World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5877
World Ranking
8949
National Ranking
76

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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