World's Best Scientists 2026 revealed!
Ruofeng Tong

Ruofeng Tong

D-Index & Metrics

Computer Science

D-Index
32
Citations
6833
World Ranking
12927
National Ranking
1589

Ruofeng Tong 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 Ruofeng Tong 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Ruofeng Tong 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 Ruofeng Tong 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Ruofeng Tong is a researcher affiliated with Zhejiang University in China, specializing primarily in computer science and engineering. Their work spans various subfields including computer vision and pattern recognition, artificial intelligence, radiology and medical imaging, computational mechanics, and computer graphics and computer-aided design.

Their research topics cover several areas within these fields, featuring:

  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques
  • AI in Cancer Detection
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis

The publications of Ruofeng Tong often appear in venues related to artificial intelligence, biomedical informatics, and computer graphics. These venues include:

  • arXiv (Cornell University)
  • IEEE Journal of Biomedical and Health Informatics
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Computational Visual Media
  • IEEE Transactions on Medical Imaging

Frequent collaborators in their research network are Lanfen Lin, Yen-Wei Chen, Hongjie Hu, Yutaro Iwamoto, and Xian-Hua Han.

Among noteworthy recent papers authored or co-authored by Ruofeng Tong are:

  • "Mixed Transformer U-Net for Medical Image Segmentation" (2022), presented at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "P-cloth" (2020), published in ACM Transactions on Graphics
  • "ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation" (2022), included in the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images" (2021), published in Medical Physics
  • "Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization" (2023), featured in IEEE Transactions on Multimedia

Best Publications

  • UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

    Huimin Huang;Lanfen Lin;Ruofeng Tong;Hongjie Hu

  • Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection

    Chengyang Li;Dan Song;Ruofeng Tong;Min Tang

  • Mixed Transformer U-Net For Medical Image Segmentation.

    Hongyi Wang;Shiao Xie;Lanfen Lin;Yutaro Iwamoto

  • P-cloth: interactive complex cloth simulation on multi-GPU systems using dynamic matrix assembly and pipelined implicit integrators

    Cheng Li;Min Tang;Ruofeng Tong;Ming Cai

  • Collision-streams: fast GPU-based collision detection for deformable models

    Min Tang;Dinesh Manocha;Jiang Lin;Ruofeng Tong

  • A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.

    Hongsheng Jin;Zongyao Li;Ruofeng Tong;Lanfen Lin

  • A knowledge-based approach to assembly sequence planning

    Tianyang Dong;Ruofeng Tong;Ling Zhang;Jinxiang Dong

  • Deep-convolution-neural-network-based CT pulmonary nodule detection method

    Jin Hongsheng;Li Zongyao;Tong Ruofeng

  • Fast continuous collision detection using deforming non-penetration filters

    Min Tang;Dinesh Manocha;Ruofeng Tong

  • Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation

    Chengyang Li;Dan Song;Ruofeng Tong;Min Tang

  • Continuous penalty forces

    Min Tang;Dinesh Manocha;Miguel A. Otaduy;Ruofeng Tong

  • A hierarchical approach to disassembly sequence planning for mechanical product

    Tianyang Dong;Ling Zhang;Ruofeng Tong;Jinxiang Dong

  • Fast and exact continuous collision detection with Bernstein sign classification

    Min Tang;Ruofeng Tong;Zhendong Wang;Dinesh Manocha

  • ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation

    Unknown

  • MCCD: Multi-core collision detection between deformable models using front-based decomposition

    Min Tang;Dinesh Manocha;Ruofeng Tong

  • I-cloth: incremental collision handling for GPU-based interactive cloth simulation

    Min Tang;tongtong wang;Zhongyuan Liu;Ruofeng Tong

  • Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior

    Han Zheng;Lanfen Lin;Hongjie Hu;Qiaowei Zhang

  • Content-aware copying and pasting in images

    Meng Ding;Ruo-Feng Tong

  • Multi-core collision detection between deformable models

    Min Tang;Dinesh Manocha;Ruofeng Tong

  • A collaborative approach to assembly sequence planning

    Tianyang Dong;Ruofeng Tong;Ling Zhang;Jinxiang Dong

  • VolCCD: Fast continuous collision culling between deforming volume meshes

    Min Tang;Dinesh Manocha;Sung-Eui Yoon;Peng Du

Frequent Co-Authors

Yen-Wei Chen
Yen-Wei Chen Ritsumeikan University
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Sung-Eui Yoon
Sung-Eui Yoon Korea Advanced Institute of Science and Technology

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