World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11027
World Ranking
4595
National Ranking
2142

Dongmei 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 Dongmei 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: 430 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Dongmei 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 Dongmei 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Dongmei Zhang is affiliated with Microsoft in the United States and has a research profile focused primarily within the field of computer science. Their work spans multiple subfields, notably artificial intelligence, computer vision and pattern recognition, and information systems.

Their publication record includes contributions to major venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Management of Data, and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Research topics covered by Dongmei Zhang include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Software Engineering Research
  • Data Quality and Management
  • Software System Performance and Reliability
  • Data Visualization and Analytics
  • Anomaly Detection Techniques and Applications

Frequent collaborators in their research work are Qingwei Lin, Lun Du, Shi Han, Han Shi, and Jian-Guang Lou.

Selected recent papers authored or co-authored by Dongmei Zhang include:

  • High Electric Field on Water Microdroplets Catalyzes Spontaneous and Ultrafast Oxidative C-H/N-H Cross-Coupling, 2022, Journal of the American Chemical Society
  • AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization, 2021, IEEE Transactions on Visualization and Computer Graphics

Other notable papers closely related in time and topic include "DeepTraLog" (2022, Proceedings of the 44th International Conference on Software Engineering), "Spontaneous Reduction by One Electron on Water Microdroplets Facilitates Direct Carboxylation with CO2" (2023, Journal of the American Chemical Society), and "UniParser: A Unified Log Parser for Heterogeneous Log Data" (2022, Proceedings of the ACM Web Conference 2022).

Best Publications

  • Robust log-based anomaly detection on unstable log data

    Xu Zhang;Yong Xu;Qingwei Lin;Bo Qiao

  • Deep API learning

    Xiaodong Gu;Hongyu Zhang;Dongmei Zhang;Sunghun Kim

  • Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

    Jiaqi Guo;Zecheng Zhan;Yan Gao;Yan Xiao

  • CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)

    Fei Lv;Hongyu Zhang;Jian-guang Lou;Shaowei Wang

  • Where do developers log? an empirical study on logging practices in industry

    Qiang Fu;Jieming Zhu;Wenlu Hu;Jian-Guang Lou

  • Harmonic maps and their applications in surface matching

    Dongmei Zhang;M. Hebert

  • How do software engineers understand code changes?: an exploratory study in industry

    Yida Tao;Yingnong Dang;Tao Xie;Dongmei Zhang

  • Mining succinct and high-coverage API usage patterns from source code

    Jue Wang;Yingnong Dang;Hongyu Zhang;Kai Chen

  • Identifying impactful service system problems via log analysis

    Shilin He;Qingwei Lin;Jian-Guang Lou;Hongyu Zhang

  • Learning to log: helping developers make informed logging decisions

    Jieming Zhu;Pinjia He;Qiang Fu;Hongyu Zhang

  • Performance debugging in the large via mining millions of stack traces

    Unknown

  • You Impress Me: Dialogue Generation via Mutual Persona Perception

    Qian Liu;Yihong Chen;Bei Chen;Jian-Guang Lou

  • ReBucket: a method for clustering duplicate crash reports based on call stack similarity

    Yingnong Dang;Rongxin Wu;Hongyu Zhang;Dongmei Zhang

  • Learning to Log: Helping Developers Make Informed Logging Decisions

    Unknown

  • AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization.

    Aoyu Wu;Yun Wang;Xinhuan Shu;Dominik Moritz

  • DataShot: Automatic Generation of Fact Sheets from Tabular Data

    Yun Wang;Zhida Sun;Haidong Zhang;Weiwei Cui

  • DeepTraLog

    Unknown

  • Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

    Weiwei Cui;Xiaoyu Zhang;Yun Wang;He Huang

  • UniParser: A Unified Log Parser for Heterogeneous Log Data

    Unknown

  • Extracting Top-K Insights from Multi-dimensional Data

    Bo Tang;Shi Han;Man Lung Yiu;Rui Ding

  • Correlating events with time series for incident diagnosis

    Chen Luo;Jian-Guang Lou;Qingwei Lin;Qiang Fu

  • YADING: fast clustering of large-scale time series data

    Rui Ding;Qiang Wang;Yingnong Dang;Qiang Fu

  • Software Analytics in Practice

    Dongmei Zhang;Shi Han;Yingnong Dang;Jian-Guang Lou

  • Improving Service Availability of Cloud Systems by Predicting Disk Error.

    Yong Xu;Kaixin Sui;Randolph Yao;Hongyu Zhang

  • Performance debugging in the large via mining millions of stack traces

    Shi Han;Yingnong Dang;Song Ge;Dongmei Zhang

  • Frequent Pattern Mining

    Shi Han;Yingnong Dang;Dongmei Zhang;Song Ge

Frequent Co-Authors

Jian-Guang Lou
Jian-Guang Lou Microsoft (United States)
Qingwei Lin
Qingwei Lin Microsoft (United States)
Hongyu Zhang
Hongyu Zhang Chongqing University
Tao Xie
Tao Xie Peking University
Martial Hebert
Martial Hebert Carnegie Mellon University
Dan Hao
Dan Hao Peking University
Sunghun Kim
Sunghun Kim Hong Kong University of Science and Technology
Lu Zhang
Lu Zhang Peking University
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Zhouchen Lin
Zhouchen Lin Peking University

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