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Jeffrey Wu

Active 1989–2026

31
Papers
95,831
Citations
19
h-index
23
i10-index

Citations

Citations per year for Jeffrey Wu1988: 1 citations1991: 1 citations1992: 2 citations1994: 1 citations1997: 2 citations1998: 1 citations1999: 3 citations2000: 3 citations2001: 1 citations2002: 4 citations2003: 4 citations2004: 2 citations2005: 2 citations2006: 3 citations2007: 2 citations2008: 2 citations2009: 4 citations2010: 6 citations2011: 5 citations2012: 4 citations2013: 11 citations2014: 6 citations2015: 10 citations2016: 2 citations2017: 3 citations2018: 4 citations2019: 13 citations2020: 390 citations2021: 1,611 citations2022: 1,426 citations2023: 3,492 citations2024: 5,090 citations2025: 7,132 citations2026: 2,820 citations1989–1990: no citations, so these years are not shown1993: no citations, so this year is not shown1995–1996: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,893 citing papers, 28.6% of this breakdownChina: 2,550 citing papers, 18.8% of this breakdownUnited Kingdom: 951 citing papers, 7% of this breakdownGermany: 663 citing papers, 4.9% of this breakdownCanada: 540 citing papers, 4% of this breakdownHong Kong: 414 citing papers, 3% of this breakdownSingapore: 346 citing papers, 2.5% of this breakdownAustralia: 309 citing papers, 2.3% of this breakdownJapan: 303 citing papers, 2.2% of this breakdownSouth Korea: 288 citing papers, 2.1% of this breakdownSwitzerland: 260 citing papers, 1.9% of this breakdownFrance: 252 citing papers, 1.9% of this breakdown
0%28.6%Other 20.8%

Institutions

Fields

  • Computer Science73.3%
  • Engineering5.3%
  • Social Sciences4.3%
  • Medicine4%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • Decision Sciences2.2%
  • Other8.5%

Topics

  • Topic Modeling13.1%
  • Natural Language Processing Techniques8.4%
  • Multimodal Machine Learning Applications4.6%
  • Domain Adaptation and Few-Shot Learning2.5%
  • Explainable Artificial Intelligence (XAI)2.4%
  • Advanced Neural Network Applications2%
  • Other67%

Coauthors

All papers

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  1. Scaling Laws for Neural Language Models

    Authors: Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei - arXiv (Cornell University), CoRR 2020 cited by 5,945

  2. Language Models are Few-Shot Learners

    Authors: Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei - NeurIPS 2020 cited by 61,040

  3. Training language models to follow instructions with human feedback

    Authors: Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 22,700

  4. Fine-Tuning Language Models from Human Preferences

    Authors: Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving - arXiv (Cornell University), CoRR 2019 cited by 2,015

  5. Scaling and evaluating sparse autoencoders

    Authors: Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu - ICLR 2025 cited by 537

  6. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

    Authors: Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu - ICML 2024 cited by 510

  7. Open Problems in Mechanistic Interpretability

    Authors: Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath - Trans. Mach. Learn. Res. 2025 cited by 184

  8. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration

    Authors: A. O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine W. Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jae‐Hyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu and 179 more - IEEE International Conference on Robotics and Automation (ICRA) 2024 cited by 149

  9. Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

    Authors: Jianlan Luo, Charles Xu, Jeffrey Wu, Sergey Levine - Science Robotics, Sci. Robotics 2025 cited by 57

  10. Discovery and Preclinical Pharmacology of NX-2127, an Orally Bioavailable Degrader of Bruton’s Tyrosine Kinase with Immunomodulatory Activity for the Treatment of Patients with B Cell Malignancies

    Authors: Daniel Robbins, Mark Noviski, Ying Siow Tan, Zef A. Könst, Aileen Kelly, P Auger, Nivetha Brathaban, Robert Cass, Ming Liang Chan, Ganesh Cherala, Matthew C. Clifton, Stefan Gajewski, Timothy G. Ingallinera, Dane E. Karr, Daisuke Kato, Jun Ma, Jenny McKinnell, Joel McIntosh, Jeff Mihalic, Brent Murphy, Panga Jaipal Reddy, Ge Peng, Janine Powers, Luz Perez, Ryan B. Rountree, Austin Tenn-McClellan, Arthur Sands, Dahlia R. Weiss, Jeffrey Wu, Jordan Ye, Cristiana Guiducci, Gwenn M. Hansen, Frederick Cohen - Journal of Medicinal Chemistry 2024 cited by 96

  11. FMB: A functional manipulation benchmark for generalizable robotic learning

    Authors: Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine - The International Journal of Robotics Research, Int. J. Robotics Res. 2024 cited by 32

  12. Generative Pretraining From Pixels

    Authors: Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, Ilya Sutskever - International Conference on Machine Learning, ICML 2020 cited by 1,831

  13. Opioids and Chronic Pain: An Analytic Review of the Clinical Evidence

    Authors: Stephen E. Nadeau, Jeffrey Wu, Richard A Lawhern - Frontiers in Pain Research 2021 cited by 102

  14. Nx-2127, a Degrader of BTK and IMiD Neosubstrates, for the Treatment of B-Cell Malignancies

    Authors: Daniel Robbins, Aileen Kelly, May Tan, Joel McIntosh, Jeffrey Wu, Zef Konst, Daisuke Kato, Ge Peng, Jeff Mihalic, Dahlia R. Weiss, Luz Perez, Jennifer Tung, Anna Kolobova, Sasha Borodovsky, Ryan B. Rountree, Austin Tenn-McClellan, Mark Noviski, Jordan Ye, Steve Basham, Timothy Ingallinera, Jenny McKinnell, Dane E. Karr, Janine Powers, Cristiana Guiducci, Arthur Sands - Blood 2020 cited by 46

  15. Proceedings of The ACM Collective Intelligence Conference, CI 2023, Delft, Netherlands, November 6-9, 2023

    Authors: Johan Ugander, Amy Zhang, Vili Lehdonvirta, Natali Helberger, Geoff Mulgan, Sherry Wu, Csar Hidalgo, Kevin Crowston, Steven Dow, Emma Spiro, Tanja Aitamurto, Seth Cooper, Steven Gray, Jeff Howe, Sang Lee, Thomas Malone, Vikram Mohanty, Lisa O', Lex Paulson, Rajiv Sethi, Divya Siddarth, Mark Whiting, Rafik Hadfi, Kyriakos Kyriakou, Andrew Beers, Mitchell Gordon, Yen-Chia Hsu, Anna Kawakami, Lu Sun, Diego Sukrit Venkatagiri, Abraham Bernstein, Nikki Kittur, Natalia Levina, Jeff Nickerson, Beth Noveck, Gary Olson, Paul Resnick, Christoph Riedl, Anita Woolley, Alice Cai, Steven Rick, Jennifer Heyman, Yanxia Zhang, Alexandre Filipowicz, Matthew Hong, Matthew Klenk, Hadas Kotek, My Dieu, Nguyen, Gharooni Golnar, Fard, Michael Iuzzolino, Orit Peleg, Kurt Luther, Luke Guerdan, Yanghuidi Cheng, Matthew Lee, Scott Carter, Nikos Arechiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein, Abdullah Almaatouq, Joshua Becker, James Houghton, Nicolas Paton, Duncan Watts, Mark Whiting, C Oloff, Biermann, F Ning, Dongwook Ma, Yoon, Ning F Oloff C Biermann, Dongwook Ma, Yoon, Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray and 1,169 more - CI 2023 cited by 11

  16. Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)

    Authors: Ting-Hao Huang, Vipul Raheja, Dongyeop Grammarly, Daniel Gissin, Mina Lee, Katy Ilonka Gero, Jordan Huffaker, Hwaran Lee, Atr Lab, Risako Owan, Shirley Anugrah Hayati, Chieh-Yang Gatech, Alex Tamkin, Gabriel Poesia, Dae Joon Kim, Joon Sik Park, Alex Calderwood, Kenneth J. Arnold, Melanie Subbiah, Chris Kedzie, Rasa Du, Dhruv Kumar, Adela Schneider, Andreas Madsack, Johanna Heininger, Ching‐Yi Chen, Robert Weißgraeber, Charlotte Li, Lydia B. Chilton, Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Tom Brown, Benjamin Mann, Nick Ryder, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric J. Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Matti Wiegmann, Michael Völske, B. Stein, Martin Potthast, Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu, Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke, Max Kreminski, Chris Martens, Vivian Liu, Nayu Liu, Wenjing Han, Guangcan Liu, Peng Zhou, Ran Zhang, Xiaorui Wang, Huabin Ruan, Guillermo Bernal, C ̧akir, Dîlan Canan, Elena L. Glassman, Vivian Emily Gunser, Tae Wan Kim, Zae Myung Kim, Li Charlotte, C akir and 1,118 more - 2022 cited by 15

  17. Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

    Authors: Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine - CoRL 2023 cited by 4

  18. Matching donor to recipient in lung transplantation: How much does size matter?

    Authors: David P. Mason, Lillian H. Batizy, Jeffrey Wu, Edward R. Nowicki, Sudish C. Murthy, Ann McNeill, Marie Budev, Atul C. Mehta, Gösta Pettersson, Eugene H. Blackstone - Journal of Thoracic and Cardiovascular Surgery 2009 cited by 78

  19. Targeted Malicious Email Detection Using Hypervisor-Based Dynamic Analysis and Ensemble Learning

    Authors: Jian Zhang, Wenzhen Li, Liangyi Gong, Zhaojun Gu, Jeffrey Wu - IEEE Global Communications Conference (GLOBECOM) 2019 cited by 5

  20. Identification of a 4-microRNA Signature for Clear Cell Renal Cell Carcinoma Metastasis and Prognosis

    Authors: Xiwei Wu, Lihong Weng, Xuejun Li, Chao Guo, Sumanta K. Pal, Jennifer Jin, Yuping Li, Rebecca A. Nelson, Bing Mu, Susan Onami, Jeffrey Wu, Nora Ruel, Sharon P. Wilczynski, Hanlin Gao, Maricela Covarrubias, Robert A. Figlin, Lawrence M. Weiss, Huiqing Wu - PLoS ONE 2012 cited by 167

  21. Mice Lacking the Guanylyl Cyclase C Receptor Are Resistant to STa-Induced Intestinal Secretion

    Authors: Elizabeth A. Mann, M. Lynn Jump, Jeffrey Wu, Elizabeth Yee, Ralph A. Giannella - Biochemical and Biophysical Research Communications 1997 cited by 136

  22. Learning to summarize with human feedback

    Authors: Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano - NeurIPS 2020 cited by 121

  23. Correct Shading of Regularized CSG Solids Using a Depth-Interval Buffer

    Authors: Jaroslaw R. Rossignac, Jeffrey Wu - Advances in Computer Graphics Hardware V 1990 cited by 19

  24. BOTS: a constraint-based component system for synthesizing scalable software systems

    Authors: Raju Pandey, Jeffrey Wu - SIGPLAN/SIGBED conference on Language, compilers, and tool support for embedded systems, LCTES 2006 cited by 11