World's Best Scientists 2026 revealed!
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Song-Chun Zhu

Song-Chun Zhu

Peking University
China

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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 98 405 393 52 50 530 39484

Song-Chun Zhu publications per year

The chart shows the history of publications by Song-Chun Zhu between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Song-Chun Zhu published across 32 years, from 1994 to 2025, averaging 19.6 papers a year. Output peaked at 69 publications in 2021. 51 of the 627 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 69. Peak 69 publications in 2021. 1994: 1 publication 1995: 2 publications 1996: 5 publications 1997: 5 publications 1998: 3 publications 1999: 5 publications 2000: 9 publications 2001: 9 publications 2002: 7 publications 2003: 13 publications 2004: 10 publications 2005: 11 publications 2006: 6 publications 2007: 20 publications 2008: 10 publications 2009: 16 publications 2010: 16 publications 2011: 20 publications 2012: 9 publications 2013: 24 publications 2014: 12 publications 2015: 23 publications 2016: 27 publications 2017: 35 publications 2018: 38 publications 2019: 43 publications 2020: 52 publications 2021: 69 publications 2022: 28 publications 2023: 48 publications 2024: 26 publications 2025: 25 publications
1994 2025

627 publications in total across all disciplines

View publications per year as a table
Song-Chun Zhu: publications per year, 1994 to 2025
Year Publications
1994 1
1995 2
1996 5
1997 5
1998 3
1999 5
2000 9
2001 9
2002 7
2003 13
2004 10
2005 11
2006 6
2007 20
2008 10
2009 16
2010 16
2011 20
2012 9
2013 24
2014 12
2015 23
2016 27
2017 35
2018 38
2019 43
2020 52
2021 69
2022 28
2023 48
2024 26
2025 25
Total 627
Download as CSV

Song-Chun Zhu publications per year - data summary

  • Song-Chun Zhu, a Computer Science scholar from Peking University, has 627 publications recorded across 32 years, from 1994 to 2025.
  • The oldest publication on record dates to 1994 and the most recent to 2025.
  • The most productive year is 2021, with 69 publications.
  • The least productive year with any output is 1994, with 1 publication.
  • The rate of publication averages 19.6 papers per year over the whole span, or 19.6 per year counting only the 32 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 196 publications, 31% of the career total.
  • Split into equal eras - 1994-2004: 69 publications (6.3 per year); 2005-2015: 167 publications (15.2 per year); 2016-2025: 391 publications (39.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Song-Chun Zhu 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 Song-Chun Zhu 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, 522–531 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: 530 publications — 94th percentile

94% 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 51 530
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

Song-Chun Zhu publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Song-Chun Zhu, a Computer Science scholar from Peking University, records 530 publications - the 94th percentile of the discipline.
  • 94% of ranked Computer Science scientists score the same or lower than Song-Chun Zhu, and about 6% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Song-Chun Zhu ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Song-Chun Zhu 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 Song-Chun Zhu 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, 98–99 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: 98 D-Index — 97th percentile

97% 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 98
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

Song-Chun Zhu D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Song-Chun Zhu, a Computer Science scholar from Peking University, records 98 D-Index - the 97th percentile of the discipline.
  • 97% of ranked Computer Science scientists score the same or lower than Song-Chun Zhu, and about 3% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Song-Chun Zhu ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Song-Chun Zhu is affiliated with Peking University in China, contributing to the field of Computer Science with a focus on Artificial Intelligence and related subfields. Their research spans several areas including Computer Vision and Pattern Recognition, Control and Systems Engineering, Cognitive Neuroscience, and Aerospace Engineering.

Their publication record highlights a concentration in Artificial Intelligence, with notable exploration in topics such as Multimodal Machine Learning Applications, Topic Modeling, Natural Language Processing Techniques, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Robot Manipulation and Learning, and Generative Adversarial Networks and Image Synthesis.

Frequent co-authors of Song-Chun Zhu include:

  • Yixin Zhu
  • Siyuan Huang
  • Ying Wu
  • Hangxin Liu
  • Ziyuan Jiao

The venues where Song-Chun Zhu most commonly publishes research are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Engineering
  • IEEE Robotics and Automation Letters

Recent papers authored or co-authored by Song-Chun Zhu include:

  • Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022, arXiv (Cornell University))
  • Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds (2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV))
  • Cascaded Parsing of Human-Object Interaction Recognition (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020, Engineering)
  • Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models (2023, arXiv (Cornell University))

Song-Chun Zhu's body of work is situated predominantly within computer science, emphasizing areas that intersect with machine learning, vision, and cognitive modeling techniques. The diversity of topics and frequent collaboration with multiple researchers underlines an interdisciplinary approach to artificial intelligence research.

Best Publications

  • Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation

    Song Chun Zhu;A. Yuille

  • Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

    S.C. Zhu;T.S. Lee;A.L. Yuille

  • Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling

    Song Chun Zhu;Yingnian Wu;David Mumford

  • Visual interpretability for deep learning: a survey

    Quan-shi Zhang;Song-chun Zhu

  • Image parsing : Unifying segmentation, detection, and recognition

    Zhuowen Tu;Xiangrong Chen;Alan L. Yuille;Song Chun Zhu

  • Image segmentation by data-driven Markov chain Monte Carlo

    Zhuowen Tu;Song-Chun Zhu

  • Image parsing: unifying segmentation, detection, and recognition

    Zhuowen Tu;Xiangrong Chen;Yuille;Zhu

  • Interpretable Convolutional Neural Networks

    Quanshi Zhang;Ying Nian Wu;Song-Chun Zhu

  • On Advances in Statistical Modeling of Natural Images

    A. Srivastava;A. B. Lee;E. P. Simoncelli;S.-C. Zhu

  • A Stochastic Grammar of Images

    Song-Chun Zhu;David Mumford

  • Cross-View Action Modeling, Learning, and Recognition

    Jiang Wang;Xiaohan Nie;Yin Xia;Ying Wu

  • Minimax Entropy Principle and Its Application to Texture Modeling

    Song Chun Zhu;Ying Nian Wu;David Mumford

  • Learning Human-Object Interactions by Graph Parsing Neural Networks

    Siyuan Qi;Wenguan Wang;Baoxiong Jia;Jianbing Shen

  • Prior learning and Gibbs reaction-diffusion

    Song Chun Zhu;D. Mumford

  • Statistical edge detection: learning and evaluating edge cues

    S. Konishi;A.L. Yuille;J.M. Coughlan;Song Chun Zhu

  • FORMS: a flexible object recognition and modeling system

    Song Chun Zhu;Alan L. Yuille

  • I2T: Image Parsing to Text Description

    Benjamin Z Yao;Xiong Yang;Liang Lin;Mun Wai Lee

  • Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

    Unknown

  • Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

    Hao-Shu Fang;Yuanlu Xu;Wenguan Wang;Xiaobai Liu

  • A Compositional and Dynamic Model for Face Aging

    Jinli Suo;Song-Chun Zhu;Shiguang Shan;Xilin Chen

  • FORMS: a flexible object recognition and modelling system

    S.C. Zhu;A.L. Yuille

Frequent Co-Authors

Ying Nian Wu
Ying Nian Wu University of California, Los Angeles
Yixin Zhu
Yixin Zhu Peking University
Tianfu Wu
Tianfu Wu North Carolina State University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Wenguan Wang
Wenguan Wang Zhejiang University
Yizhou Wang
Yizhou Wang Peking University
Sinisa Todorovic
Sinisa Todorovic Oregon State University
David Mumford
David Mumford Brown University
Liang Lin
Liang Lin Sun Yat-sen University
Zhuowen Tu
Zhuowen Tu University of California, San Diego

External Links

Personal website of Song-Chun Zhu Google Scholar page

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Best Scientists Citing Song-Chun Zhu

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 103

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 99

Anthony Yezzi

Anthony Yezzi

Georgia Institute of Technology

Publications: 61

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 52

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 44

Stefano Soatto

Stefano Soatto

University of California, Los Angeles

Publications: 44

Zhuowen Tu

Zhuowen Tu

University of California, San Diego

Publications: 42

Daniel Cremers

Daniel Cremers

Technical University of Munich

Publications: 40

Luc Van Gool

Luc Van Gool

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

Publications: 38

Amar Mitiche

Amar Mitiche

Institut National de la Recherche Scientifique

Publications: 37

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 35

Xiang Bai

Xiang Bai

Huazhong University of Science and Technology

Publications: 35

Xiuwen Liu

Xiuwen Liu

Florida State University

Publications: 35

William T. Freeman

William T. Freeman

MIT

Publications: 34

Dimitris N. Metaxas

Dimitris N. Metaxas

Rutgers, The State University of New Jersey

Publications: 33

Martial Hebert

Martial Hebert

Carnegie Mellon University

Publications: 33

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