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Mong Li Lee

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3446 3350 58 58 297 12950

Mong Li Lee publications per year

The chart shows the history of publications by Mong Li Lee between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mong Li Lee published across 56 years, from 1970 to 2025, averaging 6.6 papers a year. Output peaked at 25 publications in 2025. 49 of the 370 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2025. 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 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: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 1 publication 1992: 2 publications 1993: 1 publication 1994: 0 publications 1995: 2 publications 1996: 3 publications 1997: 1 publication 1998: 3 publications 1999: 4 publications 2000: 6 publications 2001: 11 publications 2002: 16 publications 2003: 18 publications 2004: 19 publications 2005: 18 publications 2006: 13 publications 2007: 12 publications 2008: 21 publications 2009: 13 publications 2010: 11 publications 2011: 10 publications 2012: 14 publications 2013: 11 publications 2014: 8 publications 2015: 9 publications 2016: 9 publications 2017: 9 publications 2018: 11 publications 2019: 18 publications 2020: 11 publications 2021: 19 publications 2022: 9 publications 2023: 7 publications 2024: 24 publications 2025: 25 publications
1970 2025

370 publications in total across all disciplines

View publications per year as a table
Mong Li Lee: publications per year, 1970 to 2025
Year Publications
1970 1
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 1
1992 2
1993 1
1994 0
1995 2
1996 3
1997 1
1998 3
1999 4
2000 6
2001 11
2002 16
2003 18
2004 19
2005 18
2006 13
2007 12
2008 21
2009 13
2010 11
2011 10
2012 14
2013 11
2014 8
2015 9
2016 9
2017 9
2018 11
2019 18
2020 11
2021 19
2022 9
2023 7
2024 24
2025 25
Total 370
Download as CSV

Mong Li 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 Mong Li 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, 292–301 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: 297 publications — 73rd percentile

73% 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
292–301 293 297
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

Mong Li 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 Mong Li 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, 58–59 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: 59 D-Index — 77th percentile

77% 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 59
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

Mong Li Lee is affiliated with the National University of Singapore, Singapore. Their work spans the fields of Medicine and Computer Science, with a notable focus on Artificial Intelligence and its applications in healthcare.

They have published extensively in topics including Retinal Imaging and Analysis, Machine Learning in Healthcare, Artificial Intelligence in Healthcare, Retinal Diseases and Treatments, Topic Modeling, Biomedical Text Mining and Ontologies, and Retinal and Optic Conditions.

The scientist's recent papers include the following:

  • A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre, 2020, Nature Biomedical Engineering
  • Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study, 2020, The Lancet Digital Health
  • A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations, 2020, The Lancet Digital Health
  • Personalizing Medication Recommendation with a Graph-Based Approach, 2021, ACM Transactions on Information Systems
  • Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include Wynne Hsu, Ngiap Chuan Tan, Tien Yin Wong, Hao Sen Andrew Fang, and Dejiang Xu.

Mong Li Lee publishes regularly in venues such as arXiv (Cornell University), The Lancet Digital Health, Scientific Reports, PLoS ONE, and the Journal of the American Medical Informatics Association.

Best Publications

  • Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

    Daniel Shu Wei Ting;Daniel Shu Wei Ting;Carol Yim Lui Cheung;Carol Yim Lui Cheung;Gilbert Lim;Gavin Siew Wei Tan;Gavin Siew Wei Tan

  • Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.

    Valentina Bellemo;Zhan W Lim;Gilbert Lim;Quang D Nguyen

  • A prime number labeling scheme for dynamic ordered XML trees

    X. Wu;M.L. Lee;W. Hsu

  • XClust: clustering XML schemas for effective integration

    Mong Li Lee;Liang Huai Yang;Wynne Hsu;Xia Yang

  • Supporting frequent updates in R-trees: a bottom-up approach

    Mong Li Lee;Wynne Hsu;Christian S. Jensen;Bin Cui

  • An effective approach to detect lesions in color retinal images

    Huan Wang;Wynne Hsu;Kheng Guan Goh;Mong Li Lee

  • Cleansing Data for Mining and Warehousing

    Mong-Li Lee;Tok Wang Ling;Hongjun Lu;Yee Teng Ko

  • Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study

    Yuchen Xie;Quang D Nguyen;Haslina Hamzah;Gilbert Lim

  • A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

    Charumathi Sabanayagam;Dejiang Xu;Daniel Sw Ting;Simon Nusinovici

  • Image Mining: Trends and Developments

    Wynne Hsu;Mong Li Lee;Ji Zhang

  • IntelliClean: a knowledge-based intelligent data cleaner

    Mong Li Lee;Tok Wang Ling;Wai Lup Low

  • Designing Functional Dependencies for XML

    Mong-Li Lee;Tok Wang Ling;Wai Lup Low

  • Mining relationships among interval-based events for classification

    Dhaval Patel;Wynne Hsu;Mong Li Lee

  • ICICLES: Self-Tuning Samples for Approximate Query Answering

    Venkatesh Ganti;Mong-Li Lee;Raghu Ramakrishnan

  • A knowledge-based approach for duplicate elimination in data cleaning

    Wai Lup Low;Mong Li Lee;Tok Wang Ling

  • Image mining: issues, frameworks and techniques

    Ji Zhang;Wynne Hsu;Mong Li Lee

  • NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs

    Jin Chen;Wynne Hsu;Mong Li Lee;See-Kiong Ng

  • Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

    Valentina Bellemo;Gilbert Lim;Tyler Hyungtaek Rim;Gavin S W Tan

  • BORDER: efficient computation of boundary points

    Chenyi Xia;W. Hsu;M.L. Lee;B.C. Ooi

  • Automatic grading of retinal vessel caliber

    Huiqi Li;W. Hsu;Mong Li Lee;Tien Yin Wong

  • Efficient mining of XML query patterns for caching

    Liang Huai Yang;Mong Li Lee;Wynne Hsu

  • The role of domain knowledge in the detection of retinal hard exudates

    W. Hsu;P.M.D.S. Pallawala;Mong Li Lee;Kah-Guan Au Eong

Frequent Co-Authors

Wynne Hsu
Wynne Hsu National University of Singapore
Tok Wang Ling
Tok Wang Ling National University of Singapore
Tien Yin Wong
Tien Yin Wong Tsinghua University
Carol Y. Cheung
Carol Y. Cheung Chinese University of Hong Kong
Jie Jin Wang
Jie Jin Wang University of Sydney
Stéphane Bressan
Stéphane Bressan National University of Singapore
Paul Mitchell
Paul Mitchell University of Sydney
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Gillian Dobbie
Gillian Dobbie University of Auckland

External Links

Personal website of Mong Li Lee Google Scholar page

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Best Scientists Citing Mong Li Lee

Tien Yin Wong

Tien Yin Wong

Tsinghua University

Publications: 176

Carol Y. Cheung

Carol Y. Cheung

Chinese University of Hong Kong

Publications: 72

Jie Jin Wang

Jie Jin Wang

University of Sydney

Publications: 39

Tok Wang Ling

Tok Wang Ling

National University of Singapore

Publications: 37

Emanuele Trucco

Emanuele Trucco

University of Dundee

Publications: 28

Paul Mitchell

Paul Mitchell

University of Sydney

Publications: 25

Jiang Liu

Jiang Liu

Southern University of Science and Technology

Publications: 23

Tharam S. Dillon

Tharam S. Dillon

La Trobe University

Publications: 21

Surajit Chaudhuri

Surajit Chaudhuri

Microsoft (United States)

Publications: 19

Gillian Dobbie

Gillian Dobbie

University of Auckland

Publications: 18

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 17

Elizabeth Chang

Elizabeth Chang

Griffith University

Publications: 16

Sourav S. Bhowmick

Sourav S. Bhowmick

Nanyang Technological University

Publications: 16

Greg Corrado

Greg Corrado

Google (United States)

Publications: 15

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 15

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 15

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