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Jie Tan

Active 2000–2026

408
Papers
22,532
Citations
63
h-index
270
i10-index

Citations

Citations per year for Jie Tan1967: 1 citations1971: 1 citations1981: 1 citations1990: 1 citations2001: 3 citations2002: 2 citations2003: 1 citations2004: 3 citations2005: 5 citations2006: 10 citations2007: 12 citations2008: 19 citations2009: 20 citations2010: 23 citations2011: 43 citations2012: 49 citations2013: 62 citations2014: 81 citations2015: 86 citations2016: 107 citations2017: 157 citations2018: 230 citations2019: 548 citations2020: 953 citations2021: 1,161 citations2022: 1,249 citations2023: 1,406 citations2024: 2,050 citations2025: 2,041 citations2026: 766 citations2027: 1 citations1968–1970: no citations, so these years are not shown1972–1980: no citations, so these years are not shown1982–1989: no citations, so these years are not shown1991–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,144 citing papers, 27.7% of this breakdownUnited States: 2,331 citing papers, 20.5% of this breakdownUnited Kingdom: 590 citing papers, 5.2% of this breakdownGermany: 463 citing papers, 4.1% of this breakdownCanada: 331 citing papers, 2.9% of this breakdownSouth Korea: 296 citing papers, 2.6% of this breakdownAustralia: 264 citing papers, 2.3% of this breakdownJapan: 264 citing papers, 2.3% of this breakdownIndia: 251 citing papers, 2.2% of this breakdownFrance: 236 citing papers, 2.1% of this breakdownItaly: 226 citing papers, 2% of this breakdownHong Kong: 208 citing papers, 1.8% of this breakdown
0%27.7%Other 24.3%

Institutions

Fields

  • Computer Science39.7%
  • Engineering24.9%
  • Medicine10.3%
  • Biochemistry, Genetics and Molecular Biology9.1%
  • Neuroscience5.3%
  • Environmental Science1.6%
  • Other9.1%

Topics

  • Reinforcement Learning in Robotics7.5%
  • Robot Manipulation and Learning3.4%
  • Multimodal Machine Learning Applications2.3%
  • Domain Adaptation and Few-Shot Learning1.8%
  • Robotic Locomotion and Control1.7%
  • Adversarial Robustness in Machine Learning1.6%
  • Other81.7%

Coauthors

All papers

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  1. Soft Actor-Critic Algorithms and Applications

    Authors: Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine - arXiv (Cornell University), CoRR 2018 cited by 2,198

  2. Gemini Robotics: Bringing AI into the Physical World

    Authors: Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauzá, Michiel Blokzijl, Steven Bohez, Konstantinos Bousmalis, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Oscar Chang, José Enrique Chen, Xi Chen, Hao-Tien Lewis Chiang, Krzysztof Choromański, David B. D’Ambrosio, Sudeep Dasari, Todor Davchev, Coline Devin, Norman Di Palo, Tianli Ding, Adil Dostmohamed, Danny Driess, Yilun Du, Debidatta Dwibedi, Michael Elabd, Claudio Fantacci, Cody Fong, Erik Frey, Chuyuan Fu, Marissa Giustina, Keerthana Gopalakrishnan, Laura Graesser, Leonard Hasenclever, Nicolas Heess, Brandon Hernaez, Alexander Herzog, Roswitha Hofer, Jan Humplik, Atıl Işçen, Mithun George Jacob, Deepali Jain, Ryan R. Julian, Dmitry Kalashnikov, Mustafa Emre Karagozler, Stefani Karp, Chase Kew, J. Russell Kirkland, Sean Kirmani, Yuheng Kuang, Thomas Lampe, Antoine Laurens, Isabel Leal, Alex X. Lee, Tsang-Wei Edward Lee, Jacky Liang, Yixin Lin, Sharath Maddineni, Anirudha Majumdar, Assaf Hurwitz Michaely, Moreno, Robert, Michael Neunert, Francesco Nori, Carolina Parada, Emilio Parisotto, Peter Pástor, Acorn Pooley, Kanishka Rao, Krista Reymann, Dorsa Sadigh, Stefano Saliceti, Pannag Sanketi, Pierre Sermanet, Dhruv Shah, Mohit Sharma, Shea, Kathryn, Charles Shu, Vikas Sindhwani, Sumeet Singh, Radu Soricut, Jost Tobias Springenberg, Rachel Sterneck, Razvan Surdulescu, Jie Tan, Jonathan Tompson, Vincent Vanhoucke, Jake Varley, Grace Vesom, Giulia Vezzani, Oriol Vinyals, Ayzaan Wahid, Stefan Welker and 18 more - ArXiv.org, CoRR 2025 cited by 355

  3. Language to Rewards for Robotic Skill Synthesis

    Authors: Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia - CoRL 2023 cited by 247

  4. How to train your robot with deep reinforcement learning: lessons we have learned

    Authors: Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine - The International Journal of Robotics Research, Int. J. Robotics Res. 2021 cited by 538

  5. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

    Authors: Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke - Robotics: Science and Systems XIV 2018 cited by 676

  6. Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

    Authors: LASA Team, Weiwen Xu, Hou Pong Chan, Long Li, Mahani Aljunied, Ruifeng Yuan, Jianyu Wang, Chenghao Xiao, Guizhen Chen, Chaoqun Liu, Zhaodonghui Li, Yu Sun, Junao Shen, Chaojun Wang, Jie Tan, Deli Zhao, Tingyang Xu, Hao Zhang, Yu Rong - ArXiv.org, CoRR 2025 cited by 154

  7. Learning Agile Robotic Locomotion Skills by Imitating Animals

    Authors: Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine - Robotics: Science and Systems XVI 2020 cited by 204

  8. Learning to Walk Via Deep Reinforcement Learning

    Authors: Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine - Robotics: Science and Systems XV 2019 cited by 436

  9. Caregiver burden: A concept analysis

    Authors: Zhu Liu, Catrina Heffernan, Jie Tan - International Journal of Nursing Sciences 2020 cited by 710

  10. Learning to be Safe: Deep RL with a Safety Critic

    Authors: Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn - arXiv (Cornell University), CoRR 2020 cited by 116

  11. UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

    Authors: Huy Ha, Yihuai Gao, Zipeng Fu, Jie Tan, Shuran Song - CoRL 2024 cited by 63

  12. On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward

    Authors: HeeSun Choi, Cindy Crump, Christian Duriez, Asher Elmquist, Gregory D. Hager, David K. Han, Frank J. Hearl, Jessica K. Hodgins, Abhinandan Jain, Frederick A. Leve, Chen Li, Franziska Meier, Dan Negruţ, Ludovic Righetti, Alberto Rodríguez, Jie Tan, Jeff Trinkle - National Academy of Sciences, Proceedings of the National Academy of Sciences 2020 cited by 157

  13. Barkour: Benchmarking Animal-level Agility with Quadruped Robots

    Authors: Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan - arXiv (Cornell University), CoRR 2023 cited by 61

  14. Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World

    Authors: Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine - International Conference on Robotics and Automation (ICRA) 2022 cited by 93

  15. SayTap: Language to Quadrupedal Locomotion

    Authors: Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada - CoRL 2023 cited by 52

  16. Aptamer–Protein Interactions: From Regulation to Biomolecular Detection

    Authors: Cailing Ji, Junyuan Wei, Lei Zhang, Xinru Hou, Jie Tan, Quan Yuan, Weihong Tan - Chemical Reviews 2023 cited by 188

  17. Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

    Authors: Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan - CoRL 2024 cited by 48

  18. Creative Robot Tool Use with Large Language Models

    Authors: Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao - arXiv (Cornell University), CoRR 2023 cited by 47

  19. Datasets and Benchmarks for Offline Safe Reinforcement Learning

    Authors: Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao - J. Data-centric Mach. Learn. Res. 2024 cited by 46

  20. Preparing for the Unknown: Learning a Universal Policy with Online System Identification

    Authors: Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk - Robotics: Science and Systems XIII 2017 cited by 221

  21. Learning to Walk in the Real World with Minimal Human Effort

    Authors: Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan - Conference on Robot Learning, CoRL 2020 cited by 105

  22. PPR-Meta: a tool for identifying phages and plasmids from metagenomic fragments using deep learning

    Authors: Zhencheng Fang, Jie Tan, Shu‐Fang Vivienne Wu, Mo Li, Congmin Xu, Zhongjie Xie, Huaiqiu Zhu - GigaScience 2019 cited by 198

  23. DeePhage: distinguishing virulent and temperate phage-derived sequences in metavirome data with a deep learning approach

    Authors: Shu‐Fang Vivienne Wu, Zhencheng Fang, Jie Tan, Mo Li, Chunhui Wang, Qian Guo, Congmin Xu, Xiaoqing Jiang, Huaiqiu Zhu - GigaScience 2021 cited by 108

  24. Learning to Learn Faster from Human Feedback with Language Model Predictive Control

    Authors: Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada - arXiv (Cornell University), CoRR 2024 cited by 32