World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
37646
World Ranking
711
National Ranking
106

Zibin 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 Zibin 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: 558 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Zibin 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 Zibin 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Zibin Zheng is affiliated with Sun Yat-sen University in China and specializes in the field of Computer Science. Their research output covers a range of topics mainly focused on blockchain technology, artificial intelligence, and information systems.

The main fields of study in which they have published include:

  • Computer Science

The subfields of study within their work feature:

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Software
  • Signal Processing

Zheng has contributed to multiple topics in their research, with emphasis on:

  • Blockchain Technology Applications and Security
  • Advanced Graph Neural Networks
  • Software Engineering Research
  • Privacy-Preserving Technologies in Data
  • Recommender Systems and Techniques
  • Topic Modeling
  • IoT and Edge/Fog Computing

Their recent notable papers include:

  • Solutions to Scalability of Blockchain: A Survey, 2020, IEEE Access
  • A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus, 2020, IEEE Network
  • Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey, 2021, IEEE Communications Surveys & Tutorials
  • Phishing Scams Detection in Ethereum Transaction Network, 2020, ACM Transactions on Internet Technology

Zibin Zheng has frequently published in the following venues:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Proceedings of the ACM on Software Engineering
  • Knowledge-Based Systems
  • IEEE Access

Their collaboration network includes frequent co-authors such as:

  • Chuan Chen
  • Jiachi Chen
  • Jiajing Wu
  • Jintang Li
  • Huawei Huang

Zheng has contributed to book publications as well, including a title published by Springer Science+Business Media:

  • Blockchain and Trustworthy Systems, 2020

Best Publications

  • An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends

    Zibin Zheng;Shaoan Xie;Hongning Dai;Xiangping Chen

  • Blockchain challenges and opportunities: a survey

    Zibin Zheng;Shaoan Xie;Hong Ning Dai;Xiangping Chen

  • Blockchain for Internet of Things: A Survey

    Hong-Ning Dai;Zibin Zheng;Yan Zhang

  • Blockchain challenges and opportunities: a survey

    Unknown

  • An overview on smart contracts : Challenges, advances and platforms

    Zibin Zheng;Shaoan Xie;Hong Ning Dai;Weili Chen

  • QoS-Aware Web Service Recommendation by Collaborative Filtering

    Zibin Zheng;Hao Ma;M R Lyu;I King

  • Drain: An Online Log Parsing Approach with Fixed Depth Tree

    Pinjia He;Jieming Zhu;Zibin Zheng;Michael R. Lyu

  • Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

    Zibin Zheng;Yatao Yang;Xiangdong Niu;Hong-Ning Dai

  • WSRec: A Collaborative Filtering Based Web Service Recommender System

    Zibin Zheng;Hao Ma;Michael R. Lyu;Irwin King

  • Solutions to Scalability of Blockchain: a Survey

    Qiheng Zhou;Huawei Huang;Zibin Zheng;Jing Bian

  • A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus

    Yuzheng Li;Chuan Chen;Nan Liu;Huawei Huang

  • Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization

    Zibin Zheng;Hao Ma;M. R. Lyu;Irwin King

  • Tools and benchmarks for automated log parsing

    Jieming Zhu;Shilin He;Jinyang Liu;Pinjia He

  • Investigating QoS of Real-World Web Services

    Zibin Zheng;Yilei Zhang;Michael R. Lyu

  • Distributed QoS Evaluation for Real-World Web Services

    Zibin Zheng;Yilei Zhang;Michael R. Lyu

  • QoS Ranking Prediction for Cloud Services

    Zibin Zheng;Xinmiao Wu;Yilei Zhang;Michael R. Lyu

  • Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology

    Weili Chen;Zibin Zheng;Jiahui Cui;Edith Ngai

  • Learning Semantic Representations for Unsupervised Domain Adaptation

    Shaoan Xie;Zibin Zheng;Liang Chen;Chuan Chen

  • Collaborative reliability prediction of service-oriented systems

    Zibin Zheng;Michael R. Lyu

  • Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding

    Jiajing Wu;Qi Yuan;Dan Lin;Wei You

  • WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services

    Yilei Zhang;Zibin Zheng;Michael R. Lyu

  • Service-Generated Big Data and Big Data-as-a-Service: An Overview

    Zibin Zheng;Jieming Zhu;Michael R. Lyu

  • QoS-Aware Web Service Recommendation via Collaborative Filtering

    Xi Chen;Zibin Zheng;Michael R. Lyu

Frequent Co-Authors

Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Hong-Ning Dai
Hong-Ning Dai Hong Kong Baptist University
Yuren Zhou
Yuren Zhou Sun Yat-sen University
Huawei Huang
Huawei Huang Sun Yat-sen University
Fangchun Yang
Fangchun Yang Beijing University of Posts and Telecommunications
Shangguang Wang
Shangguang Wang Beijing University of Posts and Telecommunications
Song Guo
Song Guo Hong Kong University of Science and Technology
Mingdong Tang
Mingdong Tang Guangdong University of Foreign Studies
Xiangnan He
Xiangnan He University of Science and Technology of China
Jianxun Liu
Jianxun Liu Hunan University of Science and Technology

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