Nan Du

Active 2006–2026

278
Papers
32,712
Citations
56
h-index
149
i10-index

Citations

Citations per year for Nan Du1967: 1 citations1994: 1 citations2003: 1 citations2007: 15 citations2008: 20 citations2009: 37 citations2010: 50 citations2011: 57 citations2012: 74 citations2013: 81 citations2014: 119 citations2015: 172 citations2016: 158 citations2017: 182 citations2018: 256 citations2019: 468 citations2020: 520 citations2021: 657 citations2022: 846 citations2023: 2,938 citations2024: 4,244 citations2025: 3,570 citations2026: 1,463 citations1968–1993: no citations, so these years are not shown1995–2002: no citations, so these years are not shown2004–2006: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,888 citing papers, 25.9% of this breakdownUnited States: 2,768 citing papers, 24.9% of this breakdownUnited Kingdom: 606 citing papers, 5.4% of this breakdownGermany: 405 citing papers, 3.6% of this breakdownCanada: 375 citing papers, 3.4% of this breakdownAustralia: 327 citing papers, 2.9% of this breakdownHong Kong: 318 citing papers, 2.9% of this breakdownSingapore: 285 citing papers, 2.6% of this breakdownIndia: 263 citing papers, 2.4% of this breakdownSouth Korea: 236 citing papers, 2.1% of this breakdownFrance: 210 citing papers, 1.9% of this breakdownItaly: 209 citing papers, 1.9% of this breakdown
0%25.9%Other 20.1%

Fields

  • Computer Science66.3%
  • Medicine6.3%
  • Engineering4.9%
  • Physics and Astronomy4.9%
  • Biochemistry, Genetics and Molecular Biology4.8%
  • Social Sciences3.4%
  • Other9.4%

Topics

  • Topic Modeling12.4%
  • Natural Language Processing Techniques8.1%
  • Multimodal Machine Learning Applications4.5%
  • Complex Network Analysis Techniques1.9%
  • Domain Adaptation and Few-Shot Learning1.6%
  • Advanced Graph Neural Networks1.5%
  • Other70%

Coauthors

All papers

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  1. ReAct: Synergizing Reasoning and Acting in Language Models

    Authors: , , , , , , - ICLR 2023 cited by 8,935

  2. PaLM: Scaling Language Modeling with Pathways

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel - J. Mach. Learn. Res. 2023 cited by 3,959

  3. PaLM 2 Technical Report

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Siddhartha Brahma, Kevin R. Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vlad Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier García, Sebastian Gehrmann, Lucas Gonzalez, Guy Gur-Ari, Steven C. Hand, Hadi Hashemi, Le Hou, J. J. Howland, Andrea Hu, Jeffrey Hui, Jeremy Hurwitz, Michael Isard, Abe Ittycheriah, Matthew Jagielski, Wenhao Jia, Kathleen Kenealy, Maxim Krikun, Sneha Kudugunta, Chang Lan, Katherine Lee, Benjamin Lee, Eric Li, Music Li, Wei Li, YaGuang Li, Jian Li, Hyeontaek Lim, Hanzhao Lin, Zhongtao Liu, Frederick Liu, Marcello Maggioni, Aroma Mahendru, Joshua Maynez, Vedant Misra, Maysam Moussalem, Zachary Nado, John Nham, Eric C. Ni, A. Nystrom, Alicia Parrish, Marie Pellat, Martin Poláček, Alex Polozov, Reiner Pope, Siyuan Qiao, Emily Reif, Bryan Richter, Parker Riley, Alex Castro Ros, Aurko Roy, Brennan Saeta and 28 more - arXiv (Cornell University), CoRR 2023 cited by 1,627

  4. Finetuned Language Models Are Zero-Shot Learners

    Authors: , , , , , , , , - ICLR 2022 cited by 5,220

  5. Designing Effective Sparse Expert Models

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2022 cited by 407

  6. MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alexander Toshev, Yinfei Yang - arXiv (Cornell University), CoRR 2024 cited by 223

  7. Apple Intelligence Foundation Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Mamunur Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew J. Hansen, Ankur Jain, Anupama Mann Anupama, A. T. Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jiménez-Morales, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura D. Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng and 56 more - arXiv (Cornell University), CoRR 2024 cited by 130

  8. GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - ICML 2022 cited by 1,265

  9. Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    Authors: , , , , , - SIGKDD International Conference on Knowledge Discovery and Data Mining 2016 cited by 554

  10. Mixture-of-Experts with Expert Choice Routing

    Authors: , , , , , , , , , - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 813

  11. Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , - ICLR 2024 cited by 90

  12. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

    Authors: , , , , , , , , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 393

  13. Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus

    Authors: , , , , , , , , , , , , - Gut 2018 cited by 454

  14. AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

    Authors: , , , , , , , , - Medical Physics 2018 cited by 526

  15. MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Lecture notes in computer science, ECCV (29) 2024 cited by 46

  16. Helicobacter pylori-induced NAT10 stabilizes MDM2 mRNA via RNA acetylation to facilitate gastric cancer progression

    Authors: , , , , , , , , , , - Journal of Experimental & Clinical Cancer Research 2023 cited by 99

  17. S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

    Authors: , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 42

  18. Are Large Language Models Good Prompt Optimizers?

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 38

  19. Everyone Deserves A Reward: Learning Customized Human Preferences

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 38

  20. Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game

    Authors: , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 29

  21. Self-playing Adversarial Language Game Enhances LLM Reasoning

    Authors: , , , , , , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 110

  22. STAT3/LINC00671 axis regulates papillary thyroid tumor growth and metastasis via LDHA-mediated glycolysis

    Authors: , , , , , , , , , , , , , , - Cell Death and Disease 2021 cited by 105

  23. Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning

    Authors: , , , , , , , , , , - ACS Sensors 2022 cited by 80

  24. Multi-Grained Named Entity Recognition

    Authors: , , , , , , , , - Meeting of the Association for Computational Linguistics, ACL (1) 2019 cited by 96