World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
43204
World Ranking
1051
National Ranking
561

Overview

Zhiyong Lu is affiliated with the National Institutes of Health in the United States. Their research intersects multiple scientific fields including computer science, medicine, and biochemistry, genetics, and molecular biology. The main focus of their work revolves around several core topics and methodologies.

The principal research topics covered by Zhiyong Lu include:

  • Biomedical Text Mining and Ontologies
  • Topic Modeling
  • Machine Learning in Healthcare
  • Natural Language Processing Techniques
  • Artificial Intelligence in Healthcare and Education
  • Retinal Imaging and Analysis
  • COVID-19 diagnosis using AI

Within their broad domain, the subfields they contribute to are:

  • Artificial Intelligence
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Ophthalmology
  • Health Informatics

Zhiyong Lu's publication record includes a variety of research venues, with frequent contributions noted in:

  • arXiv (Cornell University)
  • Bioinformatics
  • Nucleic Acids Research
  • Journal of Biomedical Informatics
  • PubMed

Coauthorship collaborations have been significant in their work, partnering frequently with:

  • Qingyu Chen
  • Yifan Peng
  • Qiao Jin
  • Chih-Hsuan Wei
  • Emily Y. Chew

Recent publications by Zhiyong Lu include:

  • Database resources of the national center for biotechnology information, 2021, Nucleic Acids Research
  • Database resources of the National Center for Biotechnology Information, 2020, Nucleic Acids Research
  • Database resources of the National Center for Biotechnology Information in 2023, 2022, Nucleic Acids Research
  • Keep up with the latest coronavirus research, 2020, Nature
  • Opportunities and challenges for ChatGPT and large language models in biomedicine and health, 2023, Briefings in Bioinformatics

Best Publications

  • ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

    Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  • Opportunities and obstacles for deep learning in biology and medicine.

    Travers Ching;Daniel S. Himmelstein;Brett K. Beaulieu-Jones;Alexandr A. Kalinin

  • Special Report: NCBI disease corpus: A resource for disease name recognition and concept normalization

    Rezarta Islamaj Doğan;Robert Leaman;Zhiyong Lu

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

    Yifan Peng;Shankai Yan;Zhiyong Lu

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

    Jiao Li;Yueping Sun;Robin J. Johnson;Daniela Sciaky

  • Database resources of the National Center for Biotechnology Information

    Unknown

  • PubMed and beyond: a survey of web tools for searching biomedical literature.

    Zhiyong Lu

  • PubTator: a web-based text mining tool for assisting biocuration

    Chih Hsuan Wei;Hung Yu Kao;Zhiyong Lu

  • A survey of current trends in computational drug repositioning

    Jiao Li;Si Zheng;Bin Chen;Atul J. Butte

  • TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

    Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  • DNorm: disease name normalization with pairwise learning to rank.

    Robert Leaman;Rezarta Islamaj Doğan;Zhiyong Lu

  • Predicting subcellular localization of proteins using machine-learned classifiers

    Z. Lu;D. Szafron;R. Greiner;P. Lu

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

    Yijia Zhang;Yijia Zhang;Qingyu Chen;Zhihao Yang;Hongfei Lin

  • PubTator central: automated concept annotation for biomedical full text articles

    Chih-Hsuan Wei;Alexis Allot;Robert Leaman;Zhiyong Lu

  • Overview of BioCreative II gene normalization.

    Alexander A. Morgan;Zhiyong Lu;Xinglong Wang;Aaron M. Cohen

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task

    Chih-Hsuan Wei;Yifan Peng;Robert Leaman;Allan Peter Davis

  • TaggerOne: joint named entity recognition and normalization with semi-Markov Models

    Robert Leaman;Zhiyong Lu

  • Understanding PubMed® user search behavior through log analysis

    Rezarta Islamaj Dogan;G. Craig Murray;Aurélie Névéol;Zhiyong Lu

  • Keep up with the latest coronavirus research.

    Qingyu Chen;Alexis Allot;Zhiyong Lu

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

    Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  • Database resources of the National Center for Biotechnology Information

    Unknown

Frequent Co-Authors

W. John Wilbur
W. John Wilbur National Institutes of Health
Ronald M. Summers
Ronald M. Summers National Institutes of Health
Emily Y. Chew
Emily Y. Chew National Institutes of Health
Cecilia N. Arighi
Cecilia N. Arighi University of Delaware
Le Lu
Le Lu Alibaba Group (China)
Cathy H. Wu
Cathy H. Wu University of Delaware
Hong-Jie Dai
Hong-Jie Dai Southwest University
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
K. Bretonnel Cohen
K. Bretonnel Cohen University of Colorado Denver
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston

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