Xian Wu

Active 1981–2026

637
Papers
23,570
Citations
83
h-index
384
i10-index

Citations

Citations per year for Xian Wu1967: 1 citations1969: 1 citations1993: 1 citations1994: 3 citations1995: 4 citations1996: 1 citations1997: 4 citations1998: 4 citations1999: 16 citations2000: 10 citations2001: 10 citations2002: 9 citations2003: 12 citations2004: 3 citations2005: 8 citations2006: 10 citations2007: 34 citations2008: 73 citations2009: 100 citations2010: 83 citations2011: 98 citations2012: 101 citations2013: 102 citations2014: 120 citations2015: 125 citations2016: 178 citations2017: 196 citations2018: 228 citations2019: 416 citations2020: 784 citations2021: 1,085 citations2022: 1,032 citations2023: 1,182 citations2024: 1,917 citations2025: 1,913 citations2026: 584 citations2027: 2 citations1968: no citations, so this year is not shown1970–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,241 citing papers, 33.7% of this breakdownUnited States: 2,022 citing papers, 16% of this breakdownUnited Kingdom: 552 citing papers, 4.4% of this breakdownAustralia: 386 citing papers, 3.1% of this breakdownIndia: 370 citing papers, 2.9% of this breakdownHong Kong: 363 citing papers, 2.9% of this breakdownGermany: 338 citing papers, 2.7% of this breakdownItaly: 336 citing papers, 2.7% of this breakdownCanada: 283 citing papers, 2.2% of this breakdownJapan: 226 citing papers, 1.8% of this breakdownSouth Korea: 225 citing papers, 1.8% of this breakdownSpain: 196 citing papers, 1.5% of this breakdown
0%33.7%Other 24.3%

Fields

  • Computer Science45.5%
  • Medicine20.8%
  • Biochemistry, Genetics and Molecular Biology10.9%
  • Engineering4.7%
  • Agricultural and Biological Sciences3.1%
  • Mathematics2.6%
  • Other12.4%

Topics

  • Topic Modeling4.7%
  • Multimodal Machine Learning Applications2.4%
  • Recommender Systems and Techniques2.3%
  • Natural Language Processing Techniques1.5%
  • Advanced Graph Neural Networks1.4%
  • Machine Learning in Healthcare1.4%
  • Other86.3%

Coauthors

All papers

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  1. Large Language Model Agent: A Survey on Methodology, Applications and Challenges

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 218

  2. Swift: Delay is Simple and Effective for Congestion Control in the Datacenter

    Authors: , , , , , , , , , , , - conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication, SIGCOMM 2020 cited by 292

  3. A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

    Authors: , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 136

  4. Radiology report generation with a learned knowledge base and multi-modal alignment

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2023 cited by 161

  5. Knowledge matters: Chest radiology report generation with general and specific knowledge

    Authors: , , , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 202

  6. Large Language Models for Generative Information Extraction: A Survey

    Authors: , , , , , , , , , - Frontiers of Computer Science, Frontiers Comput. Sci. 2024 cited by 218

  7. A medical multimodal large language model for future pandemics

    Authors: , , , , , , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2023 cited by 143

  8. MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications

    Authors: , , , , , , - SIGIR Conference on Research and Development in Information Retrieval 2024 cited by 88

  9. Competence-based Multimodal Curriculum Learning for Medical Report Generation

    Authors: , , , - Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), ACL/IJCNLP (1) 2021 cited by 126

  10. Conditional Generation Net for Medication Recommendation

    Authors: , , , , - Web Conference 2022, WWW 2022 cited by 117

  11. U-BERT: Pre-training User Representations for Improved Recommendation

    Authors: , , , - AAAI Conference on Artificial Intelligence 2021 cited by 106

  12. Incidence of Kidney Stones in the United States: The Continuous National Health and Nutrition Examination Survey

    Authors: , , , , , , , , , , , , - The Journal of Urology 2021 cited by 247

  13. Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network

    Authors: , , , , , , - Nature Computational Science, Nat. Comput. Sci. 2023 cited by 65

  14. Large Language Model Distilling Medication Recommendation Model

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 43

  15. Increased Alzheimer's risk during the menopause transition: A 3-year longitudinal brain imaging study

    Authors: , , , , , , , , , - PLoS ONE 2018 cited by 231

  16. A review of Ganoderma lucidum polysaccharides: Health benefit, structure–activity relationship, modification, and nanoparticle encapsulation

    Authors: , , , , , , , - International Journal of Biological Macromolecules 2023 cited by 101

  17. Interaction-aware Drug Package Recommendation via Policy Gradient

    Authors: , , , , , , , , - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2022 cited by 60

  18. AutoField: Automating Feature Selection in Deep Recommender Systems

    Authors: , , , - Web Conference 2022, WWW 2022 cited by 68

  19. Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 cited by 43

  20. Federated Learning for Vision-and-Language Grounding Problems

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2020 cited by 109

  21. Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation

    Authors: , , , , , , - International Conference on Information & Knowledge Management, CIKM 2022 cited by 49

  22. Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation

    Authors: , , , , - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2022 cited by 58

  23. AdaFS: Adaptive Feature Selection in Deep Recommender System

    Authors: , , , , - SIGKDD Conference on Knowledge Discovery and Data Mining 2022 cited by 53

  24. MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

    Authors: , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 34