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Wen-Lian Hsu

Wen-Lian Hsu

D-Index & Metrics

Computer Science

D-Index
53
Citations
14040
World Ranking
4745
National Ranking
35

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to natural language systems and bioinformatics.

Overview

Wen-Lian Hsu is affiliated with Academia Sinica in Taiwan and specializes in research within the fields of Biochemistry, Genetics, and Molecular Biology. Their work spans multiple subfields, including Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, and Statistics and Probability.

Their research topics prominently cover Genomics and Rare Diseases, Biomedical Text Mining and Ontologies, Clinical Practice Guidelines Implementation, and Statistical Methods in Clinical Trials.

Hsu has contributed to a range of publications, notably in venues such as UNC Libraries and the Journal of Medical Internet Research. Selected recent papers include:

  • A system for phenotype harmonization in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) program, 2024, UNC Libraries
  • Extracting Clinical Guideline Information Using Two Large Language Models: Evaluation Study, 2025, Journal of Medical Internet Research

Frequent collaborators include A.M. Stilp, L.S. Emery, Jai Broome, Erin Buth, and Abu T. Khan.

In 2006, Wen-Lian Hsu was recognized as an IEEE Fellow for contributions to natural language systems and bioinformatics.

Best Publications

  • miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions.

    Chih Hung Chou;Sirjana Shrestha;Chi Dung Yang;Chi Dung Yang;Nai Wen Chang

  • miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

    Chih Hung Chou;Nai Wen Chang;Sirjana Shrestha;Sheng Da Hsu

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • On the general feasibility test of scheduling lot sizes for several products on one machine

    Â Wen-Lian Hsu

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • Easy and hard bottleneck location problems

    Wen-Lian Hsu;George L. Nemhauser

  • Recognizing circle graphs in polynomial time

    Csaba P. Gabor;Kenneth J. Supowit;Wen-Lian Hsu

  • The measurement of user satisfaction with question answering systems

    Chorng-Shyong Ong;Min-Yuh Day;Wen-Lian Hsu

  • NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition

    Richard Tzong Han Tsai;Cheng Lung Sung;Hong Jie Dai;Hsieh Chuan Hung

  • Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

    Cheng Wei Cheng;Cheng Wei Cheng;Emily Chia Yu Su;Emily Chia Yu Su;Jenn Kang Hwang;Ting Yi Sung

  • Various criteria in the evaluation of biomedical named entity recognition

    Richard Tzong-Han Tsai;Richard Tzong-Han Tsai;Shih-Hung Wu;Shih-Hung Wu;Wen-Chi Chou;Yu-Chun Lin;Yu-Chun Lin

  • ON THE MAXIMUM EMPTY RECTANGLE PROBLEM

    Amnon Naamad;D. T. Lee;Wen-Lian Hsu

  • Linear time algorithms on circular-arc graphs

    Wen-Lian Hsu;Kuo-Hui Tsai

  • A new planarity test

    Wei-Kuan Shih;Wen-Lian Hsu

  • PC trees and circular-ones arrangements

    Wen-Lian Hsu;Ross M. McConnell

  • Multi-Q: A fully automated tool for multiplexed protein quantitation

    Wen Ting Lin;Wei Neng Hung;Yi Hwa Yian;Kun Pin Wu

  • A Simple Test for the Consecutive Ones Property

    Wen-Lian Hsu

  • Reference metadata extraction using a hierarchical knowledge representation framework

    Min-Yuh Day;Richard Tzong-Han Tsai;Cheng-Lung Sung;Chiu-Chen Hsieh

  • $O(M . N)$ Algorithms for the Recognition and Isomorphism Problems on Circular-Arc Graphs

    Wen-Lian Hsu

  • A maximum entropy approach to biomedical named entity recognition

    Yi-Feng Lin;Tzong-Han Tsai;Wen-Chi Chou;Kuen-Pin Wu

  • Recognizing circle graphs in polynomial time

    Csaba P. Gabor;Wen-Lian Hsu;Kenneth J. Supowit

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Hong-Jie Dai
Hong-Jie Dai Southwest University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Yu-Ju Chen
Yu-Ju Chen Academia Sinica
Chi-Huey Wong
Chi-Huey Wong Scripps Research Institute
Der-Tsai Lee
Der-Tsai Lee Academia Sinica
Christophe Dessimoz
Christophe Dessimoz University College London
George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Tapio Salakoski
Tapio Salakoski University of Turku
Chung-Yi Wu
Chung-Yi Wu Academia Sinica
Shinn-Ying Ho
Shinn-Ying Ho National Yang Ming Chiao Tung University

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