World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 57 3765 3660 62 62 182 17235

Wee Sun Lee publications per year

The chart shows the history of publications by Wee Sun Lee between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wee Sun Lee published across 43 years, from 1983 to 2025, averaging 5.8 papers a year. Output peaked at 17 publications in 2020. 10 of the 251 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2020. 1983: 1 publication 1984: 0 publications 1985: 1 publication 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 1 publication 1994: 1 publication 1995: 3 publications 1996: 5 publications 1997: 6 publications 1998: 6 publications 1999: 2 publications 2000: 5 publications 2001: 3 publications 2002: 2 publications 2003: 6 publications 2004: 14 publications 2005: 6 publications 2006: 8 publications 2007: 8 publications 2008: 9 publications 2009: 7 publications 2010: 5 publications 2011: 8 publications 2012: 10 publications 2013: 9 publications 2014: 10 publications 2015: 8 publications 2016: 11 publications 2017: 11 publications 2018: 16 publications 2019: 15 publications 2020: 17 publications 2021: 14 publications 2022: 7 publications 2023: 3 publications 2024: 7 publications 2025: 3 publications
1983 2025

251 publications in total across all disciplines

View publications per year as a table
Wee Sun Lee: publications per year, 1983 to 2025
Year Publications
1983 1
1984 0
1985 1
1986 1
1987 0
1988 0
1989 1
1990 0
1991 1
1992 0
1993 1
1994 1
1995 3
1996 5
1997 6
1998 6
1999 2
2000 5
2001 3
2002 2
2003 6
2004 14
2005 6
2006 8
2007 8
2008 9
2009 7
2010 5
2011 8
2012 10
2013 9
2014 10
2015 8
2016 11
2017 11
2018 16
2019 15
2020 17
2021 14
2022 7
2023 3
2024 7
2025 3
Total 251
Download as CSV

Wee Sun Lee 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 Wee Sun Lee 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, 182–191 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: 182 publications — 39th percentile

39% 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
182–191 583 182
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
Download as CSV

Wee Sun Lee 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 Wee Sun Lee 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, 56–57 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: 57 D-Index — 74th percentile

74% 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 57
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

Wee Sun Lee is affiliated with the National University of Singapore in Singapore. Their research primarily lies within the field of Computer Science, with a specific focus on Artificial Intelligence, as well as related subfields such as Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Materials Chemistry, and Management Science and Operations Research.

The scientist's work encompasses multiple topics including Reinforcement Learning in Robotics, Multimodal Machine Learning Applications, Machine Learning and Data Classification, Advanced Graph Neural Networks, Robotic Path Planning Algorithms, Natural Language Processing Techniques, and Domain Adaptation and Few-Shot Learning.

Their publication record features contributions to several venues, notably:

  • arXiv (Cornell University)
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)

Some of their recent papers include:

  • "HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty" (2020, The International Journal of Robotics Research)
  • "Large Language Models as Commonsense Knowledge for Large-Scale Task Planning" (2023, arXiv (Cornell University))
  • "Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects" (2022, 2022 International Conference on Robotics and Automation (ICRA))
  • "Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations" (2020, arXiv (Cornell University))
  • "Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem" (2022, arXiv (Cornell University))

Frequent co-authors of Wee Sun Lee include David Hsu, Mohammed Haroon Dupty, Yong Liang Goh, Siddharth Aravindan, and Zichen Liu. Collaboration patterns indicate repeated partnerships, especially with David Hsu and Mohammed Haroon Dupty.

Best Publications

  • Boosting the margin: a new explanation for the effectiveness of voting methods

    Robert E. Schapire;Yoav Freund;Peter Bartlett;Wee Sun Lee

  • SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

    Hanna Kurniawati;David Hsu;Wee Sun Lee

  • Building text classifiers using positive and unlabeled examples

    B. Liu;Y. Dai;X. Li;W.S. Lee

  • Question classification using support vector machines

    Dell Zhang;Wee Sun Lee

  • Partially Supervised Classification of Text Documents

    Bing Liu;Wee Sun Lee;Philip S. Yu;Xiaoli Li

  • Boosting the margin: A new explanation for the effectiveness of voting methods

    Robert E. Schapire;Yoav Freund;Peter Barlett;Wee Sun Lee

  • An Unsupervised Neural Attention Model for Aspect Extraction.

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • Learning with positive and unlabeled examples using weighted logistic regression

    Wee Sun Lee;Bing Liu

  • DESPOT: Online POMDP Planning with Regularization

    Adhiraj Somani;Nan Ye;David Hsu;Wee Sun Lee

  • Convolutional Sequence to Sequence Model for Human Dynamics

    Chen Li;Zhen Zhang;Wee Sun Lee;Gim Hee Lee

  • Intention-aware online POMDP planning for autonomous driving in a crowd

    Haoyu Bai;Shaojun Cai;Nan Ye;David Hsu

  • Planning under Uncertainty for Robotic Tasks with Mixed Observability

    Sylvie C. W. Ong;Shao Wei Png;David Hsu;Wee Sun Lee

  • An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • Intention-Aware Motion Planning

    Tirthankar Bandyopadhyay;Kok Sung Won;Emilio Frazzoli;David Hsu

  • Exploiting document knowledge for aspect-level sentiment classification

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • Text classification by labeling words

    Bing Liu;Xiaoli Li;Wee Sun Lee;Philip S. Yu

  • PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians

    Yuanfu Luo;Panpan Cai;Aniket Bera;David Hsu

  • Efficient agnostic learning of neural networks with bounded fan-in

    Wee Sun Lee;P.L. Bartlett;R.C. Williamson

  • Motion planning under uncertainty for robotic tasks with long time horizons

    Hanna Kurniawati;Yanzhu Du;David Hsu;Wee Sun Lee

  • DESPOT: Online POMDP Planning with Regularization

    Nan Ye;Adhiraj Somani;David Hsu;Wee Sun Lee

  • Effective Attention Modeling for Aspect-Level Sentiment Classification

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

Frequent Co-Authors

David Hsu
David Hsu National University of Singapore
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley
Hwee Tou Ng
Hwee Tou Ng National University of Singapore
Robert C. Williamson
Robert C. Williamson University of Tübingen
Bing Liu
Bing Liu University of Illinois at Chicago
Yee Whye Teh
Yee Whye Teh University of Oxford
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens the door to diverse online degree programs and related career opportunities. For students looking for a fast-track option, a 2-year computer science degree online can help you quickly build technical skills and enter the workforce sooner. These accelerated programs are ideal for career changers and working professionals.

Beyond Computer Science, those interested in technology and problem-solving might consider an online degree for mechanical engineering. This pathway combines math, physics, and innovation, leading to careers in industries like manufacturing, robotics, and aerospace.

For students passionate about sustainability, environmental science offers a promising alternative. To learn more about sustainable careers and roles in research, government, and consulting, explore what can you get with an environmental science degree. You can also consider an environmental engineering degree for a tech-oriented, impactful career fighting environmental challenges.

Whether your interests are in coding, engineering, or environmental sciences, these online degree paths offer flexibility, affordability, and strong job prospects for the future.

Best Scientists Citing Wee Sun Lee

Trending Scientists

Recently Published Articles