World's Best Scientists 2026 revealed!
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Dahua Lin
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Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 89 635 617 91 89 261 41568

Dahua Lin publications per year

The chart shows the history of publications by Dahua Lin between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dahua Lin published across 21 years, from 2005 to 2025, averaging 28 papers a year. Output peaked at 162 publications in 2024. 241 of the 587 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 162. Peak 162 publications in 2024. 2005: 10 publications 2006: 4 publications 2007: 2 publications 2008: 0 publications 2009: 2 publications 2010: 4 publications 2011: 2 publications 2012: 8 publications 2013: 6 publications 2014: 11 publications 2015: 12 publications 2016: 7 publications 2017: 13 publications 2018: 29 publications 2019: 33 publications 2020: 39 publications 2021: 45 publications 2022: 32 publications 2023: 87 publications 2024: 162 publications 2025: 79 publications
2005 2025

587 publications in total across all disciplines

View publications per year as a table
Dahua Lin: publications per year, 2005 to 2025
Year Publications
2005 10
2006 4
2007 2
2008 0
2009 2
2010 4
2011 2
2012 8
2013 6
2014 11
2015 12
2016 7
2017 13
2018 29
2019 33
2020 39
2021 45
2022 32
2023 87
2024 162
2025 79
Total 587
Download as CSV

Dahua Lin 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 Dahua Lin 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, 252–261 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: 261 publications — 65th percentile

65% 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
252–261 377 261
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

Dahua Lin 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 Dahua Lin 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, 88–89 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: 89 D-Index — 96th percentile

96% 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 89
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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Dahua Lin is affiliated with the Chinese University of Hong Kong in China and has a research focus predominantly within the field of Computer Science. Their work emphasizes the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics such as Human Pose and Action Recognition, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Natural Language Processing Techniques, Advanced Vision and Imaging, 3D Shape Modeling and Analysis, and Video Analysis and Summarization.

Recent papers authored or coauthored by Dahua Lin include:

  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Revisiting Skeleton-based Action Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PYSKL: Towards Good Practices for Skeleton Action Recognition, 2022, Proceedings of the 30th ACM International Conference on Multimedia
  • Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation, 2020, arXiv (Cornell University)

Dahua Lin frequently collaborates with several researchers, with notable coauthor relationships including:

  • Ziwei Liu
  • Conghui He
  • Haodong Duan
  • Yuhang Zang
  • Yuhang Cao

The most common venues for Dahua Lin's publications are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Computer Vision

Best Publications

  • Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

    Sijie Yan;Yuanjun Xiong;Dahua Lin

  • Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • Unsupervised Feature Learning via Non-parametric Instance Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella X. Yu;Dahua Lin

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • Learning a Unified Classifier Incrementally via Rebalancing

    Saihui Hou;Xinyu Pan;Chen Change Loy;Zilei Wang

  • Revisiting Skeleton-based Action Recognition

    Unknown

  • Temporal Segment Networks for Action Recognition in Videos

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • CARAFE: Content-Aware ReAssembly of FEatures

    Jiaqi Wang;Kai Chen;Rui Xu;Ziwei Liu

  • Temporal Action Detection with Structured Segment Networks

    Yue Zhao;Yuanjun Xiong;Limin Wang;Zhirong Wu

  • Region Proposal by Guided Anchoring

    Jiaqi Wang;Kai Chen;Shuo Yang;Chen Change Loy

  • FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

    Tai Wang;Xinge Zhu;Jiangmiao Pang;Dahua Lin

  • UntrimmedNets for Weakly Supervised Action Recognition and Detection

    Limin Wang;Yuanjun Xiong;Dahua Lin;Luc Van Gool

  • Towards Diverse and Natural Image Descriptions via a Conditional GAN

    Bo Dai;Sanja Fidler;Raquel Urtasun;Dahua Lin

  • Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

    Xinge Zhu;Hui Zhou;Tai Wang;Fangzhou Hong

  • Detecting Visual Relationships with Deep Relational Networks

    Bo Dai;Yuqi Zhang;Dahua Lin

  • Adapting Object Detectors via Selective Cross-Domain Alignment

    Xinge Zhu;Jiangmiao Pang;Ceyuan Yang;Jianping Shi

  • Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes

    Jingqing Zhang;Markita P. Landry;Paul W. Barone;Jong Ho Kim;Jong Ho Kim

  • Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

    Dahua Lin;Sanja Fidler;Raquel Urtasun

  • Temporal Action Detection with Structured Segment Networks

    Yue Zhao;Yuanjun Xiong;Yuanjun Xiong;Limin Wang;Zhirong Wu;Zhirong Wu

Frequent Co-Authors

Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Yuanjun Xiong
Yuanjun Xiong Chinese University of Hong Kong
Jianping Shi
Jianping Shi SenseTime
Ziwei Liu
Ziwei Liu Nanyang Technological University
Bolei Zhou
Bolei Zhou University of California, Los Angeles
Sanja Fidler
Sanja Fidler University of Toronto
Junjie Yan
Junjie Yan SenseTime
Limin Wang
Limin Wang Nanjing University
Raquel Urtasun
Raquel Urtasun University of Toronto

External Links

Personal website of Dahua Lin Google Scholar page

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Best Scientists Citing Dahua Lin

Michael S. Strano

Michael S. Strano

MIT

Publications: 57

Larry S. Davis

Larry S. Davis

University of Maryland, College Park

Publications: 51

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 47

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 43

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 42

Tao Mei

Tao Mei

Jingdong (China)

Publications: 41

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 41

Yu Qiao

Yu Qiao

Chinese Academy of Sciences

Publications: 40

Xiaoou Tang

Xiaoou Tang

Chinese University of Hong Kong

Publications: 40

Trevor Darrell

Trevor Darrell

University of California, Berkeley

Publications: 38

Wanli Ouyang

Wanli Ouyang

Shanghai AI Lab

Publications: 38

Chunhua Shen

Chunhua Shen

Zhejiang University

Publications: 38

Jiashi Feng

Jiashi Feng

ByteDance

Publications: 37

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 36

Chuang Gan

Chuang Gan

University of Massachusetts Amherst

Publications: 36

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Wei-Shi Zheng

Sun Yat-sen University

Publications: 35

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