World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
27671
World Ranking
1326
National Ranking
699

Caiming Xiong 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 Caiming Xiong 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: 279 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Caiming Xiong 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 Caiming Xiong 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: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Caiming Xiong is affiliated with Salesforce in the United States and focuses on research primarily within the field of Computer Science. Their scholarly contributions cover several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Signal Processing.

The main topics underlying Xiong's research include Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Speech and Dialogue Systems, Advanced Neural Network Applications, and Machine Learning and Data Classification.

Xiong has published extensively in numerous venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Transactions of the Association for Computational Linguistics
  • Findings of the Association for Computational Linguistics: NAACL 2022
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent publications associated with their work are:

  • BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation, 2022, arXiv (Cornell University)
  • Large language models generate functional protein sequences across diverse families, 2023, Nature Biotechnology
  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation, 2021, arXiv (Cornell University)
  • Prototypical Contrastive Learning of Unsupervised Representations, 2020, arXiv (Cornell University)
  • Intent Contrastive Learning for Sequential Recommendation, 2022, Proceedings of the ACM Web Conference 2022

Collaboration forms an important aspect of Xiong's work. Frequent coauthors include Silvio Savarese, Chien-Sheng Wu, Yingbo Zhou, Shafiq Joty, and Richard Socher, evidencing connections across several research groups and disciplines.

Best Publications

  • Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

    Jiasen Lu;Caiming Xiong;Devi Parikh;Richard Socher

  • A Deep Reinforced Model for Abstractive Summarization

    Romain Paulus;Caiming Xiong;Richard Socher

  • Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

    Victor Zhong;Caiming Xiong;Richard Socher

  • CTRL: A Conditional Transformer Language Model for Controllable Generation

    Nitish Shirish Keskar;Bryan McCann;Lav R. Varshney;Caiming Xiong

  • Pointer Sentinel Mixture Models

    Stephen Merity;Caiming Xiong;James Bradbury;Richard Socher

  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

    Junnan Li;Ramprasaath R. Selvaraju;Akhilesh Deepak Gotmare;Shafiq R. Joty

  • Learned in translation: contextualized word vectors

    Bryan McCann;James Bradbury;Caiming Xiong;Richard Socher

  • Dynamic memory networks for visual and textual question answering

    Caiming Xiong;Stephen Merity;Richard Socher

  • Dynamic Coattention Networks For Question Answering

    Caiming Xiong;Victor Zhong;Richard Socher

  • End-to-End Dense Video Captioning with Masked Transformer

    Luowei Zhou;Yingbo Zhou;Jason J. Corso;Richard Socher

  • The Natural Language Decathlon: Multitask Learning as Question Answering

    Bryan McCann;Nitish Shirish Keskar;Caiming Xiong;Richard Socher

  • A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

    Kazuma Hashimoto;Caiming Xiong;Yoshimasa Tsuruoka;Richard Socher

  • Evaluating the Factual Consistency of Abstractive Text Summarization

    Wojciech Kryscinski;Bryan McCann;Caiming Xiong;Richard Socher

  • ERASER: A Benchmark to Evaluate Rationalized NLP Models

    Jay DeYoung;Sarthak Jain;Nazneen Fatema Rajani;Eric Lehman

  • Prototypical Contrastive Learning of Unsupervised Representations

    Junnan Li;Pan Zhou;Caiming Xiong;Richard Socher

  • Non-Autoregressive Neural Machine Translation

    Jiatao Gu;James Bradbury;Caiming Xiong;Victor O. K. Li

  • Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

    Chien-Sheng Wu;Andrea Madotto;Ehsan Hosseini-Asl;Caiming Xiong

  • Quasi-Recurrent Neural Networks

    Bradbury James;Merity Stephen Joseph;Xiong Caiming;Socher Richard

  • Explain Yourself! Leveraging Language Models for Commonsense Reasoning

    Nazneen Fatema Rajani;Bryan McCann;Caiming Xiong;Richard Socher

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryscinski;Bryan McCann;Caiming Xiong

  • Evaluating the Factual Consistency of Abstractive Text Summarization

    Wojciech Kryściński;Bryan McCann;Caiming Xiong;Richard Socher

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryściński;Bryan McCann;Caiming Xiong

Frequent Co-Authors

Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Dragomir R. Radev
Dragomir R. Radev Yale University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Zuxuan Wu
Zuxuan Wu Fudan University
Song-Chun Zhu
Song-Chun Zhu Peking University
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Shafiq Joty
Shafiq Joty Salesforce (United States)

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