World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
13496
World Ranking
2497
National Ranking
339

Luo Si 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 Luo Si 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: 301 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Luo Si 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 Luo Si 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - ACM Distinguished Member

Overview

Luo Si is affiliated with Alibaba Group (China) and has extensively contributed to the field of computer science, with a primary focus on artificial intelligence. Their research portfolio comprises 217 publications, predominantly in areas such as artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and electrical and electronic engineering.

The scientist has worked on a range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Graph Neural Networks

Luo Si's recent papers demonstrate a diversity of research interests and include the following works:

  • "Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction" (2022), published in Proceedings of the ACM Web Conference 2022
  • "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction" (2022), published in Findings of the Association for Computational Linguistics: NAACL 2022

Frequent co-authors collaborating with Luo Si include:

  • Fei Huang
  • Lidong Bing
  • Yongbin Li
  • Chuanqi Tan

Luo Si's publications appear regularly in select venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

In recognition of professional contributions, Luo Si was awarded the ACM Distinguished Member honor in 2019.

Best Publications

  • Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

    Haiyun Peng;Lu Xu;Lidong Bing;Fei Huang

  • Flexible mixture model for collaborative filtering

    Luo Si;Rong Jin

  • An automatic weighting scheme for collaborative filtering

    Rong Jin;Joyce Y. Chai;Luo Si

  • KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

    Xiang Chen;Ningyu Zhang;Xin Xie;Shumin Deng

  • A statistical model for scientific readability

    Luo Si;Jamie Callan

  • Relevant document distribution estimation method for resource selection

    Luo Si;Jamie Callan

  • Expertise Retrieval

    Krisztian Balog;Yi Fang;Maarten de Rijke;Pavel Serdyukov

  • Composite hashing with multiple information sources

    Dan Zhang;Fei Wang;Luo Si

  • Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

    Unknown

  • Federated Search

    Milad Shokouhi;Luo Si

  • A semisupervised learning method to merge search engine results

    Luo Si;Jamie Callan

  • A language modeling framework for resource selection and results merging

    Luo Si;Rong Jin;Jamie Callan;Paul Ogilvie

  • Effective automatic image annotation via a coherent language model and active learning

    Rong Jin;Joyce Y. Chai;Luo Si

  • Document-level Relation Extraction as Semantic Segmentation.

    Ningyu Zhang;Xiang Chen;Xin Xie;Shumin Deng

  • A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code

    Lei Cen;Christoher S. Gates;Luo Si;Ninghui Li

  • HERCULE: attack story reconstruction via community discovery on correlated log graph

    Kexin Pei;Zhongshu Gu;Brendan Saltaformaggio;Shiqing Ma

  • Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning.

    Quanzhi Li;Qiong Zhang;Luo Si

  • A Bayesian approach toward active learning for collaborative filtering

    Rong Jin;Luo Si

  • Mining contrastive opinions on political texts using cross-perspective topic model

    Yi Fang;Luo Si;Naveen Somasundaram;Zhengtao Yu

  • Collaborative filtering with decoupled models for preferences and ratings

    Rong Jin;Luo Si;ChengXiang Zhai;Jamie Callan

  • Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

    Snehasis Mukhopadhyay;ChengXiang Zhai;Elisa Bertino;Fabio Crestani

  • On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

    Ruidan He;Linlin Liu;Hai Ye;Qingyu Tan

  • StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

    Wei Wang;Bin Bi;Ming Yan;Chen Wu

Frequent Co-Authors

Rong Jin
Rong Jin Alibaba Group (China)
Jamie Callan
Jamie Callan Carnegie Mellon University
Eric Nyberg
Eric Nyberg Carnegie Mellon University
Chris Clifton
Chris Clifton Purdue University West Lafayette
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Aditya P. Mathur
Aditya P. Mathur Singapore University of Technology and Design
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

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