Zhiyong Lu

Active 1999–2026

423
Papers
40,836
Citations
89
h-index
247
i10-index

Citations

Citations per year for Zhiyong Lu1972: 4 citations1974: 2 citations1978: 1 citations1979: 1 citations1983: 2 citations1984: 1 citations1987: 4 citations1991: 1 citations1993: 1 citations1994: 2 citations1999: 1 citations2000: 6 citations2001: 4 citations2003: 13 citations2004: 14 citations2005: 28 citations2006: 35 citations2007: 34 citations2008: 86 citations2009: 87 citations2010: 154 citations2011: 234 citations2012: 340 citations2013: 294 citations2014: 474 citations2015: 497 citations2016: 659 citations2017: 573 citations2018: 826 citations2019: 1,392 citations2020: 1,957 citations2021: 2,211 citations2022: 2,133 citations2023: 2,058 citations2024: 3,043 citations2025: 2,216 citations2026: 532 citations1973: no citations, so this year is not shown1975–1977: no citations, so these years are not shown1980–1982: no citations, so these years are not shown1985–1986: no citations, so these years are not shown1988–1990: no citations, so these years are not shown1992: no citations, so this year is not shown1995–1998: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,581 citing papers, 22.3% of this breakdownChina: 3,253 citing papers, 15.8% of this breakdownUnited Kingdom: 1,286 citing papers, 6.3% of this breakdownGermany: 1,031 citing papers, 5% of this breakdownCanada: 746 citing papers, 3.6% of this breakdownAustralia: 736 citing papers, 3.6% of this breakdownIndia: 728 citing papers, 3.6% of this breakdownFrance: 530 citing papers, 2.6% of this breakdownSpain: 443 citing papers, 2.2% of this breakdownItaly: 418 citing papers, 2% of this breakdownSouth Korea: 416 citing papers, 2% of this breakdownJapan: 414 citing papers, 2% of this breakdown
0%22.3%Other 29%

Fields

  • Computer Science32.1%
  • Biochemistry, Genetics and Molecular Biology30.2%
  • Medicine23.9%
  • Agricultural and Biological Sciences2%
  • Environmental Science1.8%
  • Decision Sciences1.5%
  • Other8.5%

Topics

  • Topic Modeling8%
  • Biomedical Text Mining and Ontologies7.9%
  • COVID-19 diagnosis using AI4.9%
  • Natural Language Processing Techniques3.5%
  • Bioinformatics and Genomic Networks3%
  • Radiomics and Machine Learning in Medical Imaging3%
  • Other69.7%

Coauthors

All papers

Open in search
  1. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

    Authors: , , , , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 3,333

  2. Database resources of the national center for biotechnology information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2021 cited by 2,972

  3. MIMIC-CXR: A large publicly available database of labeled chest radiographs

    Authors: , , , , , , , , , - arXiv (Cornell University), CoRR 2019 cited by 608

  4. Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

    Authors: , , , , , , , , , , , , , - Briefings in Bioinformatics, Briefings Bioinform. 2023 cited by 350

  5. BioCreative V CDR task corpus: a resource for chemical disease relation extraction

    Authors: , , , , , , , , , - Database, Database J. Biol. Databases Curation 2016 cited by 883

  6. Benchmarking Retrieval-Augmented Generation for Medicine

    Authors: , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 214

  7. NCBI disease corpus: A resource for disease name recognition and concept normalization

    Authors: , , - Journal of Biomedical Informatics, J. Biomed. Informatics 2014 cited by 837

  8. Database resources of the National Center for Biotechnology Information in 2023

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kim D. Pruitt, Stephen T. Sherry - Nucleic Acids Research, Nucleic Acids Res. 2022 cited by 468

  9. Database resources of the National Center for Biotechnology Information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2020 cited by 1,014

  10. GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

    Authors: , , , - Bioinformatics, Bioinform. 2024 cited by 154

  11. Database resources of the National Center for Biotechnology Information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Amanda Sawyer, Erin Schmieder, Valérie Schneider, Conrad L. Schoch, Shobha Sharma, Françoise Thibaud‐Nissen, Barton W Trawick, Thilakam Venkatapathi, Jiyao Wang, Kim D. Pruitt, Stephen T. Sherry - Nucleic Acids Research 2023 cited by 355

  12. BioRED: A Comprehensive Biomedical Relation Extraction Dataset

    Authors: , , , , - Briefings in Bioinformatics, AMIA 2022 cited by 150

  13. Improving large language models for clinical named entity recognition via prompt engineering

    Authors: , , , , , , , , , , , - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2024 cited by 285

  14. PubTator central: automated concept annotation for biomedical full text articles

    Authors: , , , - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 430

  15. BioWordVec, improving biomedical word embeddings with subword information and MeSH

    Authors: , , , , - Scientific Data 2019 cited by 477

  16. Advancing entity recognition in biomedicine via instruction tuning of large language models

    Authors: , , , , , , , , , , , , - Bioinformatics, Bioinform. 2024 cited by 92

  17. DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

    Authors: , , , , , , , - Ophthalmology 2018 cited by 356

  18. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

    Authors: , , , , , - Advances in computer vision and pattern recognition, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019 cited by 375

  19. Database resources of the National Center for Biotechnology Information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , William Klimke, Alex Kotliarov, Sergey Krasnov, Anatoliy Kuznetsov, Melissa Landrum, David Landsman, Stacy Lathrop, Jennifer M Lee, Carl Leubsdorf, Zhiyong Lu, Thomas Madden, Aron Marchler‐Bauer, Adriana Malheiro, Peter Meric, Ilene Karsch‐Mizrachi, Anatoly Mnev, Terence D. Murphy, Rebecca Orris, James Ostell, Christopher D. O’Sullivan, Vasuki Palanigobu, Anna R. Panchenko, Lon Phan, Borys Pierov, Kim D. Pruitt, Kurt Rodarmer, Eric W Sayers, Valérie Schneider, Conrad L. Schoch, Gregory D. Schuler, Stephen T. Sherry, Karanjit S. Siyan, Alexandra Soboleva, Vladimir Soussov, G. Starchenko, Tatiana Tatusova, Françoise Thibaud‐Nissen, Kamen Todorov, Barton W Trawick, Denis Vakatov, Minghong Ward, Eugene Yaschenko, Aleksandr Zasypkin, Kerry Zbicz - Nucleic Acids Research, Nucleic Acids Res. 2017 cited by 1,639

  20. Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

    Authors: , , - BioNLP Workshop and Shared Task, BioNLP@ACL 2019 cited by 849

  21. Matching Patients to Clinical Trials with Large Language Models

    Authors: , , , , , , , , , - Nature Communications 2023 cited by 206

  22. Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Communications 2025 cited by 129

  23. Database resources of the National Center for Biotechnology Information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Karl Sirotkin, Douglas J. Slotta, Alexandre Souvorov, G. Starchenko, Tatiana Tatusova, Lukas Wagner, Yanli Wang, W. John Wilbur, Eugene Yaschenko, Jian Ye - Nucleic Acids Research, Nucleic Acids Res. 2009 cited by 813

  24. A survey of current trends in computational drug repositioning

    Authors: , , , , , - Briefings in Bioinformatics, Briefings Bioinform. 2015 cited by 576