World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
17173
World Ranking
6302
National Ranking
841

Jiwei Li 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 Jiwei Li 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Jiwei Li 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 Jiwei Li 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Jiwei Li is affiliated with Zhejiang University in China and has made contributions primarily in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Signal Processing.

The researcher's work covers a variety of main topics such as Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Speech and Dialogue Systems, Advanced Malware Detection Techniques, and Advanced Graph Neural Networks.

Jiwei Li has authored multiple papers published in notable venues. Some recent papers include:

  • Pre-Trained Language Models and Their Applications, 2022, Engineering
  • Instruction Tuning for Large Language Models: A Survey, 2023, arXiv (Cornell University)
  • BertGCN: Transductive Text Classification by Combining GCN and BERT, 2021, arXiv (Cornell University)
  • Triggerless Backdoor Attack for NLP Tasks with Clean Labels, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving, 2022, Proceedings of the 30th ACM International Conference on Multimedia

Frequent coauthors working with Jiwei Li include:

  • Yuxian Meng
  • Fei Wu
  • Xiaofei Sun
  • Tianwei Zhang
  • Xiaoya Li

The researcher has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • International Journal of Reasoning-based Intelligent Systems
  • Engineering
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Best Publications

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jiwei Li;Michel Galley;Chris Brockett;Jianfeng Gao

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • A Persona-Based Neural Conversation Model

    Jiwei Li;Michel Galley;Chris Brockett;Georgios P. Spithourakis

  • Adversarial Learning for Neural Dialogue Generation

    Jiwei Li;Will Monroe;Tianlin Shi;Sébastien Jean

  • Visualizing and Understanding Neural Models in NLP

    Jiwei Li;Xinlei Chen;Eduard H. Hovy;Dan Jurafsky

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Michel Galley

  • A Hierarchical Neural Autoencoder for Paragraphs and Documents

    Jiwei Li;Thang Luong;Dan Jurafsky

  • Understanding Neural Networks through Representation Erasure

    Jiwei Li;Will Monroe;Dan Jurafsky

  • A Unified MRC Framework for Named Entity Recognition

    Xiaoya Li;Jingrong Feng;Yuxian Meng;Qinghong Han

  • Dice Loss for Data-imbalanced NLP Tasks

    Xiaoya Li;Xiaofei Sun;Yuxian Meng;Junjun Liang

  • A Hierarchical Neural Autoencoder for Paragraphs and Documents

    Jiwei Li;Minh-Thang Luong;Dan Jurafsky

  • Towards a General Rule for Identifying Deceptive Opinion Spam

    Jiwei Li;Myle Ott;Claire Cardie;Eduard Hovy

  • Entity-Relation Extraction as Multi-Turn Question Answering

    Xiaoya Li;Fan Yin;Zijun Sun;Xiayu Li

  • Pre-Trained Language Models and Their Applications

    Unknown

  • A Simple, Fast Diverse Decoding Algorithm for Neural Generation.

    Jiwei Li;Will Monroe;Dan Jurafsky

  • Do Multi-Sense Embeddings Improve Natural Language Understanding?

    Jiwei Li;Dan Jurafsky

  • Data Noising as Smoothing in Neural Network Language Models

    Ziang Xie;Sida I. Wang;Jiwei Li;Daniel Lévy

  • When Are Tree Structures Necessary for Deep Learning of Representations

    Jiwei Li;Minh-Thang Luong;Dan Jurafsky;Eudard Hovy

  • ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

    Zijun Sun;Xiaoya Li;Xiaofei Sun;Yuxian Meng

  • BertGCN: Transductive Text Classification by Combining GNN and BERT

    Yuxiao Lin;Yuxian Meng;Xiaofei Sun;Qinghong Han

  • Glyce: Glyph-vectors for Chinese Character Representations

    Yuxian Meng;Wei Wu;Fei Wang;Xiaoya Li

  • Coreference Resolution as Query-based Span Prediction.

    Wei Wu;Fei Wang;Arianna Yuan;Fei Wu

Frequent Co-Authors

Fei Wu
Fei Wu Zhejiang University
Dan Jurafsky
Dan Jurafsky Stanford University
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Alan Ritter
Alan Ritter Georgia Institute of Technology
Sujian Li
Sujian Li Peking University
Claire Cardie
Claire Cardie Cornell University
Qing He
Qing He University of Chinese Academy of Sciences
Michel Galley
Michel Galley Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Sumit Chopra
Sumit Chopra New York University

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