World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9098
World Ranking
5398
National Ranking
161

Zhenchang Xing 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 Zhenchang Xing 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: 234 publications — 58th percentile

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

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

Zhenchang Xing 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 Zhenchang Xing 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Zhenchang Xing is affiliated with the Australian National University in Australia and has contributed extensively to the field of computer science, particularly in software engineering and related subfields. Their research portfolio includes work published across numerous reputable venues and collaborations with several frequent coauthors.

The primary fields of study for Zhenchang Xing focus on computer science, with significant contributions spanning information systems, artificial intelligence, computer networks and communications, software, and signal processing. Within these areas, the scientist's work covers a range of specialized topics including software engineering research, topic modeling, advanced malware detection techniques, software system performance and reliability, natural language processing techniques, software testing and debugging techniques, and web application security vulnerabilities.

Some of their recent published papers illustrate the scope and diversity of their research interests:

  • Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity (2023, arXiv (Cornell University))
  • Wireframe-based UI Design Search through Image Autoencoder (2020, ACM Transactions on Software Engineering and Methodology)
  • Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation (2021, IEEE Transactions on Software Engineering)
  • From Lost to Found (2020, Proceedings of the ACM on Human-Computer Interaction)
  • Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval (2020, IEEE Transactions on Software Engineering)

Zhenchang Xing has engaged frequently with coauthors including Liming Zhu, Qinghua Lu, Xiwei Xu, Qing Huang, and Shidong Pan. The collaborative nature of this work is evident through numerous joint publications.

The scientist's work is often published in venues that are well-regarded in the fields of software engineering and computer science, such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering
  • AI and Ethics
  • Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Best Publications

  • UMLDiff: an algorithm for object-oriented design differencing

    Zhenchang Xing;Eleni Stroulia

  • Measuring program comprehension: a large-scale field study with professionals

    Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing

  • Ensemble application of convolutional and recurrent neural networks for multi-label text categorization

    Guibin Chen;Deheng Ye;Zhenchang Xing;Jieshan Chen

  • Neural-machine-translation-based commit message generation: how far are we?

    Zhongxin Liu;Xin Xia;Ahmed E. Hassan;David Lo

  • What do developers search for on the web

    Xin Xia;Xin Xia;Lingfeng Bao;David Lo;Pavneet Singh Kochhar

  • From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation

    Chunyang Chen;Ting Su;Guozhu Meng;Zhenchang Xing

  • API-Evolution Support with Diff-CatchUp

    Zhenchang Xing;E. Stroulia

  • Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description

    Zhuobing Han;Xiaohong Li;Zhenchang Xing;Hongtao Liu

  • API method recommendation without worrying about the task-API knowledge gap

    Qiao Huang;Xin Xia;Zhenchang Xing;David Lo

  • Predicting semantically linkable knowledge in developer online forums via convolutional neural network

    Bowen Xu;Deheng Ye;Zhenchang Xing;Xin Xia

  • Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study

    Zhenchang Xing;Eleni Stroulia

  • Refactoring Detection based on UMLDiff Change-Facts Queries

    Zhenchang Xing;Eleni Stroulia

  • Object detection for graphical user interface: old fashioned or deep learning or a combination?

    Jieshan Chen;Mulong Xie;Zhenchang Xing;Chunyang Chen

  • AnswerBot: automated generation of answer summary to developersź technical questions

    Bowen Xu;Zhenchang Xing;Xin Xia;David Lo

  • Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability

    Xiaoxue Ren;Zhenchang Xing;Xin Xia;David Lo

  • Unblind your apps: predicting natural-language labels for mobile GUI components by deep learning

    Jieshan Chen;Chunyang Chen;Zhenchang Xing;Xiwei Xu

  • Feature Location in a Collection of Product Variants

    Yinxing Xue;Zhenchang Xing;Stan Jarzabek

  • Analyzing the evolutionary history of the logical design of object-oriented software

    Z. Xing;E. Stroulia

  • Software-Specific Named Entity Recognition in Software Engineering Social Content

    Deheng Ye;Zhenchang Xing;Chee Yong Foo;Zi Qun Ang

  • What help do developers seek, when and how?

    Hongwei Li;Zhenchang Xing;Xin Peng;Wenyun Zhao

  • Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel

    Shaowei Wang;David Lo;Zhenchang Xing;Lingxiao Jiang

Frequent Co-Authors

Xin Xia
Xin Xia Huawei Technologies (China)
Xin Peng
Xin Peng Fudan University
David Lo
David Lo Singapore Management University
Chunyang Chen
Chunyang Chen Technical University of Munich
Eleni Stroulia
Eleni Stroulia University of Alberta
Jun Sun
Jun Sun Singapore Management University
Xiwei Xu
Xiwei Xu Commonwealth Scientific and Industrial Research Organisation
Liming Zhu
Liming Zhu Commonwealth Scientific and Industrial Research Organisation
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Aixin Sun
Aixin Sun Nanyang Technological University

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