World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
13522
World Ranking
2647
National Ranking
363

Lu Zhang 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 Lu Zhang 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Lu Zhang 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 Lu Zhang 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: 64 D-Index — 82nd percentile

82% 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

  • 2016 - ACM Senior Member

Overview

Lu Zhang is affiliated with Peking University in China and is identified with the primary field of Computer Science. Their research focuses strongly on software-related disciplines, including subfields such as Software, Information Systems, Artificial Intelligence, Computer Networks and Communications, and Hardware and Architecture.

The main topics covered in Lu Zhang's work include:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Natural Language Processing Techniques
  • Advanced Malware Detection Techniques
  • Topic Modeling

Lu Zhang has published extensively, with significant contributions to reputable venues. Frequent publication venues include:

  • IEEE Transactions on Software Engineering
  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Journal of Systems and Software
  • Artifact Digital Object Group

Representative recent publications by Lu Zhang include:

  • Surface roughness and gloss of polished nanofilled and nanohybrid resin composites, 2021, Journal of Dental Sciences
  • A Survey of Compiler Testing, 2020, ACM Computing Surveys
  • Targeting macrophage TFEB-14-3-3 epsilon Interface by naringenin inhibits abdominal aortic aneurysm, 2022, Cell Discovery
  • Deep Learning Based Program Generation From Requirements Text: Are We There Yet?, 2020, IEEE Transactions on Software Engineering
  • Deep learning-based software engineering: progress, challenges, and opportunities, 2024, Science China Information Sciences

In collaboration, Lu Zhang has worked frequently with several coauthors, including:

  • Yanjie Jiang (13 joint publications)
  • Hui Liu (10 joint publications)
  • Yingfei Xiong (9 joint publications)
  • Zeyu Sun (6 joint publications)
  • Dan Hao (5 joint publications)

Lu Zhang was recognized as an ACM Senior Member in 2016, reflecting a standing within the computing professional community. Their work largely revolves around advancing techniques and understanding within software engineering disciplines, blending areas such as software testing, system reliability, and machine learning applied to software processes.

Best Publications

  • Convolutional neural networks over tree structures for programming language processing

    Lili Mou;Ge Li;Lu Zhang;Tao Wang

  • An approach to detecting duplicate bug reports using natural language and execution information

    Xiaoyin Wang;Lu Zhang;Tao Xie;John Anvik

  • MAPO: Mining and Recommending API Usage Patterns

    Hao Zhong;Tao Xie;Lu Zhang;Jian Pei

  • Natural Language Inference by Tree-Based Convolution and Heuristic Matching

    Lili Mou;Rui Men;Ge Li;Yan Xu

  • Precise condition synthesis for program repair

    Yingfei Xiong;Jie Wang;Runfa Yan;Jiachen Zhang

  • SNIAFL: Towards a static noninteractive approach to feature location

    Wei Zhao;Lu Zhang;Yin Liu;Jiasu Sun

  • An empirical study on TensorFlow program bugs

    Yuhao Zhang;Yifan Chen;Shing-Chi Cheung;Yingfei Xiong

  • How Transferable are Neural Networks in NLP Applications

    Lili Mou;Zhao Meng;Rui Yan;Ge Li

  • An Empirical Study of Fault Localization Families and Their Combinations

    Daming Zou;Jingjing Liang;Yingfei Xiong;Michael D. Ernst

  • Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis

    Chu-Pan Wong;Yingfei Xiong;Hongyu Zhang;Dan Hao

  • Inferring Resource Specifications from Natural Language API Documentation

    Hao Zhong;Lu Zhang;Tao Xie;Hong Mei

  • CMS Physics : Technical Design Report Volume 1: Detector Performance and Software

    G L Bayatian;A Korablev;A Soha;O Sharif

  • Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

    Lili Mou;Yiping Song;Rui Yan;Ge Li

  • Time-aware test-case prioritization using integer linear programming

    Lu Zhang;Shan-Shan Hou;Chao Guo;Tao Xie

  • A syntax-guided edit decoder for neural program repair

    Qihao Zhu;Zeyu Sun;Yuan-an Xiao;Wenjie Zhang

  • Mining API mapping for language migration

    Hao Zhong;Suresh Thummalapenta;Tao Xie;Lu Zhang

  • Bridging the gap between the total and additional test-case prioritization strategies

    Lingming Zhang;Dan Hao;Lu Zhang;Gregg Rothermel

  • Predictive Mutation Testing

    Jie Zhang;Lingming Zhang;Mark Harman;Dan Hao

  • A Static Approach to Prioritizing JUnit Test Cases

    Hong Mei;Dan Hao;Lingming Zhang;Lu Zhang

  • A Survey of Compiler Testing

    Junjie Chen;Jibesh Patra;Michael Pradel;Yingfei Xiong

  • TreeGen: A Tree-Based Transformer Architecture for Code Generation

    Zeyu Sun;Qihao Zhu;Yingfei Xiong;Yican Sun

Frequent Co-Authors

Hong Mei
Hong Mei Peking University
Dan Hao
Dan Hao Peking University
Yingfei Xiong
Yingfei Xiong Peking University
Lingming Zhang
Lingming Zhang University of Illinois at Urbana-Champaign
Tao Xie
Tao Xie Peking University
Lili Mou
Lili Mou University of Alberta
Hongyu Zhang
Hongyu Zhang Chongqing University
Rui Yan
Rui Yan Renmin University of China
Frans Coenen
Frans Coenen University of Liverpool
Gang Huang
Gang Huang Peking University

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