World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
15370
World Ranking
2220
National Ranking
39

Jie Zhang 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 Jie Zhang 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: 362 publications — 83rd percentile

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

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

Jie Zhang 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 Jie Zhang 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Jie Zhang is a researcher affiliated with Nanyang Technological University in Singapore, specializing in computer science with a focus on information systems and artificial intelligence. Their work spans multiple subfields including computer vision and pattern recognition, management science and operations research, and electrical and electronic engineering.

The research contributions of Jie Zhang center predominantly on recommender systems and techniques, with significant involvement in advanced graph neural networks and advanced bandit algorithms research. Additional topics covered in their work include image and video quality assessment, mental health via writing, stochastic gradient optimization techniques, and topic modeling.

Their recent publications reflect a strong presence in both conference proceedings and journals related to artificial intelligence and information systems. Notable papers include:

  • An Attentional Recurrent Neural Network for Personalized Next Location Recommendation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SelfCF: A Simple Framework for Self-supervised Collaborative Filtering, 2023, ACM Transactions on Recommender Systems
  • A Critical Study on Data Leakage in Recommender System Offline Evaluation, 2022, ACM Transactions on Information Systems
  • A Social Network Based Approach to Personalized Recommendation of Participatory Media Content, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks, 2024, IEEE Transactions on Neural Networks and Learning Systems

Jie Zhang frequently publishes in venues such as arXiv, ACM Transactions on Information Systems, IEEE Transactions on Neural Networks and Learning Systems, Applied Sciences, and the Proceedings of the AAAI Conference on Artificial Intelligence.

Collaboration is evident in Jie Zhang's work, with recurring coauthors including Zhu Sun, Aixin Sun, Yew-Soon Ong, Xin Zhou, and Hui Fang, highlighting a network of active research partnerships within the fields of computer science and information systems.

Best Publications

  • TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions.

    Angira Sharma;Edward Elson Kosasih;Jie Zhang;Alexandra Brintrup

  • Collaborative Security: A Survey and Taxonomy

    Guozhu Meng;Yang Liu;Jie Zhang;Alexander Pokluda

  • Consistencies and contradictions of performance metrics in multiobjective optimization.

    Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng

  • Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

    Yang Bao;Bin Ke;Bin Li;Y. Julia Yu

  • Recurrent knowledge graph embedding for effective recommendation

    Zhu Sun;Jie Yang;Jie Zhang;Alessandro Bozzon

  • TopicMF: simultaneously exploiting ratings and reviews for recommendation

    Yang Bao;Hui Fang;Jie Zhang

  • Merging trust in collaborative filtering to alleviate data sparsity and cold start

    Guibing Guo;Jie Zhang;Daniel Thalmann

  • A Survey on Trust Management for VANETs

    Jie Zhang

  • Learning Improvement Heuristics for Solving Routing Problems..

    Yaoxin Wu;Wen Song;Zhiguang Cao;Jie Zhang

  • A novel Bayesian similarity measure for recommender systems

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

    Siwei Jiang;Jie Zhang;Yew-Soon Ong;Allan N. Zhang

  • Librec: a Java library for recommender systems

    Guibing Guo;Jie Zhang;Zhu Sun;Neil Yorke-Smith

  • Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

    Cong Zhang;Wen Song;Zhiguang Cao;Jie Zhang

  • A Reputation-Based Announcement Scheme for VANETs

    Qin Li;A. Malip;K. M. Martin;Siaw-Lynn Ng

  • A Novel Recommendation Model Regularized with User Trust and Item Ratings

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion

    Zhiguang Cao;Siwei Jiang;Jie Zhang;Hongliang Guo

  • Research commentary on recommendations with side information: A survey and research directions

    Zhu Sun;Qing Guo;Jie Yang;Hui Fang

  • Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach

    Jie Zhang;Robin Cohen

  • Uncovering collusive spammers in Chinese review websites

    Chang Xu;Jie Zhang;Kuiyu Chang;Chong Long

  • Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

    Cong Zhang;Wen Song;Zhiguang Cao;Jie Zhang

Frequent Co-Authors

Jishan Wu
Jishan Wu National University of Singapore
Robin Cohen
Robin Cohen University of Waterloo
Jingjing Chang
Jingjing Chang Xidian University
Julita Vassileva
Julita Vassileva University of Saskatchewan
Zhenhua Lin
Zhenhua Lin Xidian University
Ali A. Ghorbani
Ali A. Ghorbani University of New Brunswick
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Aung Ko Ko Kyaw
Aung Ko Ko Kyaw Southern University of Science and Technology
Raouf Boutaba
Raouf Boutaba University of Waterloo
Chunxiang Zhu
Chunxiang Zhu National University of Singapore

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