World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6935
World Ranking
11985
National Ranking
4894

Bin Fan 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 Bin Fan 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: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Bin Fan 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 Bin Fan 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Bin Fan is affiliated with Carnegie Mellon University in the United States. Their primary fields of research include Computer Science and Engineering, with a focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering, and Biomedical Engineering.

Their research encompasses a range of topics, notably:

  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Domain Adaptation and Few-Shot Learning
  • Image Enhancement Techniques

Bin Fan has contributed to several recent publications, which include:

  • "Video object detection for autonomous driving: Motion-aid feature calibration," 2020, Neurocomputing
  • "Image Enhancement Guided Object Detection in Visually Degraded Scenes," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "Deep attention aware feature learning for person re-Identification," 2022, Pattern Recognition
  • "A fundamental theorem for eco-environmental surface modelling and its applications," 2020, Science China Earth Sciences
  • "Exploring Rich Semantics for Open-Set Action Recognition," 2023, IEEE Transactions on Multimedia

Frequent co-authors in Bin Fan's research include:

  • Hongmin Liu
  • Gaofeng Meng
  • Hui Zeng
  • Shiming Xiang
  • Yufan Hu

Bin Fan has published numerous papers across various academic venues. Notable frequent publication venues include:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition

Best Publications

  • Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu;Bin Fan;Shiming Xiang;Chunhong Pan

  • L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space

    Yurun Tian;Bin Fan;Fuchao Wu

  • AugFPN: Improving Multi-Scale Feature Learning for Object Detection

    Chaoxu Guo;Bin Fan;Qian Zhang;Shiming Xiang

  • Local Intensity Order Pattern for feature description

    Zhenhua Wang;Bin Fan;Fuchao Wu

  • SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

    Yurun Tian;Xin Yu;Bin Fan;Fuchao Wu

  • DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

    Yongcheng Liu;Bin Fan;Gaofeng Meng;Jiwen Lu

  • Spectral Unmixing via Data-Guided Sparsity

    Feiyun Zhu;Ying Wang;Bin Fan;Shiming Xiang

  • Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

    Yongcheng Liu;Bin Fan;Lingfeng Wang;Jun Bai

  • Structured Sparse Method for Hyperspectral Unmixing

    Feiyun Zhu;Ying Wang;Shiming Xiang;Bin Fan

  • Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network

    Hengliang Luo;Yi Yang;Bei Tong;Fuchao Wu

  • Rotationally Invariant Descriptors Using Intensity Order Pooling

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT

    Bin Fan;Chunlei Huo;Chunhong Pan;Qingqun Kong

  • Aggregating gradient distributions into intensity orders: A novel local image descriptor

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Robust line matching through line-point invariants

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Line matching leveraged by point correspondences

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images

    Liang Yan;Bin Fan;Hongmin Liu;Chunlei Huo

  • Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery

    Guoli Wang;Bin Fan;Shiming Xiang;Chunhong Pan

  • Receptive Fields Selection for Binary Feature Description

    Bin Fan;Qingqun Kong;Tomasz Trzcinski;Zhiheng Wang

  • Progressive Sparse Local Attention for Video Object Detection

    Chaoxu Guo;Bin Fan;Jie Gu;Qian Zhang

  • Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

    Zisha Zhong;Bin Fan;Jiangyong Duan;Lingfeng Wang

  • Video object detection for autonomous driving: Motion-aid feature calibration

    Dongfang Liu;Yiming Cui;Yingjie Victor Chen;Jiyong Zhang

  • Data guided Sparse Method for Hyperspectral Unmixing.

    Feiyun Zhu;Ying Wang;Gaofeng Meng;Bin Fan

Frequent Co-Authors

Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Zhanyi Hu
Zhanyi Hu Chinese Academy of Sciences
Xinchao Wang
Xinchao Wang National University of Singapore
Gaofeng Meng
Gaofeng Meng Chinese Academy of Sciences
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Jiwen Lu
Jiwen Lu Tsinghua University
Junwei Han
Junwei Han Northwestern Polytechnical University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Shiyu Chang
Shiyu Chang University of California, Santa Barbara

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