World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7694
World Ranking
8360
National Ranking
1089

Sheng Zhong 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 Sheng Zhong 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Sheng Zhong 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 Sheng Zhong 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Sheng Zhong is affiliated with Nanjing University in China and has a significant body of research primarily in the field of Computer Science, with 136 publications. Their research spans various subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing, and Electrical and Electronic Engineering.

Their work covers key topics such as:

  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Cryptography and Data Security
  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Cloud Data Security Solutions

Sheng Zhong has contributed to a range of papers, some recent examples include:

  • "VTR 8" (2020), published in ACM Transactions on Reconfigurable Technology and Systems
  • "A Hybrid Deep Network Framework for Android Malware Detection" (2021), published in IEEE Transactions on Knowledge and Data Engineering
  • "Flow Misleading: Worm-Hole Attack in Software-Defined Networking via Building In-Band Covert Channel" (2020), published in IEEE Transactions on Information Forensics and Security
  • "Privacy-Preserving Data Integrity Verification for Secure Mobile Edge Storage" (2022), published in IEEE Transactions on Mobile Computing
  • "Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training" (2020), published in IEEE Transactions on Parallel and Distributed Systems

Their frequent co-authors include Yunlong Mao, Jingyu Hua, Fengyuan Xu, Yuan Zhang, and Wei Tong, indicating ongoing collaborative research efforts.

Sheng Zhong's publications appear repeatedly in several notable venues:

  • IEEE Transactions on Information Forensics and Security (8 publications)
  • IEEE Transactions on Dependable and Secure Computing (8 publications)
  • arXiv (Cornell University) (8 publications)
  • IEEE Transactions on Mobile Computing (4 publications)
  • IEEE Transactions on Parallel and Distributed Systems (2 publications)

Best Publications

  • Sprite: a simple, cheat-proof, credit-based system for mobile ad-hoc networks

    S. Zhong;J. Chen;Y.R. Yang

  • A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability

    Zhuo Hao;Sheng Zhong;Nenghai Yu

  • On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques

    Sheng Zhong;Li (Erran) Li;Yanbin Grace Liu;Yang (Richard) Yang

  • Privacy-Preserving Classification of Customer Data without Loss of Accuracy.

    Zhiqiang Yang;Sheng Zhong;Rebecca N. Wright

  • Privacy-enhancing k-anonymization of customer data

    Sheng Zhong;Zhiqiang Yang;Rebecca N. Wright

  • Privacy-preserving queries on encrypted data

    Zhiqiang Yang;Sheng Zhong;Rebecca N. Wright

  • Body sensor network security: an identity-based cryptography approach

    Chiu C. Tan;Haodong Wang;Sheng Zhong;Qun Li

  • IBE-Lite: A Lightweight Identity-Based Cryptography for Body Sensor Networks

    C.C. Tan;Haodong Wang;Sheng Zhong;Qun Li

  • Optimistic Mixing for Exit-Polls

    Philippe Golle;Sheng Zhong;Dan Boneh;Markus Jakobsson

  • Privacy-Preserving Backpropagation Neural Network Learning

    Tingting Chen;Sheng Zhong

  • On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretic and cryptographic techniques

    Sheng Zhong;Li Erran Li;Yanbin Grace Liu;Yang Richard Yang

  • Stimulating Cooperation in Vehicular Ad Hoc Networks: A Coalitional Game Theoretic Approach

    Tingting Chen;Liehuang Zhu;Fan Wu;Sheng Zhong

  • Differentially private publication of general time-serial trajectory data

    Jingyu Hua;Yue Gao;Sheng Zhong

  • Privacy-preserving Kruskal-Wallis test

    Suxin Guo;Sheng Zhong;Aidong Zhang

  • Accurate and Efficient Wireless Device Fingerprinting Using Channel State Information

    Jingyu Hua;Hongyi Sun;Zhenyu Shen;Zhiyun Qian

  • Anonymity-preserving data collection

    Zhiqiang Yang;Sheng Zhong;Rebecca N. Wright

  • Instant and Robust Authentication and Key Agreement among Mobile Devices

    Wei Xi;Chen Qian;Jinsong Han;Kun Zhao

  • Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data

    Ankur Bansal;Tingting Chen;Sheng Zhong

  • Privacy-preserving algorithms for distributed mining of frequent itemsets

    Sheng Zhong

  • Privacy-Preserving Data Aggregation in Mobile Phone Sensing

    Yuan Zhang;Qingjun Chen;Sheng Zhong

  • Globally Optimal Channel Assignment for Non-Cooperative Wireless Networks

    Fan Wu;Sheng Zhong;Chunming Qiao

Frequent Co-Authors

Fan Wu
Fan Wu Shanghai Jiao Tong University
Qun Li
Qun Li William & Mary
Kun Wang
Kun Wang University of California, Los Angeles
Rebecca N. Wright
Rebecca N. Wright Barnard College
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Aidong Zhang
Aidong Zhang University of Virginia
Chen Qian
Chen Qian University of California, Santa Cruz
Joan Feigenbaum
Joan Feigenbaum Yale University
Li Erran Li
Li Erran Li Amazon (United States)
Nenghai Yu
Nenghai Yu University of Science and Technology of China

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