Yi Zeng

Active 1982–2026

851
Papers
47,591
Citations
105
h-index
529
i10-index

Citations

Citations per year for Yi Zeng1971: 1 citations1977: 1 citations1985: 4 citations1987: 1 citations1988: 1 citations1990: 3 citations1991: 2 citations1992: 6 citations1993: 4 citations1994: 12 citations1995: 11 citations1996: 3 citations1997: 18 citations1998: 15 citations1999: 32 citations2000: 32 citations2001: 41 citations2002: 48 citations2003: 52 citations2004: 51 citations2005: 40 citations2006: 68 citations2007: 74 citations2008: 93 citations2009: 107 citations2010: 157 citations2011: 122 citations2012: 157 citations2013: 143 citations2014: 163 citations2015: 186 citations2016: 213 citations2017: 284 citations2018: 353 citations2019: 1,087 citations2020: 1,426 citations2021: 1,841 citations2022: 1,797 citations2023: 1,728 citations2024: 3,106 citations2025: 2,625 citations2026: 737 citations1972–1976: no citations, so these years are not shown1978–1984: no citations, so these years are not shown1986: no citations, so this year is not shown1989: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,207 citing papers, 29.8% of this breakdownUnited States: 3,429 citing papers, 16.5% of this breakdownUnited Kingdom: 961 citing papers, 4.6% of this breakdownGermany: 863 citing papers, 4.1% of this breakdownIndia: 537 citing papers, 2.6% of this breakdownCanada: 534 citing papers, 2.6% of this breakdownFrance: 501 citing papers, 2.4% of this breakdownAustralia: 493 citing papers, 2.4% of this breakdownItaly: 491 citing papers, 2.3% of this breakdownSouth Korea: 398 citing papers, 1.9% of this breakdownNetherlands: 376 citing papers, 1.8% of this breakdownJapan: 373 citing papers, 1.8% of this breakdown
0%29.8%Other 27.2%

Fields

  • Medicine24.8%
  • Biochemistry, Genetics and Molecular Biology21.1%
  • Computer Science18.2%
  • Engineering12.7%
  • Social Sciences4.3%
  • Environmental Science2.8%
  • Other16.1%

Topics

  • Metabolomics and Mass Spectrometry Studies1.8%
  • Adversarial Robustness in Machine Learning1.8%
  • Advanced Memory and Neural Computing1.5%
  • MicroRNA in disease regulation1.2%
  • Topic Modeling1.2%
  • Microbial Natural Products and Biosynthesis1%
  • Other91.5%

Coauthors

All papers

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  1. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

    Authors: , , , , , , - ICLR 2024 cited by 1,292

  2. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Erin E. Carlson, Bertrand Aigle, Charlotte Frydenlund Michelsen, Lars Jelsbak, Christian Sohlenkamp, Pavel A. Pevzner, Anna Edlund, Jeffrey S. McLean, Jörn Piel, Brian T. Murphy, Lena Gerwick, Chih‐Chuang Liaw, Yuliang Yang, Hans‐Ulrich Humpf, Maria Maansson, Robert A. Keyzers, Amy Sims, Andrew R. Johnson, Ashley M. Sidebottom, Brian E. Sedio, Andreas Klitgaard, Charles B. Larson, Cristopher A. Boya P., Daniel Torres‐Mendoza, David J. Gonzalez, Denise Brentan Silva, Lucas Maciel Mauriz Marques, Daniel P. Demarque, Eglė Pociūtė, Ellis C. O’Neill, Enora Briand, Eric J. N. Helfrich, Eve A. Granatosky, Evgenia Glukhov, Florian Ryffel, Hailey Houson, Hosein Mohimani, Jenan J. Kharbush, Yi Zeng, Julia A. Vorholt, Kenji L. Kurita, Pep Charusanti, Kerry L. McPhail, Kristian Fog Nielsen, Lisa Vuong, Maryam Elfeki, Matthew F. Traxler, Niclas Engene, Nobuhiro Koyama, Oliver B. Vining, Ralph S. Baric, Ricardo Silva, Samantha J. Mascuch, Sophie Tomasi, Stefan Jenkins, Venkat R. Macherla, Thomas Hoffman, Vinayak Agarwal, Philip G. Williams, Jingqui Dai, Ram P. Neupane, Joshua R. Gurr, Andrés Mauricio Caraballo‐Rodríguez, Anne Lamsa, Chen Zhang, Kathleen Dorrestein, Brendan M. Duggan, Jehad Almaliti, Pierre‐Marie Allard, Prasad Phapale and 27 more - Nature Biotechnology 2016 cited by 4,590

  3. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

    Authors: , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 282

  4. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors

    Authors: , , , , , , , , , , , , , , , - ICLR 2025 cited by 165

  5. Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

    Authors: , , , , , , , , , , , , , - Nature Electronics 2020 cited by 536

  6. International AI Safety Report

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Z. Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng - ArXiv.org, CoRR 2025 cited by 115

  7. Introducing v0.5 of the AI Safety Benchmark from MLCommons

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , James Goel, Usman Gohar, Sujata Goswami, Scott A. Hale, Wiebke Toussaint Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H Kumar, Kumar, Srijan, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor M. Lu, Luger, Sarah, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, E. Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren - arXiv (Cornell University), CoRR 2024 cited by 90

  8. Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest-old in China: a cohort study

    Authors: , , , , - The Lancet 2017 cited by 871

  9. Bioorthogonal catalytic patch

    Authors: , , , , , , , , , , , , , , , - Nature Nanotechnology 2021 cited by 244

  10. A Safe Harbor for AI Evaluation and Red Teaming

    Authors: , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 58

  11. AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies

    Authors: , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 57

  12. Deep-Full-Range : A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework

    Authors: , , , - IEEE Access 2019 cited by 258

  13. FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization

    Authors: , , , , - IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Trans. Very Large Scale Integr. Syst. 2023 cited by 66

  14. Salidroside attenuates neuronal ferroptosis by activating the Nrf2/HO1 signaling pathway in Aβ1-42-induced Alzheimer’s disease mice and glutamate-injured HT22 cells

    Authors: , , , , , , , - Chinese Medicine 2022 cited by 135

  15. Adversarial Unlearning of Backdoors via Implicit Hypergradient

    Authors: , , , , , - ICLR 2021 cited by 245

  16. Salidroside alleviates cognitive impairment by inhibiting ferroptosis via activation of the Nrf2/GPX4 axis in SAMP8 mice

    Authors: , , , , , , , , , , , , - Phytomedicine 2023 cited by 134

  17. AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 46

  18. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance

    Authors: , , , , - Philosophy & Technology 2020 cited by 174

  19. Exosomes rewire the cartilage microenvironment in osteoarthritis: from intercellular communication to therapeutic strategies

    Authors: , , , , , , , - International Journal of Oral Science 2022 cited by 117

  20. Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes

    Authors: , - Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022 cited by 61

  21. Toward deeper research and better policy for healthy aging – using the unique data of Chinese longitudinal healthy longevity survey

    Authors: - China Economic Journal 2012 cited by 468

  22. Transdermal cold atmospheric plasma-mediated immune checkpoint blockade therapy

    Authors: , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2020 cited by 259

  23. Epigallocatechin gallate-based nanoparticles with reactive oxygen species scavenging property for effective chronic periodontitis treatment

    Authors: , , , , , , , - Chemical Engineering Journal 2021 cited by 126

  24. A meta-analysis of genome-wide association studies identifies multiple longevity genes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jean‐François Deleuze, Rachel Duncan, Jessica D. Faul, Claudio Franceschi, Pilar Galán, Vilmundur Guðnason, Tamara B. Harris, Martijn Huisman, Mikko Hurme, Carol Jagger, Iris E. Jansen, Marja Jylhä, Mika Kähönen, David Karasik, Sharon L. R. Kardia, Andrew Kingston, Thomas B. L. Kirkwood, Lenore J. Launer, Terho Lehtimäki, Wolfgang Lieb, Leo‐Pekka Lyytikäinen, Carmen Martín-Ruiz, Junxia Min, Almut Nebel, Anne B. Newman, Chao Nie, Ellen A. Nøhr, Eric Orwoll, Thomas T. Perls, Michael A. Province, Bruce M. Psaty, Olli Raitakari, Marcel Reinders, Jean‐Marie Robine, Jerome I. Rotter, Paola Sebastiani, Jennifer A. Smith, Thorkild I. A. Sørensen, Kent D. Taylor, André G. Uitterlinden, Wiesje M. van der Flier, Sven J. van der Lee, Cornelia M. van Duijn, Diana van Heemst, James W. Vaupel, David R. Weir, Kenny Ye, Yi Zeng, Wanlin Zheng, Henne Holstege, Douglas P. Kiel, Kathryn L. Lunetta, P. Eline Slagboom, Joanne M. Murabito - Nature Communications 2019 cited by 404