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Kam-Fai Wong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7054 6849 940 934 316 11939

Kam-Fai Wong publications per year

The chart shows the history of publications by Kam-Fai Wong between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kam-Fai Wong published across 40 years, from 1986 to 2025, averaging 11.3 papers a year. Output peaked at 48 publications in 2024. 95 of the 451 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2024. 1986: 4 publications 1987: 0 publications 1988: 3 publications 1989: 3 publications 1990: 2 publications 1991: 2 publications 1992: 0 publications 1993: 3 publications 1994: 2 publications 1995: 3 publications 1996: 1 publication 1997: 0 publications 1998: 8 publications 1999: 7 publications 2000: 14 publications 2001: 15 publications 2002: 9 publications 2003: 11 publications 2004: 9 publications 2005: 22 publications 2006: 29 publications 2007: 11 publications 2008: 16 publications 2009: 9 publications 2010: 7 publications 2011: 12 publications 2012: 9 publications 2013: 9 publications 2014: 6 publications 2015: 12 publications 2016: 6 publications 2017: 12 publications 2018: 14 publications 2019: 9 publications 2020: 7 publications 2021: 18 publications 2022: 11 publications 2023: 41 publications 2024: 48 publications 2025: 47 publications
1986 2025

451 publications in total across all disciplines

View publications per year as a table
Kam-Fai Wong: publications per year, 1986 to 2025
Year Publications
1986 4
1987 0
1988 3
1989 3
1990 2
1991 2
1992 0
1993 3
1994 2
1995 3
1996 1
1997 0
1998 8
1999 7
2000 14
2001 15
2002 9
2003 11
2004 9
2005 22
2006 29
2007 11
2008 16
2009 9
2010 7
2011 12
2012 9
2013 9
2014 6
2015 12
2016 6
2017 12
2018 14
2019 9
2020 7
2021 18
2022 11
2023 41
2024 48
2025 47
Total 451
Download as CSV

Kam-Fai Wong 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 Kam-Fai Wong 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, 312–321 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: 316 publications — 77th percentile

77% 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
312–321 238 316
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

Kam-Fai Wong 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 Kam-Fai Wong 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: 45 D-Index — 51st percentile

51% 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 45
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

Kam-Fai Wong is affiliated with the Chinese University of Hong Kong in China and has produced extensive research mainly within the domain of computer science. Their work spans several subfields, including artificial intelligence, computer vision and pattern recognition, information systems, sociology and political science, and statistical and nonlinear physics.

The scientist's research topics cover a wide range of areas, with primary focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Multimodal Machine Learning Applications
  • Recommender Systems and Techniques
  • Sentiment Analysis and Opinion Mining
  • Semantic Web and Ontologies

Kam-Fai Wong has contributed to academic literature through numerous publications, including the following recent papers:

  • "Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion," 2023, ACM Transactions on Information Systems
  • "An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks," 2020, ACM Transactions on Intelligent Systems and Technology
  • "Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning," 2023, Machine Intelligence Research
  • "Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception," 2024, arXiv (Cornell University)

Frequent co-authors working alongside Kam-Fai Wong include:

  • Hongru Wang
  • Lingzhi Wang
  • Xingshan Zeng
  • Wai-Chung Kwan
  • Fei Mi

This scholar has also published repeatedly in particular academic venues, such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • Gastroenterology

Kam-Fai Wong's research presence is primarily grounded in computer science, with a significant concentration on artificial intelligence applications and methodologies. Their work involves both theoretical and applied aspects, including studies on dialogue systems, machine learning approaches, and complex information modeling.

Best Publications

  • Interpreting TF-IDF term weights as making relevance decisions

    Ho Chung Wu;Robert Wing Pong Luk;Kam Fai Wong;Kui Lam Kwok

  • Detecting rumors from microblogs with recurrent neural networks

    Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon

  • Detect Rumors Using Time Series of Social Context Information on Microblogging Websites

    Jing Ma;Wei Gao;Zhongyu Wei;Yueming Lu

  • Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning

    Jing Ma;Wei Gao;Kam Fai Wong

  • Rumor Detection on Twitter with Tree-structured Recursive Neural Networks

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Extractive Summarization Using Supervised and Semi-Supervised Learning

    Kam-Fai Wong;Mingli Wu;Wenjie Li

  • Component-based software engineering: technologies, development frameworks, and quality assurance schemes

    Xia Cai;M.R. Lyu;Kam-Fai Wong;Roy Ko

  • Detect Rumor and Stance Jointly by Neural Multi-task Learning

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

    Baolin Peng;Xiujun Li;Jianfeng Gao;Jingjing Liu

  • Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning

    Baolin Peng;Xiujun Li;Lihong Li;Jianfeng Gao

  • Task-oriented Dialogue System for Automatic Diagnosis

    Zhongyu Wei;Qianlong Liu;Baolin Peng;Huaixiao Tou

  • Web 2.0 environmental scanning and adaptive decision support for business mergers and acquisitions

    Raymond Y. K. Lau;Stephen S. Y. Liao;K. F. Wong;Dickson K. W. Chiu

  • A genetic algorithm-based clustering approach for database partitioning

    Chun-Hung Cheng;Wing-Kin Lee;Kam-Fai Wong

  • A TSP-based heuristic for forming machine groups and part families

    C. H. Cheng;Y.P. Gupta;W.H. Lee;K.F. Wong

  • FACOPT: a user friendly FACility layout OPTimization system

    Jaydeep Balakrishnan;Chun Hung Cheng;Kam-Fai Wong

  • Natural Language Processing – IJCNLP 2005

    Robert Dale;Kam-Fai Wong;Jian Su;Oi Yee Kwong

  • Sentence-level evidence embedding for claim verification with hierarchical attention networks

    Jing Ma;Wei Gao;Shafiq R. Joty;Kam-Fai Wong

  • Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities

    Lanjun Zhou;Binyang Li;Wei Gao;Zhongyu Wei

  • Introduction to Chinese Natural Language Processing

    Kam-Fai Wong;Wenji Li;Ruifeng Xu;Zheng-sheng Zhang

  • Integrating planning for task-completion dialogue policy learning.

    Baolin Peng;Xiujun Li;Jianfeng Gao;Jingjing Liu

  • Detect rumors using time series of social context information on microblogging

    Jing Ma;Wei Gao;Zhongyu Wei;Yueming Lu

Frequent Co-Authors

Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Zhongyu Wei
Zhongyu Wei Fudan University
Baolin Peng
Baolin Peng Microsoft (United States)
Ruifeng Xu
Ruifeng Xu Harbin Institute of Technology
Chun Hung Cheng
Chun Hung Cheng Chinese University of Hong Kong
Qin Lu
Qin Lu Hong Kong Polytechnic University
Peter Bruza
Peter Bruza Queensland University of Technology
S. L. Ho
S. L. Ho Hong Kong Polytechnic University
Dawei Song
Dawei Song The Open University
Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong

External Links

Personal website of Kam-Fai Wong Google Scholar page

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Best Scientists Citing Kam-Fai Wong

Preslav Nakov

Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Publications: 44

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 29

Minlie Huang

Minlie Huang

Tsinghua University

Publications: 25

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 24

Ruifeng Xu

Ruifeng Xu

Harbin Institute of Technology

Publications: 20

Xiaojun Wan

Xiaojun Wan

Peking University

Publications: 18

Yulan He

Yulan He

King's College London

Publications: 16

Raymond Y. K. Lau

Raymond Y. K. Lau

City University of Hong Kong

Publications: 16

Alberto Barrón-Cedeño

Alberto Barrón-Cedeño

University of Bologna

Publications: 16

Michael R. Lyu

Michael R. Lyu

Chinese University of Hong Kong

Publications: 15

Maria Liakata

Maria Liakata

Queen Mary University of London

Publications: 15

Huan Liu

Huan Liu

Arizona State University

Publications: 15

Erik Cambria

Erik Cambria

Nanyang Technological University

Publications: 14

Arkaitz Zubiaga

Arkaitz Zubiaga

Queen Mary University of London

Publications: 14

James Glass

James Glass

MIT

Publications: 13

Lluís Màrquez

Lluís Màrquez

Amazon (United States)

Publications: 12

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