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Jimeng Sun

2002–2026 年に発表

449
論文数
31,541
被引用数
88
h 指数
290
i10 指数

被引用数

Jimeng Sun の年別被引用数1952 年: 被引用 2 件1967 年: 被引用 2 件1972 年: 被引用 1 件1980 年: 被引用 1 件1985 年: 被引用 4 件1992 年: 被引用 1 件1993 年: 被引用 1 件1994 年: 被引用 3 件2000 年: 被引用 1 件2001 年: 被引用 1 件2003 年: 被引用 20 件2004 年: 被引用 30 件2005 年: 被引用 47 件2006 年: 被引用 59 件2007 年: 被引用 87 件2008 年: 被引用 144 件2009 年: 被引用 215 件2010 年: 被引用 278 件2011 年: 被引用 387 件2012 年: 被引用 449 件2013 年: 被引用 492 件2014 年: 被引用 668 件2015 年: 被引用 692 件2016 年: 被引用 766 件2017 年: 被引用 792 件2018 年: 被引用 1,024 件2019 年: 被引用 1,263 件2020 年: 被引用 1,495 件2021 年: 被引用 1,531 件2022 年: 被引用 1,354 件2023 年: 被引用 1,465 件2024 年: 被引用 2,125 件2025 年: 被引用 2,117 件2026 年: 被引用 728 件1953〜1966 年は被引用が無いため表示していません1968〜1971 年は被引用が無いため表示していません1973〜1979 年は被引用が無いため表示していません1981〜1984 年は被引用が無いため表示していません1986〜1991 年は被引用が無いため表示していません1995〜1999 年は被引用が無いため表示していません2002 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,747 件、この内訳の 25.7%中国: 引用元論文 4,147 件、この内訳の 22.4%イギリス: 引用元論文 895 件、この内訳の 4.8%オーストラリア: 引用元論文 690 件、この内訳の 3.7%ドイツ: 引用元論文 623 件、この内訳の 3.4%インド: 引用元論文 547 件、この内訳の 3%カナダ: 引用元論文 532 件、この内訳の 2.9%香港: 引用元論文 466 件、この内訳の 2.5%韓国: 引用元論文 424 件、この内訳の 2.3%シンガポール: 引用元論文 401 件、この内訳の 2.2%イタリア: 引用元論文 372 件、この内訳の 2%日本: 引用元論文 359 件、この内訳の 1.9%
0%25.7%その他 23.2%

機関

分野

  • Computer Science58.2%
  • Physics and Astronomy9.1%
  • Medicine8.4%
  • Mathematics4.8%
  • Biochemistry, Genetics and Molecular Biology3.9%
  • Engineering3.1%
  • その他12.5%

トピック

  • Machine Learning in Healthcare6.3%
  • Complex Network Analysis Techniques4.4%
  • Topic Modeling4.1%
  • Advanced Graph Neural Networks3.1%
  • Artificial Intelligence in Healthcare2.5%
  • Computational Drug Discovery Methods2.2%
  • その他77.4%

共著者

全論文

検索で開く
  1. Scientific discovery in the age of artificial intelligence

    著者: Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik - Nature, Nat. 2023 被引用: 1,726

  2. MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction

    著者: Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun - Bioinformatics, Bioinform. 2020 被引用: 604

  3. Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

    著者: Zhen Lin, Shubhendu Trivedi, Jimeng Sun - Trans. Mach. Learn. Res. 2024 被引用: 258

  4. MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

    著者: Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun - Conference on Empirical Methods in Natural Language Processing, EMNLP 2005 被引用: 595

  5. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

    著者: Cao Xiao, Edward Choi, Jimeng Sun - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2018 被引用: 819

  6. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

    著者: Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Xu Zhao, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah R. Lawrence, H. Stärk, Shurui Gui, Carl N. Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru‐Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Žitnik, Anima Anandkumar, Stefano Ermon, Píetro Lió, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2025 被引用: 141

  7. GRAM: Graph-based Attention Model for Healthcare Representation Learning

    著者: Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun - SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 被引用: 653

  8. Using recurrent neural network models for early detection of heart failure onset

    著者: Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2016 被引用: 952

  9. LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity

    著者: Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun - SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 被引用: 212

  10. Social influence analysis in large-scale networks

    著者: Jie Tang, Jimeng Sun, Chi Wang, Zi Yang - SIGKDD international conference on Knowledge discovery and data mining 2009 被引用: 929

  11. Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

    著者: Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik - NeurIPS Datasets and Benchmarks 2021 被引用: 491

  12. Artificial intelligence foundation for therapeutic science

    著者: Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Žitnik - Nature Chemical Biology 2022 被引用: 184

  13. SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

    著者: Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao - Bioinformatics, Bioinform. 2021 被引用: 173

  14. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

    著者: Yilin Wen, Zifeng Wang, Jimeng Sun - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 被引用: 79

  15. DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

    著者: Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han - ArXiv.org, CoRR 2025 被引用: 63

  16. Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding

    著者: Songtao Jiang, Wang, Yuan, Sibo Song, Tianxiang Hu, Chenyi Zhou, Bin Pu, Yan Zhang, Zhibo Yang, Feng Yang, Joey Tianyi Zhou, Jin Hao, Z. J. Chen, Ruqian Wu, Tao‐Tao Tang, Junhui Lv, Hongxia Xu, Hongwei Wang, Jun Xiao, Bin Feng, Fudong Zhu, Kangwei Li, Xie, Weidi, Jimeng Sun, Jian Wu, Zuozhu Liu - ArXiv.org, CoRR 2025 被引用: 60

  17. Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks

    著者: Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun - Machine Learning for Healthcare Conference, MLHC 2017 被引用: 343

  18. RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

    著者: Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo - IEEE Transactions on Visualization and Computer Graphics, IEEE Trans. Vis. Comput. Graph. 2018 被引用: 308

  19. From hype to reality: data science enabling personalized medicine

    著者: Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, Oliver Kohlbacher, Santosh Kumar, Thomas Lengauer, Marloes H. Maathuis, Yves Moreau, Susan A. Murphy, Teresa M. Przytycka, Michael Rebhan, Hannes Röst, Andreas Schuppert, Matthias Schwab, Rainer Spang, Daniel J. Stekhoven, Jimeng Sun, Andreas Weber⋆, Daniel Ziemek, Blaž Zupan - BMC Medicine 2018 被引用: 447

  20. Matching Patients to Clinical Trials with Large Language Models

    著者: Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin Gong, Dara Bracken‐Clarke, Elisabetta Xue, Y. F. Yang, Jimeng Sun, Zhiyong Lu - Nature Communications 2023 被引用: 206

  21. Hierarchical Reinforcement Learning for Course Recommendation in MOOCs

    著者: Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun - AAAI Conference on Artificial Intelligence 2019 被引用: 191

  22. Dealer: An End-to-End Model Marketplace with Differential Privacy

    著者: Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun - VLDB Endowment, Proc. VLDB Endow. 2021 被引用: 82

  23. Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis

    著者: Junghye Lee, Jimeng Sun, Fei Wang, Shuang Wang, Chi‐Hyuck Jun, Xiaoqian Jiang - JMIR Medical Informatics 2017 被引用: 191

  24. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

    著者: Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Y. Zou, Huaxiu Yao - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 92