World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5943
World Ranking
10257
National Ranking
131

Zhiqi Shen 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 Zhiqi Shen 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Zhiqi Shen 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 Zhiqi Shen 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Zhiqi Shen is affiliated with Nanyang Technological University in Singapore and specializes in computer science with a focus on artificial intelligence. Their research spans multiple subfields including artificial intelligence, information systems, computer vision and pattern recognition, biomedical engineering, and transportation.

The scientist's work covers a variety of topics, among which are:

  • Recommender Systems and Techniques
  • Privacy-Preserving Technologies in Data
  • Advanced Graph Neural Networks
  • Human Mobility and Location-Based Analysis
  • Topic Modeling
  • Machine Learning and Data Classification
  • Time Series Analysis and Forecasting

Zhiqi Shen has published extensively, with recent papers including:

  • "Next POI Recommendation with Dynamic Graph and Explicit Dependency," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "FOCUS: Dealing with Label Quality Disparity in Federated Learning," 2020, arXiv (Cornell University)
  • "Research on mine vehicle tracking and detection technology based on YOLOv5," 2022, Systems Science & Control Engineering
  • "Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation," 2023, IEEE Transactions on Emerging Topics in Computational Intelligence
  • "MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series," 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include Lizhen Cui, Zhiwei Zeng, Yong Liu, Yonghui Xu, and Chunyan Miao.

Publications from Zhiqi Shen commonly appear in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Crowd Science
  • Frontiers in Medicine
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Best Publications

  • Balanced Distribution Adaptation for Transfer Learning

    Jindong Wang;Yiqiang Chen;Shuji Hao;Wenjie Feng

  • A Survey of Trust and Reputation Management Systems in Wireless Communications

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung

  • Blockchain and IoT based Food Traceability for Smart Agriculture

    Jun Lin;Zhiqi Shen;Anting Zhang;Yueting Chai

  • A Survey of Multi-Agent Trust Management Systems

    Han Yu;Zhiqi Shen;Cyril Leung;Chunyan Miao

  • Building ethics into artificial intelligence

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung;Cyril Leung

  • Cross-people mobile-phone based activity recognition

    Zhongtang Zhao;Yiqiang Chen;Junfa Liu;Zhiqi Shen

  • Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings

    Haoming Zhong;Chunyan Miao;Zhiqi Shen;Yuhong Feng

  • Towards a trust aware cognitive radio architecture

    Tao Qin;Han Yu;Cyril Leung;Zhiqi Shen

  • Using Blockchain Technology to Build Trust in Sharing LoRaWAN IoT

    Jun Lin;Zhiqi Shen;Chunyan Miao

  • Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series

    Hengjie Song;Chunyan Miao;W. Roel;Zhiqi Shen

  • Using blockchain to build trusted LoRaWAN sharing server

    Jun Lin;Zhiqi Shen;Chunyan Miao;Siyuan Liu

  • An Extension to Fuzzy Cognitive Maps for Classification and Prediction

    H J Song;C Y Miao;R Wuyts;Z Q Shen

  • Transformation of Cognitive Maps

    Yuan Miao;ChunYan Miao;XueHong Tao;ZhiQi Shen

  • Challenges and Opportunities for Trust Management in Crowdsourcing

    Han Yu;Zhiqi Shen;Chunyan Miao;Bo An

  • Balancing quality and budget considerations in mobile crowdsourcing

    Chunyan Miao;Han Yu;Zhiqi Shen;Cyril Leung

  • From Internet of Things to Internet of Agents

    Han Yu;Zhiqi Shen;Cyril Leung

  • Video-based human heart rate measurement using joint blind source separation

    Huan Qi;Zhenyu Guo;Xun Chen;Zhiqi Shen

  • On improving the conditioning of extreme learning machine: A linear case

    Guopeng Zhao;Zhiqi Shen;Chunyan Miao;Zhihong Man

  • KEMNAD: A Knowledge Engineering Methodology For Negotiating Agent Development

    Xudong Luo;Chunyan Miao;Nicholas R. Jennings;Minghua He

  • Goal oriented modeling for intelligent software agents

    Zhiqi Shen;Chunyan Miao;Xuehong Tao

  • FOCUS: Dealing with Label Quality Disparity in Federated Learning

    Yiqiang Chen;Xiaodong Yang;Xin Qin;Han Yu

Frequent Co-Authors

Chunyan Miao
Chunyan Miao Nanyang Technological University
Han Yu
Han Yu Nanyang Technological University
Cyril Leung
Cyril Leung University of British Columbia
Jun Lin
Jun Lin Chinese Academy of Sciences
Yiqiang Chen
Yiqiang Chen Chinese Academy of Sciences
Bo An
Bo An Nanyang Technological University
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Martin J. McKeown
Martin J. McKeown University of British Columbia

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