World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
12440
World Ranking
8613
National Ranking
1122

Hengshu Zhu 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 Hengshu Zhu 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Hengshu Zhu 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 Hengshu Zhu 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Hengshu Zhu is affiliated with the Hong Kong University of Science and Technology in China and has a research focus centered primarily in the field of Computer Science. Within this broad area, their work spans several specialized subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Organizational Behavior and Human Resource Management, and Transportation.

Their research topics reflect a concentration on several advanced domains:

  • Recommender Systems and Techniques
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Human Mobility and Location-Based Analysis
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning

Hengshu Zhu has contributed to a significant number of recent publications. Notable papers include:

  • "A Comprehensive Survey on Transfer Learning" (2020) published in Proceedings of the IEEE
  • "A Survey on Knowledge Graph-Based Recommender Systems" (2020) published in IEEE Transactions on Knowledge and Data Engineering
  • "A survey on large language models for recommendation" (2024) published in World Wide Web
  • "Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment" (2020) published in ACM Transactions on Information Systems

The venues where Hengshu Zhu frequently publishes reinforce their research focus and include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Management Information Systems

In collaboration, Hengshu Zhu works with several coauthors across multiple projects. Frequent collaborators include Hui Xiong, Chuan Qin, Enhong Chen, Fuzhen Zhuang, and Dazhong Shen.

Best Publications

  • A Comprehensive Survey on Transfer Learning

    Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

  • A Survey on Knowledge Graph-Based Recommender Systems

    Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

    Huayu Li;Yong Ge;Richang Hong;Hengshu Zhu

  • A cost-effective recommender system for taxi drivers

    Meng Qu;Hengshu Zhu;Junming Liu;Guannan Liu

  • Mobile app recommendations with security and privacy awareness

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • Mining Mobile User Preferences for Personalized Context-Aware Recommendation

    Hengshu Zhu;Enhong Chen;Hui Xiong;Kuifei Yu

  • Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    Zhao Zhang;Fuzhen Zhuang;Hengshu Zhu;Zhiping Shi

  • Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

    Chuan Qin;Hengshu Zhu;Tong Xu;Chen Zhu

  • Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning

    Chen Zhu;Hengshu Zhu;Hui Xiong;Chao Ma

  • Discovery of Ranking Fraud for Mobile Apps

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment

    Chuan Qin;Hengshu Zhu;Tong Xu;Chen Zhu

  • Mobile App Classification with Enriched Contextual Information

    Hengshu Zhu;Enhong Chen;Hui Xiong;Huanhuan Cao

  • Mining Personal Context-Aware Preferences for Mobile Users

    Hengshu Zhu;Enhong Chen;Kuifei Yu;Huanhuan Cao

  • Ranking user authority with relevant knowledge categories for expert finding

    Hengshu Zhu;Enhong Chen;Hui Xiong;Huanhuan Cao

  • Towards personalized context-aware recommendation by mining context logs through topic models

    Kuifei Yu;Baoxian Zhang;Hengshu Zhu;Huanhuan Cao

  • Prospecting the Career Development of Talents: A Survival Analysis Perspective

    Huayu Li;Yong Ge;Hengshu Zhu;Hui Xiong

  • A Survey on Large Language Models for Recommendation

    Unknown

  • Exploiting enriched contextual information for mobile app classification

    Hengshu Zhu;Huanhuan Cao;Enhong Chen;Hui Xiong

  • Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

    Jindong Han;Hao Liu;Hengshu Zhu;Hui Xiong

  • Talent Circle Detection in Job Transition Networks

    Huang Xu;Zhiwen Yu;Jingyuan Yang;Hui Xiong

  • Point-of-Interest Demand Modeling with Human Mobility Patterns

    Yanchi Liu;Chuanren Liu;Xinjiang Lu;Mingfei Teng

  • Recruitment Market Trend Analysis with Sequential Latent Variable Models

    Chen Zhu;Hengshu Zhu;Hui Xiong;Pengliang Ding

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Enhong Chen
Enhong Chen University of Science and Technology of China
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Qing He
Qing He University of Chinese Academy of Sciences
Yong Ge
Yong Ge University of Arizona
Qi Liu
Qi Liu University of Science and Technology of China
Hao Lin
Hao Lin University of Electronic Science and Technology of China
Junjie Wu
Junjie Wu Beihang University
Dejing Dou
Dejing Dou University of Oregon
Bin Guo
Bin Guo Northwestern Polytechnical University

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