
1987 1
1988 1
1989 1
1990 4
1991 3
1992 3
1993 4
1994 4
1995 5
1996 3
1997 3
1998 4
1999 4
2000 5
2001 8
2002 17
2003 23
2004 22
2005 16
2006 24
2007 24
2008 22
2009 30
2010 39
2011 29
2012 39
2013 33
2014 37
2015 23
2016 41
2017 40
2018 32
2019 45
2020 52
2021 56
2022 65
2023 124
2024 150
2025 116
Total 1,154
Download as CSV

Tat-Seng Chua 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 Tat-Seng Chua 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, 712–721 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: 713 publications — 98th percentile

98% 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 12 713
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

Tat-Seng Chua 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 Tat-Seng Chua 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 Singapore Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award

Overview

Tat-Seng Chua is affiliated with the National University of Singapore in Singapore. Their work primarily spans across the field of Computer Science, with a significant focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Computer Networks and Communications.

Their research contributions cover a broad range of topics within these areas. Main topics include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques

Tat-Seng Chua has published extensively, with notable recent papers including:

  • MGAT: Multimodal Graph Attention Network for Recommendation, 2020, Information Processing & Management
  • Self-Supervised Learning for Multimedia Recommendation, 2022, IEEE Transactions on Multimedia
  • Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering, 2021, arXiv (Cornell University)
  • Affective Image Content Analysis: Two Decades Review and New Perspectives, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Causal Attention for Interpretable and Generalizable Graph Classification, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

In terms of publication venues, their work has appeared frequently in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Information Systems
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Collaboration is notable in their career, with frequent co-authors including:

  • Fuli Feng
  • Xiang Wang
  • Xiangnan He
  • Wenqiang Lei
  • Yunshan Ma

Through this broad and multidisciplinary approach, Tat-Seng Chua's research has contributed to areas such as multimodal data analysis, recommendation systems, and graph-based learning methods, applying advanced techniques in artificial intelligence and machine learning.

Best Publications

  • Neural Collaborative Filtering

    Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie

  • Neural Graph Collaborative Filtering

    Xiang Wang;Xiangnan He;Meng Wang;Fuli Feng

  • NUS-WIDE: a real-world web image database from National University of Singapore

    Tat-Seng Chua;Jinhui Tang;Richang Hong;Haojie Li

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • KGAT: Knowledge Graph Attention Network for Recommendation

    Xiang Wang;Xiangnan He;Yixin Cao;Meng Liu

  • Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

    Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li

  • Neural Factorization Machines for Sparse Predictive Analytics

    Xiangnan He;Tat-Seng Chua

  • Meta-Transfer Learning for Few-Shot Learning

    Qianru Sun;Yaoyao Liu;Tat-Seng Chua;Bernt Schiele

  • Fast Matrix Factorization for Online Recommendation with Implicit Feedback

    Xiangnan He;Hanwang Zhang;Min-Yen Kan;Tat-Seng Chua

  • Disentangled Graph Collaborative Filtering

    Xiang Wang;Hongye Jin;An Zhang;Xiangnan He

  • Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

    Jun Xiao;Hao Ye;Xiangnan He;Hanwang Zhang

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • Explainable Reasoning over Knowledge Graphs for Recommendation

    Xiang Wang;Dingxian Wang;Canran Xu;Xiangnan He

  • Temporal Relational Ranking for Stock Prediction

    Fuli Feng;Xiangnan He;Xiang Wang;Cheng Luo

  • Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

    Yixin Cao;Xiang Wang;Xiangnan He;Zikun Hu

  • Visual Translation Embedding Network for Visual Relation Detection

    Hanwang Zhang;Zawlin Kyaw;Shih-Fu Chang;Tat-Seng Chua

  • MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • NAIS: Neural Attentive Item Similarity Model for Recommendation

    Xiangnan He;Zhankui He;Jingkuan Song;Zhenguang Liu

  • Hierarchical spatio-temporal context modeling for action recognition

    Ju Sun;Xiao Wu;Shuicheng Yan;Loong-Fah Cheong

  • Neural Sparse Voxel Fields

    Lingjie Liu;Jiatao Gu;Kyaw Zaw Lin;Tat-Seng Chua

  • Topical word embeddings

    Yang Liu;Zhiyuan Liu;Tat-Seng Chua;Maosong Sun

  • Tour the world: Building a web-scale landmark recognition engine

    Yan-Tao Zheng;Ming Zhao;Yang Song;Hartwig Adam

Frequent Co-Authors

Xiangnan He
Xiangnan He University of Science and Technology of China
Meng Wang
Meng Wang Hefei University of Technology
Liqiang Nie
Liqiang Nie Shandong University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Richang Hong
Richang Hong Hefei University of Technology
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Shuicheng Yan
Shuicheng Yan National University of Singapore
Min-Yen Kan
Min-Yen Kan National University of Singapore
Fuli Feng
Fuli Feng University of Science and Technology of China

External Links

Personal website of Tat-Seng Chua Google Scholar page

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Additionally, online education makes it more convenient and affordable to specialize. Options include an online environmental engineering degree or an online degree for mechanical engineering. These programs provide flexibility, making them ideal for working professionals or those needing to balance studies with personal commitments.

Best Scientists Citing Tat-Seng Chua

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 133

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 115

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 97

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 96

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 95

Yang Yang

Yang Yang

University of Electronic Science and Technology of China

Publications: 84

Qingming Huang

Qingming Huang

University of Chinese Academy of Sciences

Publications: 83

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 76

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 73

Xuelong Li

Xuelong Li

China Telecom (China)

Publications: 72

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 72

Zi Huang

Zi Huang

University of Queensland

Publications: 70

Jinhui Tang

Jinhui Tang

Nanjing University of Science and Technology

Publications: 68

Fumin Shen

Fumin Shen

University of Electronic Science and Technology of China

Publications: 66

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 65

Richang Hong

Richang Hong

Hefei University of Technology

Publications: 64

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