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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
25360
World Ranking
739
National Ranking
114

Rong Jin 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 Rong Jin 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: 412 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Rong Jin 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 Rong Jin 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: 87 D-Index — 95th percentile

95% 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

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Rong Jin is affiliated with Alibaba Group in China and has a substantial body of work in computer science, particularly within the fields of computer vision and pattern recognition, as well as artificial intelligence. Jin's research contributions span several key areas including domain adaptation, few-shot learning, and advanced neural network applications.

Their active areas of study include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods

With 189 publications primarily under the broad umbrella of computer science, Jin's work is heavily concentrated in computer vision and pattern recognition, with 94 publications, and artificial intelligence, with 86 publications. Other subfields include electrical and electronic engineering and management science.

Jin has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Notable recent publications include:

  • Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Hybrid Relation Guided Set Matching for Few-shot Action Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation, 2021, arXiv (Cornell University)
  • CHEX: CHannel EXploration for CNN Model Compression, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Dash: Semi-Supervised Learning with Dynamic Thresholding, 2021, arXiv (Cornell University)

Jin collaborates frequently with several coauthors, including:

  • Pichao Wang, with 14 joint publications
  • Qi Qian, with 10 joint publications
  • Mingqian Tang, with 10 joint publications
  • Hao Li, with 10 joint publications
  • Xiuyu Sun, with 8 joint publications

Best Publications

  • Understanding bag-of-words model: A statistical framework

    Yin Zhang;Rong Jin;Zhi Hua Zhou

  • Batch mode active learning and its application to medical image classification

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • SemiBoost: Boosting for Semi-Supervised Learning

    P.K. Mallapragada;Rong Jin;A.K. Jain;Yi Liu

  • Combining link and content for community detection: a discriminative approach

    Tianbao Yang;Rong Jin;Yun Chi;Shenghuo Zhu

  • Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

    Zenglin Xu;Irwin King;Michael Rung-Tsong Lyu;Rong Jin

  • Flexible mixture model for collaborative filtering

    Luo Si;Rong Jin

  • An automatic weighting scheme for collaborative filtering

    Rong Jin;Joyce Y. Chai;Luo Si

  • Semisupervised SVM batch mode active learning with applications to image retrieval

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • Learning with Multiple Labels

    Rong Jin;Zoubin Ghahramani

  • Detecting communities and their evolutions in dynamic social networks--a Bayesian approach

    Tianbao Yang;Yun Chi;Shenghuo Zhu;Yihong Gong

  • Active Learning by Querying Informative and Representative Examples

    Sheng-Jun Huang;Rong Jin;Zhi-Hua Zhou

  • Active Learning by Querying Informative and Representative Examples

    Sheng-jun Huang;Rong Jin;Zhi-hua Zhou

  • SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

    Qi Qian;Lei Shang;Baigui Sun;Juhua Hu

  • Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison

    Tianbao Yang;Yu-feng Li;Mehrdad Mahdavi;Rong Jin

  • Online Feature Selection and Its Applications

    Jialei Wang;Peilin Zhao;Steven C. H. Hoi;Rong Jin

  • Multiple Kernel Learning for Visual Object Recognition: A Review

    Serhat S. Bucak;Rong Jin;Anil K. Jain

  • Large-scale text categorization by batch mode active learning

    Steven C. H. Hoi;Rong Jin;Michael R. Lyu

  • Simple and Efficient Multiple Kernel Learning by Group Lasso

    Zenglin Xu;Rong Jin;Haiqin Yang;Irwin King

  • Correlated Label Propagation with Application to Multi-label Learning

    Feng Kang;Rong Jin;R. Sukthankar

  • Tag Completion for Image Retrieval

    Lei Wu;Rong Jin;A. K. Jain

  • Discriminative semi-supervised feature selection via manifold regularization

    Zenglin Xu;Rong Jin;Michael R. Lyu;Irwin King

Frequent Co-Authors

Tianbao Yang
Tianbao Yang Texas A&M University
Anil K. Jain
Anil K. Jain Michigan State University
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Luo Si
Luo Si Alibaba Group (China)
Jinfeng Yi
Jinfeng Yi IBM (United States)
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor

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