World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
30102
World Ranking
1461
National Ranking
198

Kai Zheng 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 Kai Zheng 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: 485 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Kai Zheng 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 Kai Zheng 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Kai Zheng is affiliated with the University of Electronic Science and Technology of China. Their research spans multiple fields within computer science and engineering, with a focus on topics related to data management, artificial intelligence, and network communications.

Their research contributions cover several main fields of study:

  • Computer Science
  • Engineering

Within these broader areas, their work addresses specific subfields including:

  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Transportation

Key research topics covered in their publications include:

  • Recommender Systems and Techniques
  • Human Mobility and Location-Based Analysis
  • Mobile Crowdsensing and Crowdsourcing
  • Advanced Graph Neural Networks
  • Caching and Content Delivery
  • Data Management and Algorithms
  • Traffic Prediction and Management Techniques

Kai Zheng has coauthored extensively with several frequent collaborators, including:

  • Yan Zhao
  • Hongzhi Yin
  • Xiaofang Zhou
  • Christian S. Jensen
  • Bin Yang

Their work has been published in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • World Wide Web
  • Proceedings of the VLDB Endowment

Notable recent publications by Kai Zheng include:

  • "When large language models meet personalization: perspectives of challenges and opportunities" (2024), published in World Wide Web
  • "WizardLM: Empowering large pre-trained language models to follow complex instructions" (2023), published in arXiv (Cornell University)
  • "Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation" (2021), published in ACM Transactions on Information Systems
  • "ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences" (2022), published in ACM Transactions on Information Systems
  • "Overcoming Data Sparsity in Group Recommendation" (2020), published in IEEE Transactions on Knowledge and Data Engineering

Across these publications, the citations reflect engagement within the academic community, with some works receiving close to or over one hundred citations.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

    Judith Borghouts;Elizabeth Eikey;Gloria Mark;Cinthia De Leon

  • Supporting information retrieval from electronic health records

    David A. Hanauer;Qiaozhu Mei;James Law;Ritu Khanna

  • Discovering Urban Functional ZonesUsing Latent Activity Trajectories

    Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang

  • Public Awareness, Perception, and Use of Online Physician Rating Sites

    David A. Hanauer;Kai Zheng;Dianne C. Singer;Achamyeleh Gebremariam

  • Online Discovery of Gathering Patterns over Trajectories

    Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

  • Home-based technologies for stroke rehabilitation: A systematic review.

    Yu Chen;Kingsley Travis Abel;John T. Janecek;Yunan Chen

  • Reducing Uncertainty of Low-Sampling-Rate Trajectories

    Kai Zheng;Yu Zheng;Xing Xie;Xiaofang Zhou

  • On discovery of gathering patterns from trajectories

    Kai Zheng;Yu Zheng;N. J. Yuan;Shuo Shang

  • Adapting to User Interest Drift for POI Recommendation

    Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

  • LC-RNN: A deep learning model for traffic speed prediction

    Zhongjian Lv;Jiajie Xu;Jiajie Xu;Kai Zheng;Hongzhi Yin

  • Multi-modal Knowledge Graphs for Recommender Systems

    Rui Sun;Xuezhi Cao;Yan Zhao;Junchen Wan

  • Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research

    Kai Zheng;Michael H Guo;David A Hanauer

  • Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

    Yuandong Wang;Hongzhi Yin;Hongxu Chen;Tianyu Wo

  • GreenDCN: A General Framework for Achieving Energy Efficiency in Data Center Networks

    Lin Wang;Fa Zhang;Jordi Arjona Aroca;Athanasios V. Vasilakos

  • Towards efficient search for activity trajectories

    Kai Zheng;Shuo Shang;N. J. Yuan;Yi Yang

  • Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective

    Kai Zheng;Hilary M Haftel;Ronald B Hirschl;Michael O'Reilly

  • Social Influence-Based Group Representation Learning for Group Recommendation

    Hongzhi Yin;Qinyong Wang;Kai Zheng;Zhixu Li

  • User oriented trajectory search for trip recommendation

    Shuo Shang;Ruogu Ding;Bo Yuan;Kexin Xie

  • Short text understanding through lexical-semantic analysis

    Wen Hua;Zhongyuan Wang;Haixun Wang;Kai Zheng

  • A survey of trajectory distance measures and performance evaluation

    Han Su;Shuncheng Liu;Bolong Zheng;Xiaofang Zhou;Xiaofang Zhou

  • Understanding technology adoption in clinical care: Clinician adoption behavior of a point-of-care reminder system

    Kai Zheng;Rema Padman;Michael P. Johnson;Herbert S. Diamond

Frequent Co-Authors

Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Aldo R. Boccaccini
Aldo R. Boccaccini University of Erlangen-Nuremberg
Guanfeng Liu
Guanfeng Liu Macquarie University
An Liu
An Liu Soochow University
Qiaozhu Mei
Qiaozhu Mei University of Michigan–Ann Arbor
Michael P. Johnson
Michael P. Johnson Pennsylvania State University
Hongzhi Yin
Hongzhi Yin University of Queensland
Defu Lian
Defu Lian University of Science and Technology of China
Shazia Sadiq
Shazia Sadiq University of Queensland
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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