World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
18234
World Ranking
2316
National Ranking
318

Junchi Yan 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 Junchi Yan 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: 369 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Junchi Yan 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 Junchi Yan 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Junchi Yan is affiliated with Shanghai Jiao Tong University in China, focusing primarily on research within Computer Science. Their publication record spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Automotive Engineering, and Computational Theory and Mathematics.

Their research topics cover a diverse range of areas, notably:

  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Robotics and Sensor-Based Localization
  • Autonomous Vehicle Technology and Safety
  • Multimodal Machine Learning Applications

Junchi Yan has contributed to numerous research papers, some of which include:

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Image Matching from Handcrafted to Deep Features: A Survey (2020), published in the International Journal of Computer Vision
  • MMRotate (2022), published in the Proceedings of the 30th ACM International Conference on Multimedia
  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Learning Modulated Loss for Rotated Object Detection (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence

Junchi Yan frequently collaborates with several researchers, including:

  • Xiaokang Yang, with 44 co-authored works
  • Xue Yang, with 24 co-authored works
  • Qitian Wu, with 23 co-authored works
  • Xiaosong Jia, with 20 co-authored works
  • Yu Qiao, with 16 co-authored works

Their contributions are often published in notable venues such as:

  • arXiv (Cornell University), with 193 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, with 17 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, with 15 publications
  • IEEE Transactions on Knowledge and Data Engineering, with 7 publications
  • IEEE Transactions on Neural Networks and Learning Systems, with 5 publications

Best Publications

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

    Xue Yang;Junchi Yan;Ziming Feng;Tao He

  • Image Matching from Handcrafted to Deep Features: A Survey

    Jiayi Ma;Xingyu Jiang;Aoxiang Fan;Junjun Jiang

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Arbitrary-Oriented Object Detection with Circular Smooth Label

    Xue Yang;Junchi Yan

  • Generalizing Face Forgery Detection with High-frequency Features

    Yuchen Luo;Yong Zhang;Junchi Yan;Wei Liu

  • MMRotate: A Rotated Object Detection Benchmark using PyTorch

    Unknown

  • Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

    Xue Yang;Liping Hou;Yue Zhou;Wentao Wang

  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren;Junchi Yan;Bingbing Ni;Bin Liu

  • Learning Combinatorial Embedding Networks for Deep Graph Matching

    Runzhong Wang;Junchi Yan;Xiaokang Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • Deep Spectral Clustering Using Dual Autoencoder Network

    Xu Yang;Cheng Deng;Feng Zheng;Junchi Yan

  • Learning Modulated Loss for Rotated Object Detection

    Wen Qian;Xue Yang;Silong Peng;Junchi Yan

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.

    Xiaoyong Pan;Peter Rijnbeek;Junchi Yan;Hong-Bin Shen

  • Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

    Xue Yang;Xiaojiang Yang;Jirui Yang;Qi Ming

  • Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

    Xue Yang;Junchi Yan;Qi Ming;Wentao Wang

  • Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

    Shuai Xiao;Junchi Yan;Stephen M. Chu;Xiaokang Yang

  • Visual Saliency Detection via Sparsity Pursuit

    Junchi Yan;Mengyuan Zhu;Huanxi Liu;Yuncai Liu

  • A Short Survey of Recent Advances in Graph Matching

    Junchi Yan;Xu-Cheng Yin;Weiyao Lin;Cheng Deng

  • Person Re-Identification with Correspondence Structure Learning

    Yang Shen;Weiyao Lin;Junchi Yan;Mingliang Xu

  • Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder

    Longyuan Li;Junchi Yan;Haiyang Wang;Yaohui Jin

  • Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

    Junchi Yan;Minsu Cho;Hongyuan Zha;Xiaokang Yang

  • Modeling the intensity function of point process via recurrent neural networkss

    Shuai Xiao;Junchi Yan;Xiaokang Yang;Hongyuan Zha

Frequent Co-Authors

Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Xue Yang
Xue Yang Shanghai Jiao Tong University
Wei Liu
Wei Liu Tencent (China)
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Cheng Deng
Cheng Deng Xidian University
Yin Li
Yin Li Chinese Academy of Sciences
Baoxin Li
Baoxin Li Shaanxi Normal University
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence

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