World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8681
World Ranking
10035
National Ranking
4227

Research.com Recognitions

  • 2011 - ACM Senior Member

Overview

Chun-Nan Hsu is affiliated with the University of California, San Diego in the United States and has an extensive publication record spanning multiple fields related to computer science and medicine. Their research contributions cover a broad range of topics primarily focusing on artificial intelligence applications in healthcare and biomedical informatics.

The main fields of study for Chun-Nan Hsu are:

  • Computer Science
  • Medicine

The scientist's subfields of study include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Health Informatics
  • Computer Vision and Pattern Recognition

Chun-Nan Hsu has worked extensively on key research topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Artificial Intelligence in Healthcare and Education
  • Monoclonal and Polyclonal Antibodies Research
  • Machine Learning in Healthcare
  • Advanced Graph Neural Networks

Their recent notable publications include:

  • Federated learning for predicting clinical outcomes in patients with COVID-19 (2021), published in Nature Medicine
  • RadBERT: Adapting Transformer-based Language Models to Radiology (2022), published in Radiology Artificial Intelligence
  • SPOT (2022), published in Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models (2023), published on arXiv (Cornell University)
  • Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery (2022), published in the 2022 International Joint Conference on Neural Networks (IJCNN)

Frequent co-authors who have collaborated with Chun-Nan Hsu include:

  • Amilcare Gentili
  • Julian McAuley
  • Yannis Katsis
  • Anita Bandrowski
  • İbrahim Burak Özyurt

The scientist has contributed publications to several prominent venues, among which the most frequent are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings on CD-ROM, International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition
  • Nature Medicine
  • Radiology Artificial Intelligence

Among academic distinctions, Chun-Nan Hsu was recognized as an ACM Senior Member in 2011.

Best Publications

  • Generating finite-state transducers for semi-structured data extraction from the Web

    Chun-Nan Hsu;Ming-Tzung Dung

  • Retrieving and Integrating Data from Multiple Information Sources

    Yigal Arens;Chin Y. Chee;Chun-Nan Hsu;Craig A. Knoblock

  • Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence

    Huiying Liang;Brian Y. Tsui;Hao Ni;Carolina C. S. Valentim

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization

    Hsiang-Yu Yuan;Jen-Jie Chiou;Wen-Hsien Tseng;Chia-Hung Liu

  • Overview of BioCreative II gene mention recognition

    Larry Smith;Lorraine K Tanabe;Rie Johnson nee Ando;Cheng-Ju Kuo

  • Weakly supervised learning of biomedical information extraction from curated data

    Suvir Jain;R Kashyap;Tsung-Ting Kuo;Shitij Bhargava

  • Overview of BioCreative II gene normalization.

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

  • Query processing in the SIMS information mediator

    Yigal Arens;Chun-Nan Hsu;Craig A. Knoblock

  • Automatic information extraction from semi-structured Web pages by pattern discovery

    Chia-Hui Chang;Chun-Nan Hsu;Shao-Cheng Lui

  • The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery.

    S.A. Pendergrass;K. Brown-Gentry;S.M. Dudek;E.S. Torstenson

  • RadBERT: Adapting Transformer-based Language Models to Radiology.

    Unknown

  • The gene normalization task in BioCreative III

    Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

  • The ANNIGMA-wrapper approach to fast feature selection for neural nets

    Chun-Nan Hsu;Hung-Ju Huang;S. Dietrich

  • Automatic morphological subtyping reveals new roles of caspases in mitochondrial dynamics.

    Jyh Ying Peng;Jyh Ying Peng;Chung Chih Lin;Yen Jen Chen;Lung Sen Kao

  • Cooperating agents for information retrieval

    Craig A. Knoblock;Yigal Arens;Chun-Nan Hsu

  • Speech Recognition on Code-Switching Among the Chinese Dialects

    Dau-cheng Lyu;Ren-yuan Lyu;Yuang-chin Chiang;Chun-nan Hsu

  • Integrating high dimensional bi-directional parsing models for gene mention tagging

    Chun-Nan Hsu;Yu-Ming Chang;Cheng-Ju Kuo;Yu-Shi Lin

  • Introducing meta-services for biomedical information extraction

    Florian Leitner;Martin Krallinger;Carlos Rodríguez-Penagos;Jörg Hakenberg;Jörg Hakenberg

  • Gene Expression-Based Chemical Genomics Identifies Potential Therapeutic Drugs in Hepatocellular Carcinoma

    Ming Huang Chen;Wu Lung R. Yang;Kuan Ting Lin;Kuan Ting Lin;Chia Hung Liu;Chia Hung Liu

  • Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation

    Chun-Nan Hsu;Hao-Hsiang Chung;Han-Shen Huang

  • Why Discretization Works for Naive Bayesian Classifiers

    Chun-Nan Hsu;Hung-Ju Huang;Tzu-Tsung Wong

Frequent Co-Authors

Wen-chang Lin
Wen-chang Lin Academia Sinica
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Julian McAuley
Julian McAuley University of California, San Diego
Chi-Ying F. Huang
Chi-Ying F. Huang National Yang Ming University
José Luis Ambite
José Luis Ambite University of Southern California
Ho-Cheol Kim
Ho-Cheol Kim IBM (United States)
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Susan L. Forsburg
Susan L. Forsburg University of Southern California
Hannah Carter
Hannah Carter University of California, San Diego
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics

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