Yuan Luo

Active 1997–2026

868
Papers
39,083
Citations
102
h-index
495
i10-index

Citations

Citations per year for Yuan Luo1961: 1 citations1968: 1 citations1970: 1 citations1989: 1 citations1997: 1 citations1998: 5 citations1999: 7 citations2000: 12 citations2001: 10 citations2002: 18 citations2003: 27 citations2004: 34 citations2005: 45 citations2006: 64 citations2007: 78 citations2008: 88 citations2009: 108 citations2010: 139 citations2011: 136 citations2012: 232 citations2013: 190 citations2014: 270 citations2015: 324 citations2016: 300 citations2017: 412 citations2018: 447 citations2019: 863 citations2020: 1,069 citations2021: 1,329 citations2022: 1,612 citations2023: 1,921 citations2024: 2,885 citations2025: 1,915 citations2026: 284 citations2027: 1 citations1962–1967: no citations, so these years are not shown1969: no citations, so this year is not shown1971–1988: no citations, so these years are not shown1990–1996: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,727 citing papers, 25.4% of this breakdownUnited States: 3,576 citing papers, 19.2% of this breakdownUnited Kingdom: 922 citing papers, 5% of this breakdownIndia: 755 citing papers, 4.1% of this breakdownGermany: 657 citing papers, 3.5% of this breakdownCanada: 532 citing papers, 2.9% of this breakdownAustralia: 523 citing papers, 2.8% of this breakdownItaly: 414 citing papers, 2.2% of this breakdownFrance: 388 citing papers, 2.1% of this breakdownSpain: 324 citing papers, 1.7% of this breakdownSouth Korea: 297 citing papers, 1.6% of this breakdownJapan: 272 citing papers, 1.5% of this breakdown
0%25.4%Other 28%

Fields

  • Computer Science27.9%
  • Medicine25.7%
  • Biochemistry, Genetics and Molecular Biology14.5%
  • Engineering8.3%
  • Agricultural and Biological Sciences3.8%
  • Environmental Science3.6%
  • Other16.2%

Topics

  • Topic Modeling3.4%
  • Machine Learning in Healthcare2.9%
  • Artificial Intelligence in Healthcare and Education2.5%
  • Biomedical Text Mining and Ontologies1.7%
  • Advanced Graph Neural Networks1.2%
  • Artificial Intelligence in Healthcare1.1%
  • Other87.2%

Coauthors

All papers

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  1. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

    Authors: , , , , , , - npj Digital Medicine, npj Digit. Medicine 2023 cited by 657

  2. KG-BERT: BERT for Knowledge Graph Completion

    Authors: , , - arXiv (Cornell University), CoRR 2019 cited by 489

  3. Multimodal machine learning in precision health: A scoping review

    Authors: , , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2022 cited by 455

  4. Deep generative molecular design reshapes drug discovery

    Authors: , , , , , , , , , - Cell Reports Medicine 2022 cited by 282

  5. Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers

    Authors: , , , , , , - 2022 cited by 414

  6. Zn‐MOF Encapsulated Antibacterial and Degradable Microneedles Array for Promoting Wound Healing

    Authors: , , , , , , , - Advanced Healthcare Materials 2021 cited by 317

  7. Porous MOF Microneedle Array Patch with Photothermal Responsive Nitric Oxide Delivery for Wound Healing

    Authors: , , , , , , , , - Advanced Science 2021 cited by 218

  8. Statistical and machine learning methods for spatially resolved transcriptomics data analysis

    Authors: , , , - Genome biology 2022 cited by 192

  9. IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial-Temporal Tensor Model

    Authors: , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2022 cited by 153

  10. Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

    Authors: , , , , - arXiv (Cornell University), CoRR 2022 cited by 95

  11. Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis

    Authors: , , , , - Genomics Proteomics & Bioinformatics, Genom. Proteom. Bioinform. 2022 cited by 238

  12. A Comparative Study of Pretrained Language Models for Long Clinical Text

    Authors: , , , , - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2022 cited by 135

  13. Exploring Large Language Models for Knowledge Graph Completion

    Authors: , , , - ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 cited by 60

  14. The role of machine learning in clinical research: transforming the future of evidence generation

    Authors: , , , , , , , , , , , , , , , , , , , , - Trials 2021 cited by 282

  15. Artificial intelligence-based clinical decision support in pediatrics

    Authors: , , , , , - Pediatric Research 2022 cited by 162

  16. Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Li Hsu, Marguerite R. Irvin, Gail P. Jarvik, Elizabeth W. Karlson, Atlas Khan, Amit V. Khera, Krzysztof Kiryluk, Iftikhar J. Kullo, Katie Larkin, Nita A. Limdi, Jodell E. Linder, Ruth J. F. Loos, Yuan Luo, Edyta Małolepsza, Teri A. Manolio, Lisa J. Martin, L.R. McCarthy, Elizabeth M. McNally, James B. Meigs, Tesfaye B. Mersha, Jonathan D. Mosley, Anjene Musick, Bahram Namjou, Nihal Pai, Lorenzo L. Pesce, Ulrike Peters, Josh F. Peterson, Cynthia A. Prows, Megan J. Puckelwartz, Heidi L. Rehm, Dan M. Roden, Elisabeth A. Rosenthal, Robb Rowley, Konrad Teodor Sawicki, Daniel J. Schaid, Roelof A. J. Smit, Johanna L. Smith, Jordan W. Smoller, Minta Thomas, Hemant K. Tiwari, Diana M. Toledo, Nataraja Sarma Vaitinadin, David L. Veenstra, Theresa L. Walunas, Zhe Wang, Wei‐Qi Wei, Chunhua Weng, Georgia L. Wiesner, Xianyong Yin, Eimear E. Kenny - Nature Medicine 2024 cited by 189

  17. Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease

    Authors: , , , , , , , , , , , , , , , , - Cell Reports 2022 cited by 104

  18. AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

    Authors: , , , , , , , , , , , , - Journal of Biomedical Informatics, J. Biomed. Informatics 2023 cited by 63

  19. Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Glenn Randall, Alexis R. Demonbreun, Michael G. Ison, Raghu Kalluri, Deyu Fang, Huiping Liu - Nature Communications 2022 cited by 169

  20. Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lawrence S. Phillips, Patrick T. Ellinor, Girish N. Nadkarni, Marylyn D. Ritchie, Zoltàn Arany, Thomas P. Cappola, Kenneth B. Margulies, Krishna G. Aragam, Christopher M. Haggerty, Jacob Joseph, Yan V. Sun, Benjamin F. Voight, Scott M. Damrauer - Nature Communications 2022 cited by 146

  21. SEL1L–HRD1 endoplasmic reticulum-associated degradation controls STING-mediated innate immunity by limiting the size of the activable STING pool

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Cell Biology 2023 cited by 96

  22. ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays

    Authors: , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 90

  23. Natural Language Processing for EHR-Based Computational Phenotyping

    Authors: , , , , - IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE ACM Trans. Comput. Biol. Bioinform. 2018 cited by 219

  24. Evaluating the state of the art in missing data imputation for clinical data

    Authors: - Briefings in Bioinformatics, Briefings Bioinform. 2021 cited by 122