World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5877
World Ranking
8948
National Ranking
76

Yen-Liang Chen 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 Yen-Liang Chen 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: 124 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Yen-Liang Chen 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 Yen-Liang Chen 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Yen-Liang Chen is affiliated with National Central University in Taiwan and has an active research profile spanning computer science and medicine. Their work is distributed across several specialized fields including artificial intelligence, information systems, public health, environmental and occupational health, epidemiology, and molecular biology.

The scientist's research topics cover a range of areas, focused notably on recommender systems and techniques, Trypanosoma species research and implications, mosquito-borne diseases and control, sentiment analysis and opinion mining, advanced graph neural networks, research related to leishmaniasis studies, and biochemical and molecular research.

Frequent co-authors associated with Yen-Liang Chen include:

  • Suresh B. Lakshminarayana
  • Srinivasa P. S. Rao
  • Fumiaki Yokokawa
  • Thierry T. Diagana
  • Jan Jiřiček

The scientist's publication record features multiple papers across well-regarded venues. Notable recent publications include:

  • Discovery and Characterization of Clinical Candidate LXE408 as a Kinetoplastid-Selective Proteasome Inhibitor for the Treatment of Leishmaniases, 2020, Journal of Medicinal Chemistry
  • NITD-688, a pan-serotype inhibitor of the dengue virus NS4B protein, shows favorable pharmacokinetics and efficacy in preclinical animal models, 2021, Science Translational Medicine
  • Targeting the trypanosome kinetochore with CLK1 protein kinase inhibitors, 2020, Nature Microbiology
  • A movie recommendation method based on users' positive and negative profiles, 2021, Information Processing & Management
  • Aspect-based sentiment analysis with component focusing multi-head co-attention networks, 2022, Neurocomputing

The most frequent publication venues contributing to their scholarly output include:

  • Journal of Medicinal Chemistry
  • Decision Support Systems
  • The Electronic Library
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Supercomputing

Yen-Liang Chen's research bridges computational and biomedical sciences, emphasizing both methodological advancements such as in recommender systems and sentiment analysis, and applied biomedical topics such as vector-borne diseases and molecular mechanisms relevant to parasitic infections.

Best Publications

  • The quickest path problem

    Y. L. Chen;Y. H. Chin

  • Opinion mining from online hotel reviews A text summarization approach

    Ya-Han Hu;Yen-Liang Chen;Hui-Ling Chou

  • Market basket analysis in a multiple store environment

    Yen-Liang Chen;Kwei Tang;Ren-Jie Shen;Ya-Han Hu

  • A group recommendation system with consideration of interactions among group members

    Yen-Liang Chen;Li-Chen Cheng;Ching-Nan Chuang

  • Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism

    Ya-Han Hu;Yen-Liang Chen

  • Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data

    Yen-Liang Chen;Mi-Hao Kuo;Shin-Yi Wu;Kwei Tang

  • Discovering time-interval sequential patterns in sequence databases

    Yen Liang Chen;Mei Ching Chiang;Ming Tat Ko

  • Mining Nonambiguous Temporal Patterns for Interval-Based Events

    Shin-Yi Wu;Yen-Liang Chen

  • Constructing a multi-valued and multi-labeled decision tree

    Yen Liang Chen;Chang Ling Hsu;Shih Chieh Chou

  • Mining sequential patterns from multidimensional sequence data

    Chung-Ching Yu;Yen-Liang Chen

  • A data mining approach for retail knowledge discovery with consideration of the effect of shelf-space adjacency on sales

    Yen-Liang Chen;Jen-Ming Chen;Ching-Wen Tung

  • Discovering fuzzy time-interval sequential patterns in sequence databases

    Yen-Liang Chen;T.C.-K. Huang

  • Finding the k quickest simple paths in a network

    Y. L. Chen

  • Mining fuzzy association rules from questionnaire data

    Yen-Liang Chen;Cheng-Hsiung Weng

  • Minimum time paths in a network with mixed time constraints

    Y. L. Chen;Kwei Tang

  • An algorithm for finding the k quickest paths in a network

    Y. L. Chen

  • Mining associative classification rules with stock trading data - A GA-based method

    Ya-Wen Chang Chien;Yen-Liang Chen

  • Emotion classification of YouTube videos

    Yen Liang Chen;Chia Ling Chang;Chin Sheng Yeh

  • An IPC-based vector space model for patent retrieval

    Yen-Liang Chen;Yu-Ting Chiu

  • A novel collaborative filtering approach for recommending ranked items

    Yen-Liang Chen;Li-Chen Cheng

Frequent Co-Authors

Chiang Kao
Chiang Kao National Cheng Kung University

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