World's Best Scientists 2026 revealed!
Zhendong Su

Zhendong Su

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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
17397
World Ranking
2326
National Ranking
54

Zhendong Su 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 Zhendong Su 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Zhendong Su 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 Zhendong Su 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Zhendong Su is affiliated with ETH Zurich in Switzerland and specializes in computer science with a significant focus on software and information systems. Their research encompasses various subfields including software engineering, signal processing, artificial intelligence, and computer networks and communications.

The primary topics addressed in their work relate to software testing and debugging techniques, software engineering research, advanced malware detection techniques, and software reliability and analysis. Additional areas include parallel computing and optimization techniques, advanced database systems and queries, and software system performance and reliability.

Notable recent publications by Zhendong Su include:

  • Finding bugs in database systems via query partitioning, 2020, Proceedings of the ACM on Programming Languages
  • Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs, 2021, Proceedings of the ACM on Programming Languages
  • Why My App Crashes? Understanding and Benchmarking Framework-Specific Exceptions of Android Apps, 2020, IEEE Transactions on Software Engineering
  • On the unusual effectiveness of type-aware operator mutations for testing SMT solvers, 2020, Proceedings of the ACM on Programming Languages
  • Testing Database Engines via Pivoted Query Synthesis, 2020, arXiv (Cornell University)

Frequent collaborators in their research include Manuel Rigger, Ting Su, Geguang Pu, Chengyu Zhang, and Shengcheng Yu.

Zhendong Su has contributed extensively to several publication venues, with a high number of papers in the Proceedings of the ACM on Programming Languages and arXiv (Cornell University). Other frequent venues include Zenodo, IEEE Transactions on Software Engineering, and ACM Transactions on Software Engineering and Methodology.

Best Publications

  • DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones

    Lingxiao Jiang;Ghassan Misherghi;Zhendong Su;Stephane Glondu

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

  • The essence of command injection attacks in web applications

    Zhendong Su;Gary Wassermann

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

  • FIREMAN: a toolkit for firewall modeling and analysis

    Lihua Yuan;Hao Chen;Jianning Mai;Chen-Nee Chuah

  • Sound and precise analysis of web applications for injection vulnerabilities

    Gary Wassermann;Zhendong Su

  • Static detection of cross-site scripting vulnerabilities

    Gary Wassermann;Zhendong Su

  • Scalable detection of semantic clones

    Mark Gabel;Lingxiao Jiang;Zhendong Su

  • Compiler validation via equivalence modulo inputs

    Vu Le;Mehrdad Afshari;Zhendong Su

  • Guided, stochastic model-based GUI testing of Android apps

    Ting Su;Guozhu Meng;Yuting Chen;Ke Wu

  • On the localness of software

    Zhaopeng Tu;Zhendong Su;Premkumar Devanbu

  • HDD: hierarchical delta debugging

    Ghassan Misherghi;Zhendong Su

  • Partial online cycle elimination in inclusion constraint graphs

    Manuel Fähndrich;Jeffrey S. Foster;Zhendong Su;Alexander Aiken

  • Context-based detection of clone-related bugs

    Lingxiao Jiang;Zhendong Su;Edwin Chiu

  • Static checking of dynamically generated queries in database applications

    Carl Gould;Zhendong Su;Premkumar Devanbu

  • On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits

    Jedidiah R. Crandall;Zhendong Su;S. Felix Wu;Frederic T. Chong

  • Detecting code clones in binary executables

    Andreas Sæbjørnsen;Jeremiah Willcock;Thomas Panas;Daniel Quinlan

  • Dynamic test input generation for web applications

    Gary Wassermann;Dachuan Yu;Ajay Chander;Dinakar Dhurjati

  • Javert: fully automatic mining of general temporal properties from dynamic traces

    Mark Gabel;Zhendong Su

  • Automatic mining of functionally equivalent code fragments via random testing

    Lingxiao Jiang;Zhendong Su

Frequent Co-Authors

Earl T. Barr
Earl T. Barr University College London
Lingxiao Jiang
Lingxiao Jiang Singapore Management University
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Manuel Fähndrich
Manuel Fähndrich Google (United States)
Alex Aiken
Alex Aiken Stanford University
Hao Chen
Hao Chen University of California, Davis
Frederic T. Chong
Frederic T. Chong University of Chicago
Rishabh Singh
Rishabh Singh Google (United States)
Guoqing Xu
Guoqing Xu University of California, Los Angeles
Doron Peled
Doron Peled Bar-Ilan University

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