World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12786
World Ranking
6705
National Ranking
899

Yiqiang Chen 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 Yiqiang Chen 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Yiqiang Chen 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 Yiqiang Chen 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Yiqiang Chen is affiliated with the Chinese Academy of Sciences in China, contributing extensively to research in the field of computer science. Their work largely centers on artificial intelligence and its various subfields, including computer vision, biomedical engineering, and cognitive neuroscience.

The research topics covered by Yiqiang Chen span several key areas:

  • Domain Adaptation and Few-Shot Learning
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Context-Aware Activity Recognition Systems
  • Human Pose and Action Recognition
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications

Among their recent papers are the following publications:

  • "FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare," 2020, IEEE Intelligent Systems
  • "Generalizing to Unseen Domains: A Survey on Domain Generalization," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Generalizing to Unseen Domains: A Survey on Domain Generalization," 2021, arXiv (Cornell University)

Yiqiang Chen collaborates frequently with several co-authors, including:

  • Jindong Wang
  • Yingwei Zhang
  • Lu Wang
  • Xinlong Jiang
  • Xiaodong Yang

Their work is published in a variety of scientific venues, with a notable presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Intelligent Systems and Technology
  • IEEE Internet of Things Journal

Yiqiang Chen has also contributed to book literature with a publication under Springer Nature, titled Introduction to Transfer Learning, published in 2023.

Best Publications

  • Deep learning for sensor-based activity recognition: A survey

    Jindong Wang;Yiqiang Chen;Shuji Hao;Xiaohui Peng

  • FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

    Yiqiang Chen;Xin Qin;Jindong Wang;Chaohui Yu

  • Weighted extreme learning machine for imbalance learning

    Weiwei Zong;Guang-Bin Huang;Yiqiang Chen

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Visual Domain Adaptation with Manifold Embedded Distribution Alignment

    Jindong Wang;Wenjie Feng;Yiqiang Chen;Han Yu

  • Balanced Distribution Adaptation for Transfer Learning

    Jindong Wang;Yiqiang Chen;Shuji Hao;Wenjie Feng

  • Unobtrusive sleep monitoring using smartphones

    Zhenyu Chen;Mu Lin;Fanglin Chen;Nicholas D. Lane

  • Power-efficient access-point selection for indoor location estimation

    Yiqiang Chen;Qiang Yang;Jie Yin;Xiaoyong Chai

  • Transfer Learning with Dynamic Adversarial Adaptation Network

    Chaohui Yu;Jindong Wang;Yiqiang Chen;Meiyu Huang

  • Transfer Learning with Dynamic Distribution Adaptation

    Jindong Wang;Yiqiang Chen;Wenjie Feng;Han Yu

  • Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals

    Yuxin Zhang;Yiqiang Chen;Jindong Wang;Zhiwen Pan

  • Stratified Transfer Learning for Cross-domain Activity Recognition

    Jindong Wang;Yiqiang Chen;Lisha Hu;Xiaohui Peng

  • Cross-people mobile-phone based activity recognition

    Zhongtang Zhao;Yiqiang Chen;Junfa Liu;Zhiqi Shen

  • Easy Transfer Learning By Exploiting Intra-Domain Structures

    Jindong Wang;Yiqiang Chen;Han Yu;Meiyu Huang

  • Mitigating Herding in Hierarchical Crowdsourcing Networks.

    Han Yu;Chunyan Miao;Cyril Leung;Cyril Leung;Yiqiang Chen;Yiqiang Chen

  • A Chinese sign language recognition system based on SOFM/SRN/HMM

    Wen Gao;Gaolin Fang;Debin Zhao;Yiqiang Chen

  • Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing

    Jeffrey Junfeng Pan;J.T. Kwok;Qiang Yang;Yiqiang Chen

  • Building Sparse Multiple-Kernel SVM Classifiers

    Mingqing Hu;Yiqiang Chen;J.T.-Y. Kwok

  • Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

    Unknown

  • Deep Transfer Learning for Cross-domain Activity Recognition

    Jindong Wang;Vincent W. Zheng;Yiqiang Chen;Meiyu Huang

  • A calibration-free localization solution for handling signal strength variance

    Fangfang Dong;Yiqiang Chen;Junfa Liu;Qiong Ning

  • Transition movement models for large vocabulary continuous sign language recognition

    Wen Gao;Gaolin Fang;Debin Zhao;Yiqiang Chen

Frequent Co-Authors

Wen Gao
Wen Gao Peking University
Han Yu
Han Yu Nanyang Technological University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Min Chen
Min Chen South China University of Technology
Cyril Leung
Cyril Leung University of British Columbia
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Charles X. Ling
Charles X. Ling University of Western Ontario

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