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Ning Ding

Active 2001–2026

796
Papers
34,658
Citations
88
h-index
479
i10-index

Citations

Citations per year for Ning Ding1982: 1 citations1993: 2 citations1997: 2 citations1999: 1 citations2000: 1 citations2003: 1 citations2004: 2 citations2005: 3 citations2006: 2 citations2007: 4 citations2008: 1 citations2009: 14 citations2010: 21 citations2011: 31 citations2012: 45 citations2013: 86 citations2014: 133 citations2015: 170 citations2016: 253 citations2017: 259 citations2018: 230 citations2019: 510 citations2020: 927 citations2021: 1,182 citations2022: 1,457 citations2023: 1,768 citations2024: 3,302 citations2025: 3,979 citations2026: 1,985 citations2027: 2 citations1983–1992: no citations, so these years are not shown1994–1996: no citations, so these years are not shown1998: no citations, so this year is not shown2001–2002: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,647 citing papers, 35.8% of this breakdownUnited States: 2,707 citing papers, 17.1% of this breakdownUnited Kingdom: 635 citing papers, 4% of this breakdownGermany: 481 citing papers, 3% of this breakdownItaly: 395 citing papers, 2.5% of this breakdownCanada: 393 citing papers, 2.5% of this breakdownIndia: 380 citing papers, 2.4% of this breakdownAustralia: 374 citing papers, 2.4% of this breakdownJapan: 342 citing papers, 2.2% of this breakdownHong Kong: 326 citing papers, 2.1% of this breakdownSouth Korea: 309 citing papers, 2% of this breakdownFrance: 259 citing papers, 1.6% of this breakdown
0%35.8%Other 22.4%

Institutions

Fields

  • Computer Science41.5%
  • Medicine21.2%
  • Biochemistry, Genetics and Molecular Biology13.4%
  • Engineering8.7%
  • Environmental Science2%
  • Social Sciences1.8%
  • Other11.4%

Topics

  • Topic Modeling6.5%
  • Natural Language Processing Techniques3.4%
  • Multimodal Machine Learning Applications3.1%
  • Domain Adaptation and Few-Shot Learning1.3%
  • Explainable Artificial Intelligence (XAI)1.2%
  • Reinforcement Learning in Robotics1.2%
  • Other83.3%

Coauthors

All papers

Open in search
  1. Parameter-efficient fine-tuning of large-scale pre-trained language models

    Authors: Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun - Nature Machine Intelligence, Nat. Mac. Intell. 2023 cited by 906

  2. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

    Authors: Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Long Xiang, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zheng Leng Thai, Kaihuo Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun - arXiv (Cornell University), CoRR 2024 cited by 508

  3. UltraFeedback: Boosting Language Models with High-quality Feedback

    Authors: Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun - ICML 2024 cited by 465

  4. Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

    Authors: Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou - arXiv (Cornell University), CoRR 2023 cited by 428

  5. Process Reinforcement through Implicit Rewards

    Authors: Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Yuchen Zhang, Jiacheng Chen, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding - Trans. Mach. Learn. Res. 2026 cited by 393

  6. The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

    Authors: Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding - ArXiv.org, CoRR 2025 cited by 392

  7. TTRL: Test-Time Reinforcement Learning

    Authors: Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, Yuchen Zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou - NeurIPS 2025 cited by 224

  8. Tool Learning with Foundation Models

    Authors: Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun - arXiv (Cornell University), CoRR 2023 cited by 238

  9. GAN-based anomaly detection: A review

    Authors: Xuan Xia, Xizhou Pan, Nan Li, Xing He, Lin Ma, Xiaoguang Zhang, Ning Ding - Neurocomputing 2022 cited by 385

  10. A Survey of Reinforcement Learning for Large Reasoning Models

    Authors: Kaiyan Zhang, Yuxin Zuo, Bin He, Youbang Sun, Runze Liu, Jiang, Che, Yu‐Chen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Zeng, Sihang, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiangyang Xu, Jiaze Ma, Zhu, Xuekai, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Z. Y. Yuan, Junqi Gao, Li Dong, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou - ArXiv.org, CoRR 2025 cited by 159

  11. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

    Authors: Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou - ICML 2025 cited by 202

  12. Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

    Authors: Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun - arXiv (Cornell University), CoRR 2022 cited by 226

  13. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

    Authors: Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 264

  14. Advancing LLM Reasoning Generalists with Preference Trees

    Authors: Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun - ICLR 2025 cited by 208

  15. Vitamin D Receptor-Mediated Stromal Reprogramming Suppresses Pancreatitis and Enhances Pancreatic Cancer Therapy

    Authors: Mara H. Sherman, Ruth T. Yu, Dannielle D. Engle, Ning Ding, Annette R. Atkins, Hervé Tiriac, Eric A. Collisson, Frances Connor, Terry Van Dyke, С. В. Козлов, Philip Martin, Tiffany Tseng, David W. Dawson, Timothy R. Donahue, Atsushi Masamune, Tooru Shimosegawa, Minoti V. Apte, Jeremy S. Wilson, Beverly Ng, Sue Lynn Lau, Jenny E. Gunton, Geoffrey M. Wahl, Tony Hunter, Jeffrey A. Drebin, Peter J. O’Dwyer, Christopher Liddle, David A. Tuveson, Michael Downes, Ronald M. Evans - Cell 2014 cited by 1,137

  16. OpenPrompt: An Open-source Framework for Prompt-learning

    Authors: Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun - Meeting of the Association for Computational Linguistics: System Demonstrations, ACL (demo) 2022 cited by 207

  17. Free Process Rewards without Process Labels

    Authors: Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng - ICML 2025 cited by 164

  18. Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

    Authors: Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 106

  19. MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

    Authors: Tianyu Yu, Wang, Zefan, Chongyi Wang, Huang, Fuwei, Wing‐Kin Ma, Zhihui He, Cai, Tianchi, Wei Chen, Yuxiang Huang, Y. Xu H. Zhang L.M. Zhao, Bokai Xu, Cui, Junbo, Yingjing Xu, Liqing Ruan, Zhang, Luoyuan, Hanyu Liu, Tang, Jingkun, Hongyuan Liu, Guo, Qining, Wang Hu, Bo He, Jie Zhou, Jie Cai, Ji Qi, Guo, Zonghao, Chi Chen, Guoyang Zeng, Yuxuan Li, Ganqu Cui, Ning Ding, Han Xu, Yuan Yao, Zhiyuan Liu, Maosong Sun - ArXiv.org, CoRR 2025 cited by 100

  20. KoLA: Carefully Benchmarking World Knowledge of Large Language Models

    Authors: Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li - ICLR 2024 cited by 107

  21. Tool Learning with Foundation Models

    Authors: Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun - ACM Computing Surveys, ACM Comput. Surv. 2024 cited by 113

  22. SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

    Authors: Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding - ArXiv.org, CoRR 2025 cited by 84

  23. Hierarchy-Aware Global Model for Hierarchical Text Classification

    Authors: Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu - Meeting of the Association for Computational Linguistics, ACL 2020 cited by 179

  24. Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

    Authors: Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun - Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 cited by 76