World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
7710
World Ranking
7596
National Ranking
2087

Jian-Guang Lou publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jian-Guang Lou sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 174 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jian-Guang Lou D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jian-Guang Lou sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jian-Guang Lou is affiliated with Microsoft in the United States and works primarily in the field of Computer Science, with a strong focus on Artificial Intelligence. Their research portfolio includes activities in subfields such as Computer Vision and Pattern Recognition, Information Systems, Software, and Materials Chemistry.

The scientist's work spans several main topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Software Engineering Research
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Machine Learning in Materials Science
  • Software System Performance and Reliability

Jian-Guang Lou has contributed to numerous peer-reviewed papers published across various academic venues. Some notable recent publications include:

  • "TAPEX: Table Pre-training via Learning a Neural SQL Executor," 2021, arXiv (Cornell University)
  • "CodeT: Code Generation with Generated Tests," 2022, arXiv (Cornell University)
  • "CERT: Continual Pre-training on Sketches for Library-oriented Code Generation," 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The primary venues where Jian-Guang Lou's work appears frequently include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • IEEE Transactions on Visualization and Computer Graphics

Collaborative research is a significant aspect of Jian-Guang Lou's career. Common coauthors are:

  • Zeqi Lin
  • Dongmei Zhang
  • Bei Chen
  • Weizhu Chen
  • Jiaqi Guo

The extent of Jian-Guang Lou's publication record in Artificial Intelligence and related Computer Science fields indicates a sustained research effort in software engineering, machine learning methods, including natural language processing and multimodal applications. Their work also touches on specific applied areas such as machine learning for materials science and system performance reliability.

Best Publications

  • Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

    Qiang Fu;Jian-Guang Lou;Yi Wang;Jiang Li

  • Robust log-based anomaly detection on unstable log data

    Xu Zhang;Yong Xu;Qingwei Lin;Bo Qiao

  • Log clustering based problem identification for online service systems

    Qingwei Lin;Hongyu Zhang;Jian-Guang Lou;Yu Zhang

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

    Jiaqi Guo;Zecheng Zhan;Yan Gao;Yan Xiao

  • Principal axis-based correspondence between multiple cameras for people tracking

    Weiming Hu;Min Hu;Xue Zhou;Tieniu Tan

  • Mining invariants from console logs for system problem detection

    Jian-Guang Lou;Qiang Fu;Shengqi Yang;Ye Xu

  • 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

  • 3-D model-based vehicle tracking

    Jianguang Lou;Tieniu Tan;Weiming Hu;Hao Yang

  • Identifying impactful service system problems via log analysis

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

  • A real-time interactive multi-view video system

    Jian-Guang Lou;Hua Cai;Jiang Li

  • You Impress Me: Dialogue Generation via Mutual Persona Perception

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

  • WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

    Unknown

  • Mining program workflow from interleaved traces

    Jian-Guang Lou;Qiang Fu;Shengqi Yang;Jiang Li

  • Correlating events with time series for incident diagnosis

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

  • Software Analytics in Practice

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

  • Peer-to-peer aided live video sharing system

    Yusuo Hu;Chong Luo;Jian Tang;Jian-Guang Lou

  • Mining dependency in distributed systems through unstructured logs analysis

    Jian-Guang Lou;Qiang Fu;Yi Wang;Jiang Li

  • Predicting Node failure in cloud service systems

    Qingwei Lin;Ken Hsieh;Yingnong Dang;Hongyu Zhang

  • Large Language Models Meet NL2Code: A Survey

    Unknown

  • GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

    Hui Chen;Zijia Lin;Guiguang Ding;Jianguang Lou

  • A system and method for client services for interactive multi-view video

    Hua Cai;Jianguang Lou;Jiang Li;Yihua Xu

  • Log 2 : a cost-aware logging mechanism for performance diagnosis

    Rui Ding;Hucheng Zhou;Jian-Guang Lou;Hongyu Zhang

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

    Yong Xu;Kaixin Sui;Randolph Yao;Hongyu Zhang

Frequent Co-Authors

Dongmei Zhang
Dongmei Zhang Microsoft (United States)
Jiang Li
Jiang Li Microsoft (United States)
Qingwei Lin
Qingwei Lin Microsoft (United States)
Hongyu Zhang
Hongyu Zhang Chongqing University
Tao Xie
Tao Xie Peking University
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Zhoujun Li
Zhoujun Li Beihang University
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Yong Li
Yong Li Tsinghua University

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