World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7790
World Ranking
6898
National Ranking
923

Sujian 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 Sujian 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Sujian 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 Sujian 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Sujian Li is affiliated with Peking University in China and has a significant body of research primarily within the field of Computer Science. Their academic work spans multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Management Information Systems, Management Science and Operations Research, and Computational Theory and Mathematics.

The main topics covered in Sujian Li's research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Sentiment Analysis and Opinion Mining
  • Speech Recognition and Synthesis

Their frequent co-authors reflect a collaborative research approach and include:

  • Dawei Zhu
  • Wenhao Wu
  • Yifan Song
  • Ziqiang Cao
  • Wenjie Li

Key recent publications by Sujian Li showcase a range of topics and venues:

  • "A Robust Adversarial Training Approach to Machine Reading Comprehension," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction," 2021, arXiv (Cornell University)
  • "Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples," 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • "IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

The venues where Sujian Li frequently publishes include:

  • arXiv (Cornell University)
  • Journal of Mechanical Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Sujian Li has contributed to the academic literature through book publications, including a work published by Springer Science+Business Media titled "Chinese Computational Linguistics" (2020).

Best Publications

  • Interactive attention networks for aspect-level sentiment classification

    Dehong Ma;Sujian Li;Xiaodong Zhang;Houfeng Wang

  • Faithful to the Original: Fact Aware Neural Abstractive Summarization

    Ziqiang Cao;Furu Wei;Wenjie Li;Sujian Li

  • Text Level Graph Neural Network for Text Classification.

    Lianzhe Huang;Dehong Ma;Sujian Li;Xiaodong Zhang

  • Ranking with recursive neural networks and its application to multi-document summarization

    Ziqiang Cao;Furu Wei;Li Dong;Sujian Li

  • A Dependency-Based Neural Network for Relation Classification

    Yang Liu;Furu Wei;Sujian Li;Heng Ji

  • Applying regression models to query-focused multi-document summarization

    You Ouyang;Wenjie Li;Sujian Li;Qin Lu

  • Do NLP Models Know Numbers? Probing Numeracy in Embeddings

    Eric Wallace;Yizhong Wang;Sujian Li;Sameer Singh

  • Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

    Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

  • A novel neural topic model and its supervised extension

    Ziqiang Cao;Sujian Li;Yang Liu;Wenjie Li

  • Entity-centric topic-oriented opinion summarization in twitter

    Xinfan Meng;Furu Wei;Xiaohua Liu;Ming Zhou

  • Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

    An Yang;Quan Wang;Jing Liu;Kai Liu

  • Learning Summary Prior Representation for Extractive Summarization

    Ziqiang Cao;Furu Wei;Sujian Li;Wenjie Li

  • Semantic computation in a Chinese question-answering system

    Sujian Li;Jian Zhang;Xiong Huang;Shuo Bai

  • Implicit discourse relation classification via multi-task neural networks

    Yang Liu;Sujian Li;Xiaodong Zhang;Zhifang Sui

  • Constructing Information Networks Using One Single Model

    Qi Li;Heng Ji;Yu Hong;Yu Hong;Sujian Li

  • Encoding Temporal Information for Time-Aware Link Prediction

    Tingsong Jiang;Tianyu Liu;Tao Ge;Lei Sha

  • Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

    Dehong Ma;Sujian Li;Fangzhao Wu;Xing Xie

  • Component-Enhanced Chinese Character Embeddings

    Yanran Li;Wenjie Li;Fei Sun;Sujian Li

  • Improving multi-document summarization via text classification

    Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

  • Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

    Yizhong Wang;Kai Liu;Jing Liu;Wei He

  • AttSum: Joint learning of focusing and summarization with neural attention

    Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

  • Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

    Bowen Yu;Zhenyu Zhang;Xiaobo Shu;Tingwen Liu

  • Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

    Bowen Yu;Zhenyu Zhang;Xiaobo Shu;Yubin Wang

Frequent Co-Authors

Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Houfeng Wang
Houfeng Wang Peking University
Furu Wei
Furu Wei Microsoft (United States)
Baobao Chang
Baobao Chang Peking University
Ming Zhou
Ming Zhou Langboat Technology
Qin Lu
Qin Lu Hong Kong Polytechnic University
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Jiwei Li
Jiwei Li Zhejiang University
Xu Sun
Xu Sun Peking University
Hua Wu
Hua Wu Baidu (China)

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