Chi Chen

Active 1990–2026

Also published as
Chi, Chen
435
Papers
44,763
Citations
101
h-index
292
i10-index

Citations

Citations per year for Chi Chen1972: 1 citations1990: 1 citations1991: 3 citations1992: 5 citations1993: 3 citations1994: 3 citations1995: 5 citations1996: 5 citations1997: 3 citations1998: 5 citations1999: 19 citations2000: 36 citations2001: 64 citations2002: 89 citations2003: 92 citations2004: 108 citations2005: 142 citations2006: 159 citations2007: 173 citations2008: 176 citations2009: 177 citations2010: 154 citations2011: 173 citations2012: 175 citations2013: 140 citations2014: 168 citations2015: 187 citations2016: 240 citations2017: 254 citations2018: 348 citations2019: 658 citations2020: 989 citations2021: 1,072 citations2022: 1,141 citations2023: 1,139 citations2024: 1,605 citations2025: 1,240 citations2026: 411 citations2027: 1 citations1973–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,921 citing papers, 26.4% of this breakdownUnited States: 3,096 citing papers, 20.8% of this breakdownUnited Kingdom: 664 citing papers, 4.5% of this breakdownGermany: 561 citing papers, 3.8% of this breakdownSouth Korea: 417 citing papers, 2.8% of this breakdownItaly: 398 citing papers, 2.7% of this breakdownAustralia: 395 citing papers, 2.7% of this breakdownIndia: 392 citing papers, 2.6% of this breakdownCanada: 390 citing papers, 2.6% of this breakdownFrance: 326 citing papers, 2.2% of this breakdownSpain: 297 citing papers, 2% of this breakdownJapan: 289 citing papers, 1.9% of this breakdown
0%26.4%Other 25%

Fields

  • Biochemistry, Genetics and Molecular Biology21.8%
  • Medicine21.6%
  • Computer Science13.8%
  • Materials Science9.2%
  • Engineering8.9%
  • Environmental Science8.6%
  • Other16.1%

Topics

  • Machine Learning in Materials Science2.5%
  • Genomics, phytochemicals, and oxidative stress2.5%
  • Gut microbiota and health1.9%
  • Computational Drug Discovery Methods1.7%
  • Remote Sensing in Agriculture1.3%
  • Multimodal Machine Learning Applications1.2%
  • Other88.9%

Coauthors

All papers

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  1. Recent advances and applications of deep learning methods in materials science

    Authors: , , , , , , , , , , , , - npj Computational Materials 2022 cited by 1,057

  2. Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

    Authors: , , , , - Chemistry of Materials 2019 cited by 1,418

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Han Xu, Yuan Yao, Zhiyuan Liu, Maosong Sun - ArXiv.org, CoRR 2025 cited by 100

  4. Characteristics, drivers and feedbacks of global greening

    Authors: , , , , , , , , , , , - Nature Reviews Earth & Environment 2019 cited by 2,074

  5. StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 78

  6. China and India lead in greening of the world through land-use management

    Authors: , , , , , , , , , , , , , , - Nature Sustainability 2019 cited by 2,885

  7. Low-Fat, High-Fiber Diet Reduces Markers of Inflammation and Dysbiosis and Improves Quality of Life in Patients With Ulcerative Colitis

    Authors: , , , , , , , , , , , , , , , , , , , , - Clinical Gastroenterology and Hepatology 2020 cited by 302

  8. Predicting equilibrium distributions for molecular systems with deep learning

    Authors: , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2024 cited by 127

  9. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

    Authors: , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 56

  10. Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 56

  11. Motion-Driven Visual Tempo Learning for Video-Based Action Recognition

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 cited by 93

  12. Performance and Cost Assessment of Machine Learning Interatomic Potentials

    Authors: , , , , , , , , , , - The Journal of Physical Chemistry A 2020 cited by 927

  13. Associations between abdominal obesity indices and diabetic complications: Chinese visceral adiposity index and neck circumference

    Authors: , , , , , , , , , , - Cardiovascular Diabetology 2020 cited by 310

  14. AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP (System Demonstrations) 2025 cited by 44

  15. A Highly Sensitive and Selective Near-Infrared Fluorescent Probe for Imaging Peroxynitrite in Living Cells and Drug-Induced Liver Injury Mice

    Authors: , , , , , , , , , , - Analytical Chemistry 2023 cited by 82

  16. A Critical Review of Machine Learning of Energy Materials

    Authors: , , , , , - Advanced Energy Materials 2020 cited by 565

  17. Long-term night shift work is associated with the risk of atrial fibrillation and coronary heart disease

    Authors: , , , , , , , , , , , - European Heart Journal 2021 cited by 218

  18. Vascular smooth muscle cell senescence and age-related diseases: State of the art

    Authors: , , , , , , - Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 2018 cited by 162

  19. Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning

    Authors: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 44

  20. Learning properties of ordered and disordered materials from multi-fidelity data

    Authors: , , , , - Nature Computational Science, Nat. Comput. Sci. 2021 cited by 189

  21. Multifunctional conductive hydrogels and their applications as smart wearable devices

    Authors: , , , , , , , - Journal of Materials Chemistry B 2021 cited by 315

  22. Opioid-induced gut microbial disruption and bile dysregulation leads to gut barrier compromise and sustained systemic inflammation

    Authors: , , , , , , , , , , - Mucosal Immunology 2016 cited by 268

  23. Lipophagy-derived fatty acids undergo extracellular efflux via lysosomal exocytosis

    Authors: , , , , , - Autophagy 2020 cited by 130

  24. RoboCOIN: An Open-Sourced Bimanual Robotic Data COllection for INtegrated Manipulation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang, Guocai Yao - ArXiv.org, CoRR 2025 cited by 28