World's Best Scientists 2026 revealed!
Shuming Shi

Shuming Shi

D-Index & Metrics

Computer Science

D-Index
42
Citations
6091
World Ranking
8505
National Ranking
1109

Shuming Shi 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 Shuming Shi 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Shuming Shi 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 Shuming Shi 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Shuming Shi is affiliated with Tencent in China and specializes in the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, and Information Systems.

Their research covers a variety of advanced topics, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Software Engineering Research
  • Advanced Text Analysis Techniques

Shuming Shi's publication record includes numerous papers with recent examples listed below:

  • "Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models" (2023), published in arXiv (Cornell University)
  • "Recent Advances in Retrieval-Augmented Text Generation" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Context-aware Self-Attention Networks for Natural Language Processing" (2021), published in Neurocomputing
  • "Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition" (2020), published in arXiv (Cornell University)
  • "Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Shuming Shi frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Transactions of the Association for Computational Linguistics
  • IEEE Transactions on Games

Frequent co-authors collaborating with Shuming Shi are:

  • Zhaopeng Tu
  • Lemao Liu
  • Longyue Wang
  • Leyang Cui
  • Haiyun Jiang

Best Publications

  • Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings

    Yan Song;Shuming Shi;Jing Li;Haisong Zhang

  • Deep Neural Solver for Math Word Problems

    Yan Wang;Xiaojiang Liu;Shuming Shi

  • Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

    Unknown

  • Automatically Solving Number Word Problems by Semantic Parsing and Reasoning

    Shuming Shi;Yuehui Wang;Chin-Yew Lin;Xiaojiang Liu

  • Web object retrieval

    Zaiqing Nie;Yunxiao Ma;Shuming Shi;Ji-Rong Wen

  • Learning to Remember Translation History with a Continuous Cache

    Zhaopeng Tu;Yang Liu;Shuming Shi;Tong Zhang

  • How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation

    Danqing Huang;Shuming Shi;Chin-Yew Lin;Jian Yin

  • SOMO: Self-Organized Metadata Overlay for Resource Management in P2P DHT

    Zheng Zhang;Shu-Ming Shi;Jing Zhu

  • Research on Markov property analysis of driving cycles and its application

    Shuming Shi;Nan Lin;Yan Zhang;Jingmin Cheng

  • Adding dominant media elements to search results

    Ming Jing Li;Shuming Shi;Wei-Ying Ma;Zhiwei Li

  • Making peer-to-peer keyword searching feasible using multi-level partitioning

    Shuming Shi;Guangwen Yang;Dingxing Wang;Jin Yu

  • Exploiting Deep Representations for Neural Machine Translation

    Zi-Yi Dou;Zhaopeng Tu;Xing Wang;Shuming Shi

  • Overview of NTCIR-9 RITE : Recognizing Inference in TExt

    Hideki Shima;Hiroshi Kanayama;Cheng-Wei Lee;Chuan-Jie Lin

  • Title extraction from bodies of HTML documents and its application to web page retrieval

    Yunhua Hu;Guomao Xin;Ruihua Song;Guoping Hu

  • Learning Fine-Grained Expressions to Solve Math Word Problems

    Danqing Huang;Shuming Shi;Chin-Yew Lin;Jian Yin

  • Ensemble Semantics for Large-scale Unsupervised Relation Extraction

    Bonan Min;Shuming Shi;Ralph Grishman;Chin-Yew Lin

  • On the Word Alignment from Neural Machine Translation

    Xintong Li;Guanlin Li;Lemao Liu;Max Meng

  • Web page title extraction and its application

    Yewei Xue;Yunhua Hu;Guomao Xin;Ruihua Song

  • Self-Attention with Structural Position Representations.

    Xing Wang;Zhaopeng Tu;Longyue Wang;Shuming Shi

  • Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10

    Yotaro Watanabe;Yusuke Miyao;Junta Mizuno;Tomohide Shibata

  • Topic-Aware Neural Keyphrase Generation for Social Media Language

    Yue Wang;Jing Li;Hou Pong Chan;Irwin King

  • On the Inference Calibration of Neural Machine Translation

    Shuo Wang;Zhaopeng Tu;Shuming Shi;Yang Liu

  • Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework

    Deng Cai;Yan Wang;Wei Bi;Zhaopeng Tu

  • Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

    Deng Cai;Yan Wang;Victoria Bi;Zhaopeng Tu

Frequent Co-Authors

Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Guangwen Yang
Guangwen Yang Tsinghua University
Yang Liu
Yang Liu Tsinghua University
Irwin King
Irwin King Chinese University of Hong Kong
Lidong Bing
Lidong Bing Carnegie Mellon University

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