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Linfeng Zhang

Active 2003–2026

380
Papers
22,958
Citations
59
h-index
197
i10-index

Citations

Citations per year for Linfeng Zhang2004: 1 citations2005: 4 citations2006: 5 citations2007: 11 citations2008: 16 citations2009: 13 citations2010: 15 citations2011: 16 citations2012: 21 citations2013: 28 citations2014: 25 citations2015: 21 citations2016: 26 citations2017: 33 citations2018: 79 citations2019: 228 citations2020: 483 citations2021: 565 citations2022: 635 citations2023: 737 citations2024: 1,271 citations2025: 1,900 citations2026: 1,379 citations2027: 1 citations

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,356 citing papers, 34.7% of this breakdownUnited States: 1,289 citing papers, 19% of this breakdownUnited Kingdom: 356 citing papers, 5.2% of this breakdownGermany: 278 citing papers, 4.1% of this breakdownJapan: 152 citing papers, 2.2% of this breakdownCanada: 147 citing papers, 2.2% of this breakdownSouth Korea: 140 citing papers, 2.1% of this breakdownHong Kong: 139 citing papers, 2.1% of this breakdownAustralia: 138 citing papers, 2% of this breakdownItaly: 127 citing papers, 1.9% of this breakdownSwitzerland: 117 citing papers, 1.7% of this breakdownFrance: 105 citing papers, 1.5% of this breakdown
0%34.7%Other 21.3%

Institutions

Fields

  • Computer Science40.4%
  • Medicine17.2%
  • Materials Science14.2%
  • Biochemistry, Genetics and Molecular Biology7.1%
  • Engineering6.9%
  • Physics and Astronomy3.5%
  • Other10.7%

Topics

  • Machine Learning in Materials Science6.1%
  • Computational Drug Discovery Methods3.4%
  • Multimodal Machine Learning Applications3.4%
  • Topic Modeling3.1%
  • Generative Adversarial Networks and Image Synthesis2.9%
  • Protein Structure and Dynamics2.2%
  • Other78.9%

Coauthors

All papers

Open in search
  1. Scientific discovery in the age of artificial intelligence

    Authors: Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik - Nature, Nat. 2023 cited by 1,726

  2. Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics

    Authors: Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, E Weinan - Physical Review Letters 2018 cited by 2,211

  3. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

    Authors: Han Wang, Linfeng Zhang, Jiequn Han, E Weinan - Computer Physics Communications, Comput. Phys. Commun. 2018 cited by 2,034

  4. Status of Hypertension in China

    Authors: Zengwu Wang, Zuo Chen, Linfeng Zhang, Xin Wang, Guang Hao, Zugui Zhang, Lan Shao, Ye Tian, Ying Dong, Congyi Zheng, Jiali Wang, Manlu Zhu, William S. Weintraub, Runlin Gao, On behalf of the China Hypertension Survey Investigators* - Circulation 2018 cited by 1,807

  5. dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

    Authors: Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qi Wei, Shaobo Wang, Linfeng Zhang, Linfeng Zhang - arXiv (Cornell University), CoRR 2025 cited by 110

  6. MemOS: A Memory OS for AI System

    Authors: Zhiyu Li, Chunyan Xi, Chunyu Li, Chen, Ding, Chen, Boyu, Shichao Song, Simin Niu, Hanyu Wang, Jia‐Wei Yang, Chen Tang, Qingchen Yu, J. Zhao, Yezhaohui Wang, Peng Liu, Lin, Zehao, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Tao, Zhen, Lai, Huayi, Hao Wu, Bo Tang, Wang, Zhengren, Fan, Zhaoxin, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Wang, Haofen, Hongkang Yang, Wentao Zhang, Zhi‐Qin John Xu, Siheng Chen, Feiyu Xiong - ArXiv.org, CoRR 2025 cited by 106

  7. Self-Distillation: Towards Efficient and Compact Neural Networks

    Authors: Linfeng Zhang, Chenglong Bao, Kaisheng Ma - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 cited by 213

  8. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

    Authors: Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He - ArXiv.org, CoRR 2025 cited by 92

  9. Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More

    Authors: Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang - Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 cited by 77

  10. Controllable Video Generation: A Survey

    Authors: Yue Ma, Kun Feng, Zhongyuan Hu, Xinyu Wang, Yucheng Wang, M. Zheng, Wang, Bingyuan, Wang, Qinghe, Xiongjun He, Wang, Hongfa, Chenyang Zhu, Hongyu Liu, Yingqing He, Zeyu Wang, Zhifeng Li, Xiu Li, Han, Sirui, Guo, Yike, W. Liu, Dan Xu, Linfeng Zhang, Qifeng Chen - ArXiv.org, CoRR 2025 cited by 76

  11. Accelerating Diffusion Transformers with Token-wise Feature Caching

    Authors: Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang - ICLR 2025 cited by 129

  12. SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation

    Authors: Shuang Cheng, Yihan Bian, Dawei Liu, Yuhua Jiang, Yihao Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou - ACL (Findings) 2026 cited by 94

  13. Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

    Authors: Ting Liu, Liangtao Shi, Richang Hong, Yue Hu, Quanjun Yin, Linfeng Zhang - arXiv (Cornell University), CoRR 2024 cited by 69

  14. DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

    Authors: Yuzhi Zhang, Haidi Wang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Han Wang, E Weinan - Computer Physics Communications, Comput. Phys. Commun. 2020 cited by 897

  15. EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

    Authors: Yang, Yantai, Yuhao Wang, Zichen Wen, Zhongwei Luo, Chang Zou, Zhipeng Zhang, Chuan Wen, Linfeng Zhang - NeurIPS 2025 cited by 59

  16. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

    Authors: Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 107

  17. From Reusing to Forecasting: Accelerating Diffusion Models With Taylorseers

    Authors: Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 cited by 51

  18. A deep potential model with long-range electrostatic interactions

    Authors: Linfeng Zhang, Han Wang, Maria Carolina Muniz, Athanassios Z. Panagiotopoulos, Roberto Car, E Weinan - The Journal of Chemical Physics 2022 cited by 227

  19. Prevalence of Heart Failure and Left Ventricular Dysfunction in China: The China Hypertension Survey, 2012–2015

    Authors: Guang Hao, Xin Wang, Zuo Chen, Linfeng Zhang, Yuhui Zhang, Bing-qi Wei, Congyi Zheng, Yuting Kang, Linlin Jiang, Zhenhui Zhu, Jian Zhang, Zengwu Wang, Runlin Gao - European Journal of Heart Failure 2019 cited by 415

  20. SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?

    Authors: Chai, Jingyi, Shuo Tang, Rui Ye, Yuwen Du, Xinyu Zhu, Mengcheng Zhou, Yanfeng Wang, E Weinan, Yuzhi Zhang, Linfeng Zhang, Siheng Chen - ArXiv.org, CoRR 2025 cited by 48

  21. Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

    Authors: Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma - ICLR 2023 cited by 168

  22. REEF: Representation Encoding Fingerprints for Large Language Models

    Authors: Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao - ICLR 2025 cited by 46

  23. Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

    Authors: Wei, Qingyan, Yaojie Zhang, Zhiyuan Liu, Zeng, Puyu, Wang, Yuxuan, Qi, Biqing, Dongrui Liu, Linfeng Zhang - arXiv (Cornell University), CoRR 2025 cited by 45

  24. Active learning of uniformly accurate interatomic potentials for materials simulation

    Authors: Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E - Physical Review Materials 2019 cited by 496