World's Best Scientists 2026 revealed!
Wen-Lian Hsu

Wen-Lian Hsu

D-Index & Metrics

Computer Science

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

Wen-Lian Hsu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wen-Lian Hsu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 358 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Wen-Lian Hsu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wen-Lian Hsu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Wen-Harn Pan
Wen-Harn Pan 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
Chung-Yi Wu
Chung-Yi Wu Academia Sinica
Shinn-Ying Ho
Shinn-Ying Ho National Yang Ming Chiao Tung University

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