Bowen Zhou

Active 1998–2026

444
Papers
24,550
Citations
71
h-index
225
i10-index

Citations

Citations per year for Bowen Zhou1989: 2 citations1990: 1 citations1999: 1 citations2000: 2 citations2001: 3 citations2002: 1 citations2003: 10 citations2004: 17 citations2005: 25 citations2006: 43 citations2007: 45 citations2008: 53 citations2009: 36 citations2010: 43 citations2011: 64 citations2012: 57 citations2013: 57 citations2014: 46 citations2015: 65 citations2016: 268 citations2017: 479 citations2018: 881 citations2019: 1,306 citations2020: 1,437 citations2021: 1,445 citations2022: 1,013 citations2023: 1,044 citations2024: 1,422 citations2025: 2,886 citations2026: 2,524 citations2027: 2 citations1991–1998: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,334 citing papers, 35.2% of this breakdownUnited States: 2,292 citing papers, 18.6% of this breakdownUnited Kingdom: 588 citing papers, 4.8% of this breakdownGermany: 406 citing papers, 3.3% of this breakdownIndia: 364 citing papers, 3% of this breakdownAustralia: 329 citing papers, 2.7% of this breakdownCanada: 318 citing papers, 2.6% of this breakdownJapan: 279 citing papers, 2.3% of this breakdownHong Kong: 270 citing papers, 2.2% of this breakdownSingapore: 249 citing papers, 2% of this breakdownFrance: 232 citing papers, 1.9% of this breakdownSouth Korea: 226 citing papers, 1.8% of this breakdown
0%35.2%Other 19.6%

Fields

  • Computer Science77%
  • Biochemistry, Genetics and Molecular Biology5.8%
  • Engineering5.1%
  • Medicine3.9%
  • Social Sciences1.9%
  • Decision Sciences1.1%
  • Other5.2%

Topics

  • Topic Modeling14.9%
  • Natural Language Processing Techniques9.3%
  • Multimodal Machine Learning Applications6.5%
  • Advanced Text Analysis Techniques2.8%
  • Advanced Graph Neural Networks2.4%
  • Domain Adaptation and Few-Shot Learning2.2%
  • Other61.9%

Coauthors

All papers

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  1. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo - ArXiv.org, CoRR 2025 cited by 1,013

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

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 428

  3. Process Reinforcement through Implicit Rewards

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Trans. Mach. Learn. Res. 2026 cited by 393

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

    Authors: , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 392

  5. Trustworthy AI: From Principles to Practices

    Authors: , , , , , , , - ACM Computing Surveys, ACM Comput. Surv. 2022 cited by 488

  6. TTRL: Test-Time Reinforcement Learning

    Authors: , , , , , , , , , , , , , , , - NeurIPS 2025 cited by 224

  7. End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2019 cited by 658

  8. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

    Authors: , , , , - SIGNLL Conference on Computational Natural Language Learning, CoNLL 2016 cited by 2,209

  9. A Survey of Reinforcement Learning for Large Reasoning Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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

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

    Authors: , , , , , , , , - ICML 2025 cited by 202

  11. Advancing LLM Reasoning Generalists with Preference Trees

    Authors: , , , , , , , , , , , , , , , - ICLR 2025 cited by 208

  12. Free Process Rewards without Process Labels

    Authors: , , , , , , , , - ICML 2025 cited by 164

  13. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

    Authors: , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 112

  14. A Structured Self-Attentive Sentence Embedding

    Authors: , , , , , , - International Conference on Learning Representations, ICLR (Poster) 2017 cited by 2,315

  15. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

    Authors: , , , , , , , - ArXiv.org, CoRR 2025 cited by 109

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

    Authors: , , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 106

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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

  18. Dynamic Event-Based Tracking Control of Boiler Turbine Systems With Guaranteed Performance

    Authors: , , , , - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2023 cited by 119

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

    Authors: , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 84

  20. GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

    Authors: , , , , , , , , , , - AAAI Conference on Artificial Intelligence 2026 cited by 82

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

    Authors: , , , , , , , , , , , , - ACL (Findings) 2026 cited by 94

  22. From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 66

  23. A survey of intelligent transmission line inspection based on unmanned aerial vehicle

    Authors: , , , - Artificial Intelligence Review, Artif. Intell. Rev. 2022 cited by 215

  24. InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 61