Maosong Sun

Active 1995–2026

Also published as
Maosong, Sun
698
Papers
49,949
Citations
96
h-index
389
i10-index

Citations

Citations per year for Maosong Sun1967: 1 citations1969: 1 citations1984: 2 citations1994: 2 citations1996: 1 citations1997: 3 citations1998: 4 citations2000: 3 citations2001: 4 citations2002: 4 citations2003: 8 citations2004: 14 citations2005: 12 citations2006: 19 citations2007: 21 citations2008: 20 citations2009: 37 citations2010: 50 citations2011: 58 citations2012: 82 citations2013: 126 citations2014: 168 citations2015: 220 citations2016: 390 citations2017: 737 citations2018: 1,378 citations2019: 2,156 citations2020: 2,681 citations2021: 3,070 citations2022: 2,492 citations2023: 3,048 citations2024: 4,482 citations2025: 7,192 citations2026: 3,369 citations2027: 2 citations1968: no citations, so this year is not shown1970–1983: no citations, so these years are not shown1985–1993: no citations, so these years are not shown1995: no citations, so this year is not shown1999: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 9,581 citing papers, 42.2% of this breakdownUnited States: 3,709 citing papers, 16.3% of this breakdownUnited Kingdom: 1,008 citing papers, 4.4% of this breakdownAustralia: 731 citing papers, 3.2% of this breakdownHong Kong: 723 citing papers, 3.2% of this breakdownSingapore: 631 citing papers, 2.8% of this breakdownGermany: 628 citing papers, 2.8% of this breakdownCanada: 512 citing papers, 2.2% of this breakdownIndia: 458 citing papers, 2% of this breakdownJapan: 429 citing papers, 1.9% of this breakdownFrance: 358 citing papers, 1.6% of this breakdownSouth Korea: 355 citing papers, 1.6% of this breakdown
0%42.2%Other 15.8%

Fields

  • Computer Science81.8%
  • Social Sciences4.8%
  • Engineering2.7%
  • Decision Sciences1.8%
  • Physics and Astronomy1.8%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Other5.6%

Topics

  • Topic Modeling17%
  • Natural Language Processing Techniques8.9%
  • Advanced Graph Neural Networks7.3%
  • Multimodal Machine Learning Applications5.2%
  • Advanced Text Analysis Techniques2.5%
  • Domain Adaptation and Few-Shot Learning2.5%
  • Other56.6%

Coauthors

All papers

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  1. MiniCPM-V: A GPT-4V Level MLLM on Your Phone

    Authors: , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 991

  2. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

    Authors: , , , , , , , , , , , , , , , , , , - ICLR 2024 cited by 1,957

  3. ChatDev: Communicative Agents for Software Development

    Authors: , , , , , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 740

  4. Learning Entity and Relation Embeddings for Knowledge Graph Completion

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2015 cited by 3,669

  5. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

    Authors: , , , , , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 632

  6. Parameter-efficient fine-tuning of large-scale pre-trained language models

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2023 cited by 906

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 508

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

    Authors: , , , , , , , , , , , - ICML 2024 cited by 465

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

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

  10. Process Reinforcement through Implicit Rewards

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

  11. Toward an Earth-Independent System for EVA Mission Planning: Integrating Physical Models, Domain Knowledge, and Agentic RAG to Provide Explainable LLM-Based Decision Support

    Authors: , , , , , , , , , , , , , , , - ICLR 2024 cited by 343

  12. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

    Authors: , , , , , , , , , , , , - NeurIPS 2023 cited by 890

  13. RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness

    Authors: , , , , , , , , , , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 199

  14. Tool Learning with Foundation Models

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

  15. Graph Neural Networks: A Review of Methods and Applications

    Authors: , , , , , , , , - AI Open 2020 cited by 5,524

  16. Scaling Large Language Model-based Multi-Agent Collaboration

    Authors: , , , , , , , , , , , - ICLR 2025 cited by 245

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

    Authors: , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2022 cited by 226

  18. ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

    Authors: , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 cited by 221

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

    Authors: , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 264

  20. VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

    Authors: , , , , , , , , , , - ICLR 2025 cited by 236

  21. Advancing LLM Reasoning Generalists with Preference Trees

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

  22. CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2018 cited by 254

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

    Authors: , , , , , , - Meeting of the Association for Computational Linguistics: System Demonstrations, ACL (demo) 2022 cited by 207

  24. Representation Learning of Knowledge Graphs with Entity Descriptions

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2016 cited by 732