World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7975
World Ranking
6238
National Ranking
830

Shouling Ji 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 Shouling Ji 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: 379 publications — 85th percentile

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

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

Shouling Ji 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 Shouling Ji 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Shouling Ji is affiliated with Zhejiang University in China and has a research focus primarily within the field of Computer Science. Their work extensively covers subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing, and Computer Networks and Communications.

The main topics addressed in Ji's research include:

  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Security and Verification in Computing
  • Topic Modeling

Ji has contributed to numerous peer-reviewed papers. Some recent publications are:

  • Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Improved functionality of Ligilactobacillus salivarius Li01 in alleviating colonic inflammation by layer-by-layer microencapsulation, 2021, npj Biofilms and Microbiomes
  • Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art, 2023, Computers & Security
  • Deep Graph Matching and Searching for Semantic Code Retrieval, 2021, ACM Transactions on Knowledge Discovery from Data
  • AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy, 2020, IEEE Transactions on Information Forensics and Security

Frequent co-authors collaborating with Ji include:

  • Xuhong Zhang
  • Ting Wang
  • Yuwen Pu
  • Raheem Beyah
  • Lingfei Wu

Ji's publications are commonly found in various academic venues, with a notable number appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Information Forensics and Security
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Internet of Things Journal

Best Publications

  • TextBugger: Generating Adversarial Text Against Real-world Applications

    Jinfeng Li;Shouling Ji;Tianyu Du;Bo Li

  • Dual Encoding for Zero-Example Video Retrieval

    Jianfeng Dong;Xirong Li;Chaoxi Xu;Shouling Ji

  • Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

    Mingqi Lv;Zhaoxiong Hong;Ling Chen;Tieming Chen

  • Model-Reuse Attacks on Deep Learning Systems

    Yujie Ji;Xinyang Zhang;Shouling Ji;Xiapu Luo

  • Privacy Risks of General-Purpose Language Models

    Xudong Pan;Mi Zhang;Shouling Ji;Min Yang

  • Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey

    Shouling Ji;Prateek Mittal;Raheem A. Beyah

  • DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

    Xiang Ling;Shouling Ji;Jiaxu Zou;Jiannan Wang

  • Deep Dual Consecutive Network for Human Pose Estimation

    Zhenguang Liu;Haoming Chen;Runyang Feng;Shuang Wu

  • CertChain: Public and Efficient Certificate Audit Based on Blockchain for TLS Connections

    Jing Chen;Shixiong Yao;Quan Yuan;Kun He

  • SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

    Tianyu Du;Shouling Ji;Jinfeng Li;Qinchen Gu

  • Structural Data De-anonymization: Quantification, Practice, and Implications

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Raheem Beyah

  • {MOPT}: Optimized Mutation Scheduling for Fuzzers

    Chenyang Lyu;Shouling Ji;Chao Zhang;Yuwei Li

  • SecGraph: a uniform and open-source evaluation system for graph data anonymization and de-anonymization

    Shouling Ji;Weiqing Li;Prateek Mittal;Xin Hu

  • Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

    Unknown

  • Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

    Unknown

  • Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

    Zhenguang Liu;Peng Qian;Xiang Wang;Lei Zhu

  • A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models

    Ren Pang;Hua Shen;Xinyang Zhang;Shouling Ji

  • VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities

    Xu Duan;Xu Duan;Jingzheng Wu;Shouling Ji;Zhiqing Rui

  • On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge.

    Shouling Ji;Weiqing Li;Neil Zhenqiang Gong;Prateek Mittal

  • Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

    Unknown

  • Trojaning Language Models for Fun and Profit

    Xinyang Zhang;Zheng Zhang;Shouling Ji;Ting Wang

  • Interpretable Deep Learning under Fire

    Xinyang Zhang;Ningfei Wang;Hua Shen;Shouling Ji

  • Deep Graph Matching and Searching for Semantic Code Retrieval

    Xiang Ling;Lingfei Wu;Saizhuo Wang;Gaoning Pan

  • Backdoor Pre-trained Models Can Transfer to All

    Lujia Shen;Shouling Ji;Xuhong Zhang;Jinfeng Li

  • Graph Backdoor.

    Zhaohan Xi;Ren Pang;Shouling Ji;Ting Wang

Frequent Co-Authors

Raheem Beyah
Raheem Beyah Georgia Institute of Technology
Ting Wang
Ting Wang Washington University in St. Louis
Zhipeng Cai
Zhipeng Cai Georgia State University
Yingshu Li
Yingshu Li Georgia State University
Prateek Mittal
Prateek Mittal Princeton University
Yi Pan
Yi Pan Shenzhen Institutes of Advanced Technology
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Xun Wang
Xun Wang Tsinghua University
Peng Cheng
Peng Cheng Zhejiang University

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Related Online Degrees & Career Pathways

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Finally, students aiming to blend computing with electronics might find excellent opportunities by following an online electrical engineering career outcomes route. This discipline remains crucial for developing new hardware, IoT solutions, and energy systems.

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