Jianfeng Gao

Active 2000–2026

653
Papers
90,155
Citations
129
h-index
482
i10-index

Citations

Citations per year for Jianfeng Gao1941: 1 citations1967: 1 citations1968: 1 citations1979: 1 citations1984: 2 citations1985: 1 citations1986: 2 citations1990: 1 citations1992: 2 citations1994: 4 citations1997: 1 citations2000: 15 citations2001: 16 citations2002: 33 citations2003: 60 citations2004: 81 citations2005: 104 citations2006: 142 citations2007: 162 citations2008: 181 citations2009: 229 citations2010: 327 citations2011: 332 citations2012: 398 citations2013: 425 citations2014: 460 citations2015: 584 citations2016: 948 citations2017: 1,528 citations2018: 2,122 citations2019: 2,978 citations2020: 4,147 citations2021: 4,800 citations2022: 4,487 citations2023: 6,154 citations2024: 7,185 citations2025: 8,306 citations2026: 3,243 citations2027: 4 citations1942–1966: no citations, so these years are not shown1969–1978: no citations, so these years are not shown1980–1983: no citations, so these years are not shown1987–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1993: no citations, so this year is not shown1995–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 11,443 citing papers, 28.5% of this breakdownUnited States: 8,622 citing papers, 21.5% of this breakdownUnited Kingdom: 2,430 citing papers, 6% of this breakdownGermany: 1,552 citing papers, 3.9% of this breakdownCanada: 1,281 citing papers, 3.2% of this breakdownHong Kong: 1,228 citing papers, 3% of this breakdownAustralia: 1,189 citing papers, 3% of this breakdownIndia: 1,008 citing papers, 2.5% of this breakdownJapan: 992 citing papers, 2.5% of this breakdownSingapore: 903 citing papers, 2.2% of this breakdownSouth Korea: 846 citing papers, 2.1% of this breakdownFrance: 761 citing papers, 1.9% of this breakdown
0%28.5%Other 19.7%

Fields

  • Computer Science81.1%
  • Engineering3.9%
  • Medicine2.3%
  • Social Sciences2.2%
  • Biochemistry, Genetics and Molecular Biology2%
  • Earth and Planetary Sciences1.9%
  • Other6.6%

Topics

  • Topic Modeling15.4%
  • Natural Language Processing Techniques9.5%
  • Multimodal Machine Learning Applications6.8%
  • Domain Adaptation and Few-Shot Learning3%
  • Speech and dialogue systems2.6%
  • Advanced Graph Neural Networks2.5%
  • Other60.2%

Coauthors

All papers

Open in search
  1. MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models

    Authors: , , , , , , , , , - ICLR 2024 cited by 1,759

  2. Large Language Models: A Survey

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 833

  3. Instruction Tuning with GPT-4

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 999

  4. Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

    Authors: , , , , , , , , - ACM Transactions on Computing for Healthcare, ACM Trans. Comput. Heal. 2021 cited by 2,012

  5. DeBERTa: Decoding-enhanced BERT with Disentangled Attention

    Authors: , , , - International Conference on Learning Representations, ICLR 2021 cited by 3,973

  6. Analysis of Points of Interests Recommended for Leisure Walk Descriptions

    Authors: , , , , , , - CoCo@NIPS 2016 cited by 3,509

  7. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

    Authors: , , , , , - arXiv (Cornell University), CoRR 2023 cited by 548

  8. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

    Authors: , , - ICLR 2023 cited by 1,986

  9. Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

    Authors: , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 473

  10. Florence: A New Foundation Model for Computer Vision

    Authors: , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2021 cited by 838

  11. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

    Authors: , , , , , , , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 1,950

  12. TrustLLM: Trustworthiness in Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  13. Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Authors: , , , , - ICLR (Poster) 2015 cited by 2,051

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

    Authors: , , , , - Lecture notes in computer science, ECCV (3) 2016 cited by 1,998

  15. A whole-slide foundation model for digital pathology from real-world data

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature 2024 cited by 779

  16. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 402

  17. Learning deep structured semantic models for web search using clickthrough data

    Authors: , , , , , - international conference on Information & Knowledge Management, CIKM 2013 cited by 2,079

  18. PIQA: Reasoning about Physical Commonsense in Natural Language

    Authors: , , , , - 2159-5399, AAAI 2020 cited by 594

  19. Reinforcement Learning for Reasoning in Large Language Models with One Training Example

    Authors: , , , , , , , , , , , , , - NeurIPS 2025 cited by 283

  20. DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation

    Authors: , , , , , , , , - Meeting of the Association for Computational Linguistics: System Demonstrations, ACL (demo) 2020 cited by 1,055

  21. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

    Authors: , , , , , - ICLR 2024 cited by 503

  22. On the Variance of the Adaptive Learning Rate and Beyond

    Authors: , , , , , , - ICLR 2020 cited by 2,273

  23. MIND: A Large-scale Dataset for News Recommendation

    Authors: , , , , , , , , , , - Meeting of the Association for Computational Linguistics, ACL 2020 cited by 465

  24. Agent AI: Surveying the Horizons of Multimodal Interaction

    Authors: , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 200