World's Best Scientists 2026 revealed!
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Zhenchang Xing

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5398 5245 161 160 234 9098

Zhenchang Xing publications per year

The chart shows the history of publications by Zhenchang Xing between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhenchang Xing published across 23 years, from 2003 to 2025, averaging 15.5 papers a year. Output peaked at 76 publications in 2023. 82 of the 357 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 76. Peak 76 publications in 2023. 2003: 4 publications 2004: 4 publications 2005: 5 publications 2006: 4 publications 2007: 3 publications 2008: 2 publications 2009: 0 publications 2010: 3 publications 2011: 11 publications 2012: 3 publications 2013: 9 publications 2014: 3 publications 2015: 9 publications 2016: 14 publications 2017: 17 publications 2018: 20 publications 2019: 23 publications 2020: 23 publications 2021: 18 publications 2022: 24 publications 2023: 76 publications 2024: 47 publications 2025: 35 publications
2003 2025

357 publications in total across all disciplines

View publications per year as a table
Zhenchang Xing: publications per year, 2003 to 2025
Year Publications
2003 4
2004 4
2005 5
2006 4
2007 3
2008 2
2009 0
2010 3
2011 11
2012 3
2013 9
2014 3
2015 9
2016 14
2017 17
2018 20
2019 23
2020 23
2021 18
2022 24
2023 76
2024 47
2025 35
Total 357
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 232–241 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423 234
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 50–51 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543 51
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Zhenchang Xing Google Scholar page

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Related Online Degrees & Career Pathways

Exploring online education in the U.S. offers flexibility for students at all stages. If cost is a concern, consider researching the affordable online degree programs now available in computer science and related fields. These programs offer budget-friendly options without compromising quality.

Students with lower academic records also have opportunities. Many reputable online colleges that accept low gpa provide pathways to start or continue your studies without traditional barriers.

While a computer science degree opens doors in tech, you may be curious about other options. For those interested in sustainability, see what can i do with an environmental science degree for potential careers.

If you want to accelerate your journey, many schools offer computer science accelerated program options. These fast-tracked degrees are ideal if you are eager to enter the workforce quickly.

Best Scientists Citing Zhenchang Xing

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Publications: 74

Xin Xia

Xin Xia

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Publications: 71

Christoph Treude

Christoph Treude

Singapore Management University

Publications: 26

Chunyang Chen

Chunyang Chen

Technical University of Munich

Publications: 24

Miryung Kim

Miryung Kim

University of California, Los Angeles

Publications: 22

Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

Publications: 21

Marco Tulio Valente

Marco Tulio Valente

Universidade Federal de Minas Gerais

Publications: 20

Giuliano Antoniol

Giuliano Antoniol

Polytechnique Montréal

Publications: 19

Ali Ouni

Ali Ouni

École de Technologie Supérieure

Publications: 18

Yann-Gaël Guéhéneuc

Yann-Gaël Guéhéneuc

Concordia University

Publications: 18

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 17

Thorsten Berger

Thorsten Berger

Ruhr University Bochum

Publications: 15

Xin Peng

Xin Peng

Fudan University

Publications: 15

Foutse Khomh

Foutse Khomh

Polytechnique Montréal

Publications: 15

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Kenichi Matsumoto

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