World's Best Scientists 2026 revealed!
Jianmin Wang

Jianmin Wang

D-Index & Metrics

Computer Science

D-Index
65
Citations
24445
World Ranking
2405
National Ranking
326

Jianmin Wang 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 Jianmin Wang 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 335 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Jianmin Wang 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 Jianmin Wang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Jianmin Wang is affiliated with Tsinghua University in China. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Information Systems.

The scientist's main topics of work include:

  • Time Series Analysis and Forecasting
  • Domain Adaptation and Few-Shot Learning
  • Advanced Database Systems and Queries
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Data Management and Algorithms
  • Data Stream Mining Techniques

Their publication record includes a number of recent papers:

  • Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting (2021, arXiv (Cornell University))
  • PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning (2022, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis (2022, arXiv (Cornell University))
  • Skilful nowcasting of extreme precipitation with NowcastNet (2023, Nature)

Jianmin Wang has collaborated frequently with a number of co-authors, including:

  • Mingsheng Long (65 coauthored works)
  • Shaoxu Song (27 coauthored works)
  • Haixu Wu (23 coauthored works)
  • Xiangdong Huang (16 coauthored works)
  • Zhangjie Cao (10 coauthored works)

They have published work in several prominent academic venues, with frequent contributions to:

  • arXiv (Cornell University) - 60 publications
  • Proceedings of the VLDB Endowment - 9 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence - 6 publications
  • Proceedings of the ACM on Management of Data - 5 publications
  • SSRN Electronic Journal - 5 publications

Best Publications

  • Learning Transferable Features with Deep Adaptation Networks

    Mingsheng Long;Mingsheng Long;Yue Cao;Jianmin Wang;Michael Jordan

  • Transfer Feature Learning with Joint Distribution Adaptation

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Unsupervised domain adaptation with residual transfer networks

    Mingsheng Long;Han Zhu;Jianmin Wang;Michael I. Jordan

  • Transfer Joint Matching for Unsupervised Domain Adaptation

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun

  • Deep Hashing Network for efficient similarity retrieval

    Han Zhu;Mingsheng Long;Jianmin Wang;Yue Cao

  • Adaptation Regularization: A General Framework for Transfer Learning

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Sinno Jialin Pan

  • PredRNN: recurrent neural networks for predictive learning using spatiotemporal LSTMs

    Yunbo Wang;Mingsheng Long;Jianmin Wang;Zhifeng Gao

  • Transferable Representation Learning with Deep Adaptation Networks

    Mingsheng Long;Yue Cao;Zhangjie Cao;Jianmin Wang

  • Semantics-preserving hashing for cross-view retrieval

    Zijia Lin;Guiguang Ding;Mingqing Hu;Jianmin Wang

  • Universal Domain Adaptation

    Kaichao You;Mingsheng Long;Zhangjie Cao;Jianmin Wang

  • Mining process models with non-free-choice constructs

    Lijie Wen;Wil M. Aalst;Jianmin Wang;Jiaguang Sun

  • Transfer Learning with Graph Co-Regularization

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Dou Shen

  • Deep Cauchy Hashing for Hamming Space Retrieval

    Yue Cao;Mingsheng Long;Bin Liu;Jianmin Wang

  • Deep Visual-Semantic Quantization for Efficient Image Retrieval

    Yue Cao;Mingsheng Long;Jianmin Wang;Shichen Liu

  • Transferable Attention for Domain Adaptation

    Ximei Wang;Liang Li;Weirui Ye;Mingsheng Long

  • Deep Visual-Semantic Hashing for Cross-Modal Retrieval

    Yue Cao;Mingsheng Long;Jianmin Wang;Qiang Yang

  • Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

    Hong Liu;Zhangjie Cao;Mingsheng Long;Jianmin Wang

  • Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation

    Xinyang Chen;Sinan Wang;Mingsheng Long;Jianmin Wang

  • A novel approach for process mining based on event types

    Lijie Wen;Jianmin Wang;Wil M. Aalst;Biqing Huang

  • Deep Quantization Network for efficient image retrieval

    Yue Cao;Mingsheng Long;Jianmin Wang;Han Zhu

Frequent Co-Authors

Mingsheng Long
Mingsheng Long Tsinghua University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Guiguang Ding
Guiguang Ding Tsinghua University
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Lin Liu
Lin Liu Chinese Academy of Sciences
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Marcello La Rosa
Marcello La Rosa University of Melbourne
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Akhil Kumar
Akhil Kumar Pennsylvania State University

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