World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
17981
World Ranking
4704
National Ranking
630

Cewu Lu 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 Cewu Lu 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Cewu Lu 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 Cewu Lu 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Cewu Lu is affiliated with Shanghai Jiao Tong University in China and contributes extensively to the fields of Computer Science and Engineering. Their research primarily focuses on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction, and Computational Mechanics.

Lu's work covers a range of main topics such as Human Pose and Action Recognition, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Hand Gesture Recognition Systems, 3D Shape Modeling and Analysis, Advanced Neural Network Applications, and Anomaly Detection Techniques and Applications.

Frequent coauthors collaborating with Lu include Yong-Lu Li, Wenqiang Xu, Hao-Shu Fang, Jiefeng Li, and Yang You. This network reflects a strong collaborative research environment contributing to various projects and publications.

Lu has published a significant number of papers across notable venues. Some of the frequent venues for publication include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Examples of recent papers authored or coauthored by Lu include:

  • AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Attribute Restoration Framework for Anomaly Detection (2020), IEEE Transactions on Multimedia
  • TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline (2022), IEEE Robotics and Automation Letters
  • Graspness Discovery in Clutters for Fast and Accurate Grasp Detection (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models (2023), arXiv (Cornell University)

Best Publications

  • RMPE: Regional Multi-person Pose Estimation

    Hao-Shu Fang;Shuqin Xie;Yu-Wing Tai;Cewu Lu

  • Abnormal Event Detection at 150 FPS in MATLAB

    Cewu Lu;Jianping Shi;Jiaya Jia

  • Image smoothing via L0 gradient minimization

    Li Xu;Cewu Lu;Yi Xu;Jiaya Jia

  • A scalable active framework for region annotation in 3D shape collections

    Li Yi;Vladimir G. Kim;Duygu Ceylan;I-Chao Shen

  • Visual Relationship Detection with Language Priors

    Cewu Lu;Ranjay Krishna;Michael S. Bernstein;Li Fei-Fei

  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

    Chen Wang;Danfei Xu;Yuke Zhu;Roberto Martin-Martin

  • CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark

    Jiefeng Li;Can Wang;Hao Zhu;Yihuan Mao

  • GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

    Hao-Shu Fang;Chenxi Wang;Minghao Gou;Cewu Lu

  • PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

    Mingyang Jiang;Yiran Wu;Cewu Lu

  • Deep LAC: Deep localization, alignment and classification for fine-grained recognition

    Di Lin;Xiaoyong Shen;Cewu Lu;Jiaya Jia

  • Virtual to Real Reinforcement Learning for Autonomous Driving.

    Xinlei Pan;Yurong You;Ziyan Wang;Cewu Lu

  • HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation

    Jiefeng Li;Chao Xu;Zhicun Chen;Siyuan Bian

  • Two-Class Weather Classification

    Cewu Lu;Di Lin;Jiaya Jia;Chi-Keung Tang

  • Pose Flow: Efficient Online Pose Tracking

    Yuliang Xiu;Jiefeng Li;Haoyu Wang;Yinghong Fang

  • TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

    Bo Pang;Yizhuo Li;Yifan Zhang;Muchen Li

  • Transferable Interactiveness Knowledge for Human-Object Interaction Detection

    Yong-Lu Li;Siyuan Zhou;Xijie Huang;Liang Xu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

    Hao-Shu Fang;Jianhua Sun;Runzhong Wang;Minghao Gou

  • Recursive Social Behavior Graph for Trajectory Prediction

    Jianhua Sun;Qinhong Jiang;Cewu Lu

  • Attribute Restoration Framework for Anomaly Detection

    Ye Fei;Chaoqin Huang;Cao Jinkun;Maosen Li

  • Attribute Restoration Framework for Anomaly Detection

    Chaoqin Huang;Fei Ye;Jinkun Cao;Maosen Li

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Li Fei-Fei
Li Fei-Fei Stanford University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Li Xu
Li Xu SenseTime
Jianping Shi
Jianping Shi SenseTime
Silvio Savarese
Silvio Savarese Stanford University
Yuke Zhu
Yuke Zhu The University of Texas at Austin

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