World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4245
World Ranking
12267
National Ranking
4970

Gang Tan 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 Gang Tan 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Gang Tan 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 Gang Tan 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Gang Tan is affiliated with Pennsylvania State University in the United States. Their primary field of study is Computer Science, with a focus spanning several subfields including Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's research covers a variety of topics, emphasizing aspects of security, privacy, and machine learning. Key topics addressed in their work include:

  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • IoT and Edge/Fog Computing
  • Cloud Data Security Solutions
  • Parallel Computing and Optimization Techniques

Gang Tan has contributed to an array of recent publications, publishing in journals and conferences with a security and engineering emphasis. Notable papers include:

  • "The mechanisms of NLRP3 inflammasome/pyroptosis activation and their role in diabetic retinopathy," 2023, Frontiers in Immunology
  • "Privacy preserving based logistic regression on big data," 2020, Journal of Network and Computer Applications
  • "Fairness-aware configuration of machine learning libraries," 2022, Proceedings of the 44th International Conference on Software Engineering
  • "Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model," 2020, Energy and Buildings
  • "PPMCK: Privacy-preserving multi-party computing for K-means clustering," 2021, Journal of Parallel and Distributed Computing

The researcher frequently publishes in venues including:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • IEEE Transactions on Dependable and Secure Computing
  • Annual Computer Security Applications Conference
  • Ocean Engineering

Gang Tan collaborates regularly with multiple co-authors who contribute to their research projects. Prominent collaborators include:

  • Dongrui Zeng
  • Siqi Ma
  • Yongkai Fan
  • Saeid Tizpaz-Niari
  • Patrick McDaniel

Best Publications

  • Modular control-flow integrity

    Ben Niu;Gang Tan

  • IoTGuard: Dynamic Enforcement of Security and Safety Policy in Commodity IoT.

    Z. Berkay Celik;Gang Tan;Patrick D. McDaniel

  • Per-Input Control-Flow Integrity

    Ben Niu;Gang Tan

  • RockSalt: better, faster, stronger SFI for the x86

    Greg Morrisett;Gang Tan;Joseph Tassarotti;Jean-Baptiste Tristan

  • Soteria: Automated IoT Safety and Security Analysis

    Z. Berkay Celik;Patrick D. McDaniel;Gang Tan

  • Sensitive Information Tracking in Commodity IoT

    Z. Berkay Celik;Leonardo Babun;Amit Kumar Sikder;Hidayet Aksu

  • RockJIT: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity

    Ben Niu;Gang Tan

  • Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

    Z. Berkay Celik;Earlence Fernandes;Eric Pauley;Gang Tan

  • Combining control-flow integrity and static analysis for efficient and validated data sandboxing

    Bin Zeng;Gang Tan;Greg Morrisett

  • NativeGuard: protecting android applications from third-party native libraries

    Mengtao Sun;Gang Tan

  • Dynamic Typing with Dependent Types

    Xinming Ou;Gang Tan;Yitzhak Mandelbaum;David Walker

  • Methods for enforcing control flow of a computer program

    Gang Tan;Ben Niu

  • Detection of Repackaged Android Malware with Code-Heterogeneity Features

    Ke Tian;Danfeng Yao;Barbara G. Ryder;Gang Tan

  • Monitor integrity protection with space efficiency and separate compilation

    Ben Niu;Gang Tan

  • Smartphone Dual Defense Protection Framework: Detecting Malicious Applications in Android Markets

    X. Su;M. Chuah;G. Tan

  • An empirical security study of the native code in the JDK

    Gang Tan;Jason Croft

  • Robusta: taming the native beast of the JVM

    Joseph Siefers;Gang Tan;Greg Morrisett

  • Detection and classification of different botnet C&C channels

    Gregory Fedynyshyn;Mooi Choo Chuah;Gang Tan

  • Finding bugs in exceptional situations of JNI programs

    Siliang Li;Gang Tan

  • One secure data integrity verification scheme for cloud storage

    Yongkai Fan;Xiaodong Lin;Gang Tan;Yuqing Zhang

  • CaSym: Cache Aware Symbolic Execution for Side Channel Detection and Mitigation

    Robert Brotzman;Shen Liu;Danfeng Zhang;Gang Tan

Frequent Co-Authors

Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Trent Jaeger
Trent Jaeger Pennsylvania State University
Greg Morrisett
Greg Morrisett Cornell University
Andrew W. Appel
Andrew W. Appel Princeton University
Jens Grossklags
Jens Grossklags Technical University of Munich
Danfeng Yao
Danfeng Yao Virginia Tech
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Claudia Eckert
Claudia Eckert The Open University
Barbara G. Ryder
Barbara G. Ryder Virginia Tech
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University

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