World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
15438
World Ranking
2475
National Ranking
1240

Overview

Hua Xu is affiliated with Yale University in the United States and has produced a substantial body of research spanning medicine and computer science, with a particular focus on artificial intelligence and health informatics. Their scholarly contributions reflect a multidisciplinary approach that integrates computational methods with biomedical applications.

Their recent research includes the following publications:

  • Immediate psychological distress in quarantined patients with COVID-19 and its association with peripheral inflammation: A mixed-method study, 2020, Brain Behavior and Immunity
  • The All of Us Research Program: Data quality, utility, and diversity, 2022, Patterns
  • Improving large language models for clinical named entity recognition via prompt engineering, 2024, Journal of the American Medical Informatics Association
  • Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration, 2023, Healthcare
  • Distribution and weathering characteristics of microplastics in paddy soils following long-term mulching: A field study in Southwest China, 2022, The Science of The Total Environment

Hua Xu's frequent collaborators include Yujia Zhou, Yong Chen, Jiang Bian, Xiaoqian Jiang, and Hongfang Liu, each having coauthored 17 to 19 publications together. This highlights extensive collaborative work within their research network.

The venues where Hua Xu publishes most frequently are:

  • Journal of the American Medical Informatics Association (25 publications)
  • arXiv (Cornell University) (24 publications)
  • bioRxiv (Cold Spring Harbor Laboratory) (17 publications)
  • Journal of Biomedical Informatics (16 publications)
  • SSRN Electronic Journal (9 publications)

Hua Xu's primary fields of study are medicine with 190 publications and computer science with 177 publications. Within these, specific subfields of focus include:

  • Artificial Intelligence (146 publications)
  • Molecular Biology (93 publications)
  • Electrical and Electronic Engineering (21 publications)
  • Health Informatics (20 publications)
  • Surgery (20 publications)

The main research topics covered by Hua Xu encompass:

  • Biomedical Text Mining and Ontologies (136 publications)
  • Topic Modeling (120 publications)
  • Machine Learning in Healthcare (74 publications)
  • Artificial Intelligence in Healthcare and Education (40 publications)
  • Natural Language Processing Techniques (40 publications)
  • Artificial Intelligence in Healthcare (20 publications)
  • Computational Drug Discovery Methods (18 publications)

In addition to journal articles, Hua Xu has contributed to book publications. One known work is titled Health Information Processing, published by Springer Science+Business Media in 2024, which has received at least one citation.

Best Publications

  • Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

    Joshua C. Denny;Lisa Bastarache;Marylyn D. Ritchie;Robert J. Carroll

  • MedEx: a medication information extraction system for clinical narratives.

    Hua Xu;Shane P Stenner;Son Doan;Kevin B Johnson

  • Data from clinical notes: a perspective on the tension between structure and flexible documentation.

    S. Trent Rosenbloom;Joshua C. Denny;Hua Xu;Nancy M. Lorenzi

  • Deep learning in clinical natural language processing: a methodical review.

    Stephen Wu;Kirk Roberts;Surabhi Datta;Jingcheng Du

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

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

    Ergin Soysal;Jingqi Wang;Min Jiang;Yonghui Wu

  • A systematic analysis of FDA-approved anticancer drugs

    Jingchun Sun;Qiang Wei;Yubo Zhou;Jingqi Wang

  • A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

    Min Jiang;Yukun Chen;Mei Liu;S Trent Rosenbloom

  • Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

    Mei Liu;Yonghui Wu;Yukun Chen;Jingchun Sun

  • Enhancing clinical concept extraction with contextual embeddings.

    Yuqi Si;Jingqi Wang;Hua Xu;Kirk E. Roberts

  • Automated Acquisition of Disease–Drug Knowledge from Biomedical and Clinical Documents: An Initial Study

    Elizabeth S. Chen;Elizabeth S. Chen;Elizabeth S. Chen;George Hripcsak;Hua Xu;Marianthi Markatou

  • Portability of an algorithm to identify rheumatoid arthritis in electronic health records

    Robert J. Carroll;William K. Thompson;Anne E. Eyler;Arthur M. Mandelin

  • Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality

    Hua Xu;Melinda C Aldrich;Qingxia Chen;Hongfang Liu

  • The emerging role of electronic medical records in pharmacogenomics

    R. A. Wilke;H. Xu;J. C. Denny;D. M. Roden

  • Entity recognition from clinical texts via recurrent neural network

    Zengjian Liu;Ming Yang;Xiaolong Wang;Qingcai Chen

  • A comprehensive study of named entity recognition in Chinese clinical text

    Jianbo Lei;Buzhou Tang;Xueqin Lu;Kaihua Gao

  • Erratum To: Cisplatin-induced epigenetic activation of miR-34a sensitizes bladder cancer cells to chemotherapy

    Heng Li;Gan Yu;Runlin Shi;Bin Lang

  • Evaluating word representation features in biomedical named entity recognition tasks.

    Buzhou Tang;Hongxin Cao;Xiaolong Wang;Qingcai Chen

  • A study of active learning methods for named entity recognition in clinical text

    Yukun Chen;Thomas A. Lasko;Qiaozhu Mei;Joshua C. Denny

  • Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.

    Yonghui Wu;Min Jiang;Jianbo Lei;Hua Xu

Frequent Co-Authors

Joshua C. Denny
Joshua C. Denny National Institutes of Health
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston
Fayez K. Ghishan
Fayez K. Ghishan University of Arizona
Carol Friedman
Carol Friedman Columbia University
Qiaozhu Mei
Qiaozhu Mei University of Michigan–Ann Arbor
Randolph A. Miller
Randolph A. Miller Vanderbilt University
Min Song
Min Song Yonsei University
Elmer V. Bernstam
Elmer V. Bernstam The University of Texas Health Science Center at Houston

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