World's Best Scientists 2026 revealed!
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Jiajun Wu
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 56 201 201 28 28 124 16181
Computer Science 61 3058 2967 1496 1439 280 15689

Jiajun Wu publications per year

The chart shows the history of publications by Jiajun Wu between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jiajun Wu published across 27 years, from 1999 to 2025, averaging 12.7 papers a year. Output peaked at 73 publications in 2023. 84 of the 344 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 73. Peak 73 publications in 2023. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 1 publication 2012: 1 publication 2013: 2 publications 2014: 3 publications 2015: 3 publications 2016: 9 publications 2017: 14 publications 2018: 30 publications 2019: 26 publications 2020: 29 publications 2021: 27 publications 2022: 40 publications 2023: 73 publications 2024: 45 publications 2025: 39 publications
1999 2025

344 publications in total across all disciplines

View publications per year as a table
Jiajun Wu: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 1
2007 0
2008 0
2009 0
2010 0
2011 1
2012 1
2013 2
2014 3
2015 3
2016 9
2017 14
2018 30
2019 26
2020 29
2021 27
2022 40
2023 73
2024 45
2025 39
Total 344
Download as CSV

Jiajun Wu 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 Jiajun Wu 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, 272–281 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: 280 publications — 69th percentile

69% 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
272–281 335 280
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

Jiajun Wu 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 Jiajun Wu 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, 60–61 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: 61 D-Index — 79th percentile

79% 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 61
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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Jiajun Wu is affiliated with Stanford University in the United States and has a substantial body of research primarily focused on computer science and engineering. Their work spans various subfields, including computer vision and pattern recognition, control and systems engineering, artificial intelligence, computational mechanics, and computer graphics and computer-aided design.

Their recent papers highlight contributions to multiple aspects of computer vision, 3D shape modeling, and multimodal machine learning. Notable publications include:

  • 3D Shape Generation and Completion through Point-Voxel Diffusion (2021, 2021 IEEE/CVF International Conference on Computer Vision - ICCV)
  • SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations (2021, arXiv - Cornell University)
  • Neural Radiance Flow for 4D View Synthesis and Video Processing (2021, 2021 IEEE/CVF International Conference on Computer Vision - ICCV)
  • Revisiting the "Video" in Video-Language Understanding (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR)
  • VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models (2023, arXiv - Cornell University)

Their frequent co-authors include Joshua B. Tenenbaum, Li Fei-Fei, Hong-Xing Yu, Jiayuan Mao, and Ruohan Gao. Collaborations with these researchers have contributed to 20, 19, 18, 16, and 11 publications respectively.

Jiajun Wu's research has been featured extensively in renowned venues, particularly in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Transactions on Graphics
  • DSpace@MIT (Massachusetts Institute of Technology)

The main topics addressed in their work cover a diverse range of themes:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Robot Manipulation and Learning
  • Human Motion and Animation

Within the broader disciplines of computer science and engineering, Jiajun Wu focuses on problems related to vision, graphics, learning, and robotics. This research portfolio positions them at the interface of multiple technical domains, emphasizing both foundational and applied aspects of advanced machine learning systems in visual computing and robotic manipulation.

Best Publications

  • Video Enhancement with Task-Oriented Flow

    Tianfan Xue;Baian Chen;Jiajun Wu;Donglai Wei

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

    Jiajun Wu;Chengkai Zhang;Tianfan Xue;William T. Freeman

  • pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

    Eric R. Chan;Marco Monteiro;Petr Kellnhofer;Jiajun Wu

  • Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

    Xingyuan Sun;Jiajun Wu;Xiuming Zhang;Zhoutong Zhang

  • Deep multiple instance learning for image classification and auto-annotation

    Jiajun Wu;Yinan Yu;Chang Huang;Kai Yu

  • The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

    Jiayuan Mao;Chuang Gan;Pushmeet Kohli;Joshua B. Tenenbaum

  • Ambient Sound Provides Supervision for Visual Learning

    Andrew Hale Owens;Jiajun Wu;Joshua H. McDermott;William T. Freeman;William T. Freeman

  • Visual dynamics: probabilistic future frame synthesis via cross convolutional networks

    Tianfan Xue;Jiajun Wu;Katherine L. Bouman;William T. Freeman

  • Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

    Kexin Yi;Jiajun Wu;Chuang Gan;Antonio Torralba

  • Single Image 3D Interpreter Network

    Jiajun Wu;Tianfan Xue;Joseph J. Lim;Joseph J. Lim;Yuandong Tian

  • 3D Shape Generation and Completion Through Point-Voxel Diffusion

    Linqi Zhou;Yilun Du;Jiajun Wu

  • 3D Shape Generation and Completion through Point-Voxel Diffusion

    Linqi Zhou;Yilun Du;Jiajun Wu

  • Galileo: perceiving physical object properties by integrating a physics engine with deep learning

    Jiajun Wu;Ilker Yildirim;Joseph J. Lim;William T. Freeman

  • MarrNet: 3D Shape Reconstruction via 2.5D Sketches

    Jiajun Wu;Yifan Wang;Tianfan Xue;Xingyuan Sun

  • The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

    Jiayuan Mao;Chuang Gan;Pushmeet Kohli;Joshua B. Tenenbaum

  • SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

    Unknown

  • ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics

    Yuanming Hu;Jiancheng Liu;Andrew Spielberg;Joshua B. Tenenbaum

  • Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Jiajun Wu

  • Raster-to-Vector: Revisiting Floorplan Transformation

    Chen Liu;Jiajun Wu;Pushmeet Kohli;Yasutaka Furukawa

  • CLEVRER: Collision Events for Video Representation and Reasoning

    Kexin Yi;Chuang Gan;Yunzhu Li;Pushmeet Kohli

  • Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks

    Amir Arsalan Soltani;Haibin Huang;Jiajun Wu;Tejas D. Kulkarni

  • MarrNet: 3D Shape Reconstruction via 2.5D Sketches

    Jiajun Wu;Yifan Wang;Tianfan Xue;Xingyuan Sun

  • ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

    Unknown

  • Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

    Yunzhu Li;Jiajun Wu;Russ Tedrake;Joshua B. Tenenbaum

  • Visual Object Networks: Image Generation with Disentangled 3D Representations

    Jun-Yan Zhu;Zhoutong Zhang;Chengkai Zhang;Jiajun Wu

Frequent Co-Authors

Joshua B. Tenenbaum
Joshua B. Tenenbaum MIT
William T. Freeman
William T. Freeman MIT
Antonio Torralba
Antonio Torralba MIT
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Jun-Yan Zhu
Jun-Yan Zhu Carnegie Mellon University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Alberto Rodriguez
Alberto Rodriguez MIT
Josh H. McDermott
Josh H. McDermott MIT
Chelsea Finn
Chelsea Finn Stanford University

External Links

Personal website of Jiajun Wu Google Scholar page

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Best Scientists Citing Jiajun Wu

Antonio Torralba

Antonio Torralba

MIT

Publications: 40

Chuang Gan

Chuang Gan

University of Massachusetts Amherst

Publications: 40

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 37

Joshua B. Tenenbaum

Joshua B. Tenenbaum

MIT

Publications: 37

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 37

Andreas Geiger

Andreas Geiger

University of Tübingen

Publications: 36

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 35

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 33

Andrea Vedaldi

Andrea Vedaldi

University of Oxford

Publications: 33

Alexei A. Efros

Alexei A. Efros

University of California, Berkeley

Publications: 32

Kristen Grauman

Kristen Grauman

The University of Texas at Austin

Publications: 32

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 30

Abhinav Gupta

Abhinav Gupta

Carnegie Mellon University

Publications: 29

Jitendra Malik

Jitendra Malik

University of California, Berkeley

Publications: 29

Song-Chun Zhu

Song-Chun Zhu

Peking University

Publications: 24

Cordelia Schmid

Cordelia Schmid

French Institute for Research in Computer Science and Automation - INRIA

Publications: 21

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