World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
110
Citations
62277
World Ranking
223
National Ranking
125

Jianfeng Gao 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 Jianfeng Gao 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 473 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Jianfeng Gao 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 Jianfeng Gao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 110 D-Index — 98th percentile

98% 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

  • 2020 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to machine learning for Web search and natural language processing
  • 2009 - ACM Senior Member

Overview

Jianfeng Gao is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, particularly in computer vision and artificial intelligence. Their research spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, control and systems engineering, radiology, nuclear medicine and imaging, and surgery.

The scientist's work covers several main topics, such as multimodal machine learning applications, domain adaptation and few-shot learning, topic modeling, advanced image and video retrieval techniques, advanced neural network applications, human pose and action recognition, and natural language processing techniques.

Jianfeng Gao has published research in highly regarded venues, with a significant number of papers appearing on arXiv (Cornell University), where they have 80 publications. Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Robotics & Automation Magazine, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

The scientist has collaborated with numerous co-authors, including Chunyuan Li, Jianwei Yang, Pengchuan Zhang, and Lijuan Wang, contributing to a range of multi-author projects and advancing multiple areas of machine learning and computer vision.

Selected recent papers by Jianfeng Gao include:

  • "Unified Vision-Language Pre-Training for Image Captioning and VQA," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "RegionCLIP: Region-based Language-Image Pretraining," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Florence: A New Foundation Model for Computer Vision," 2021, arXiv (Cornell University)
  • "Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Focal Self-attention for Local-Global Interactions in Vision Transformers," 2021, arXiv (Cornell University)

Best Publications

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Stacked Attention Networks for Image Question Answering

    Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

    Yandong Guo;Lei Zhang;Yuxiao Hu;Xiaodong He

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jiwei Li;Michel Galley;Chris Brockett;Jianfeng Gao

  • Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

    Yu Gu;Robert Tinn;Hao Cheng;Michael Lucas

  • Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

    Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION

    Pengcheng He;Xiaodong Liu;Jianfeng Gao;Weizhu Chen

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • Multi-Task Deep Neural Networks for Natural Language Understanding

    Xiaodong Liu;Pengcheng He;Weizhu Chen;Jianfeng Gao

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

    Payal Bajaj;Daniel Campos;Nick Craswell;Li Deng

  • DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

    Yizhe Zhang;Siqi Sun;Michel Galley;Yen-Chun Chen

  • On the Variance of the Adaptive Learning Rate and Beyond

    Liyuan Liu;Haoming Jiang;Pengcheng He;Weizhu Chen

  • A Persona-Based Neural Conversation Model

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

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

  • Unified Vision-Language Pre-Training for Image Captioning and VQA

    Luowei Zhou;Hamid Palangi;Lei Zhang;Houdong Hu

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

    Tri Nguyen;Mir Rosenberg;Xia Song;Jianfeng Gao

  • PIQA: Reasoning about Physical Commonsense in Natural Language

    Yonatan Bisk;Rowan Zellers;Ronan Le bras;Jianfeng Gao

Frequent Co-Authors

Li Deng
Li Deng Citadel
Michel Galley
Michel Galley Microsoft (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Lihong Li
Lihong Li Amazon (United States)
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Jian-Yun Nie
Jian-Yun Nie University of Montreal
Zhe Gan
Zhe Gan Microsoft (United States)
Ming Zhou
Ming Zhou Langboat Technology
Yun-Nung Chen
Yun-Nung Chen National Taiwan University

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