World's Best Scientists 2026 revealed!
Baoquan Chen

Baoquan Chen

D-Index & Metrics

Computer Science

D-Index
67
Citations
14892
World Ranking
2231
National Ranking
308

Baoquan Chen 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 Baoquan Chen sits on this spectrum.

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 publications 991+

This scientist: 263 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Baoquan Chen 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 Baoquan Chen sits on this spectrum.

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 D-Index 131+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to spatial data visualization

Overview

Baoquan Chen is affiliated with Peking University in China and has a significant research portfolio primarily focused on computer science and engineering. Their work is centered around computer vision and pattern recognition, computational mechanics, and computer graphics and computer-aided design, with additional contributions in control and systems engineering and artificial intelligence.

The scientist's main research topics include:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Human Motion and Animation
  • Robotics and Sensor-Based Localization
  • Generative Adversarial Networks and Image Synthesis

Baoquan Chen has published extensively in well-regarded venues. Their frequent publication outlets include:

  • arXiv (Cornell University) with 47 publications
  • ACM Transactions on Graphics with 24 publications
  • Computer Graphics Forum with 8 publications
  • IEEE Transactions on Visualization and Computer Graphics with 4 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 3 publications

Some of the recent papers authored in collaboration with other researchers are:

  • "DO-Conv: Depthwise Over-Parameterized Convolutional Layer," 2022, IEEE Transactions on Image Processing
  • "Unpaired motion style transfer from video to animation," 2020, ACM Transactions on Graphics
  • "Rhythmic Gesticulator," 2022, ACM Transactions on Graphics
  • "MotioNet," 2020, ACM Transactions on Graphics
  • "CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authorship includes collaborations with:

  • Xingyu Ni
  • Daniel Cohen-Or
  • Qingnan Fan
  • Xuelin Chen
  • Libin Liu

Baoquan Chen was awarded the IEEE Fellow in 2020 for contributions to spatial data visualization.

Best Publications

  • PointCNN: convolution on Χ -transformed points

    Yangyan Li;Rui Bu;Mingchao Sun;Wei Wu

  • Apparatus and Method for Real-Time Volume Processing and Universal Three-Dimensional Rendering

    Arie E. Kaufman;Ingmar Bitter;Frank Dachille;Kevin Kreeger

  • Knowledge and heuristic-based modeling of laser-scanned trees

    Hui Xu;Nathan Gossett;Baoquan Chen

  • Build-to-last: strength to weight 3D printed objects

    Lin Lu;Andrei Sharf;Haisen Zhao;Yuan Wei

  • L1-medial skeleton of point cloud

    Hui Huang;Shihao Wu;Daniel Cohen-Or;Minglun Gong

  • Automatic reconstruction of tree skeletal structures from point clouds

    Yotam Livny;Feilong Yan;Matt Olson;Baoquan Chen

  • A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing

    Qingnan Fan;Jiaolong Yang;Gang Hua;Baoquan Chen

  • Skeleton-aware networks for deep motion retargeting

    Kfir Aberman;Peizhuo Li;Dani Lischinski;Olga Sorkine-Hornung

  • Synthesizing Training Images for Boosting Human 3D Pose Estimation

    Wenzheng Chen;Huan Wang;Yangyan Li;Hao Su

  • Active co-analysis of a set of shapes

    Yunhai Wang;Shmulik Asafi;Oliver van Kaick;Hao Zhang

  • Attentive Moment Retrieval in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Xiangnan He

  • Visual clustering in parallel coordinates

    Hong Zhou;Xiaoru Yuan;Huamin Qu;Weiwei Cui

  • Cross-modal Moment Localization in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Qi Tian

  • GRAINS: Generative Recursive Autoencoders for INdoor Scenes

    Manyi Li;Akshay Gadi Patil;Kai Xu;Siddhartha Chaudhuri

  • SmartBoxes for interactive urban reconstruction

    Liangliang Nan;Andrei Sharf;Hao Zhang;Daniel Cohen-Or

  • DO-Conv: Depthwise Over-parameterized Convolutional Layer.

    Jinming Cao;Yangyan Li;Mingchao Sun;Ying Chen

  • Apparatus and method for real-time volume processing and universal 3d rendering

    Arie E. Kaufman;Ingmar Bitter;Baoquan Chen;Frank Dachille

  • Fit and diverse: set evolution for inspiring 3D shape galleries

    Kai Xu;Hao Zhang;Daniel Cohen-Or;Baoquan Chen

  • Multiresolution tetrahedral framework for visualizing regular volume data

    Yong Zhou;Baoquan Chen;Arie Kaufman

  • Inverse Procedural Modelling of Trees

    O. Stava;S. Pirk;J. Kratt;B. Chen

  • Non-local scan consolidation for 3D urban scenes

    Qian Zheng;Andrei Sharf;Guowei Wan;Yangyan Li

  • PointCNN: Convolution On $\mathcal{X}$-Transformed Points

    Yangyan Li;Rui Bu;Mingchao Sun;Wei Wu

Frequent Co-Authors

Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Andrei Sharf
Andrei Sharf Ben-Gurion University of the Negev
Dani Lischinski
Dani Lischinski Hebrew University of Jerusalem
Hao Zhang
Hao Zhang Simon Fraser University
Hui Huang
Hui Huang Shenzhen University
Kai Xu
Kai Xu National University of Defense Technology
Oliver Deussen
Oliver Deussen University of Konstanz
Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Niloy J. Mitra
Niloy J. Mitra University College London

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