World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
13469
World Ranking
6054
National Ranking
48

Overview

Chih-Fong Tsai is affiliated with National Central University in Taiwan and has a significant body of research primarily within the field of Computer Science. Their work prominently covers several subfields, including Artificial Intelligence, Health Information Management, Accounting, Computer Vision and Pattern Recognition, and Management Science and Operations Research.

The research topics that Tsai has contributed to include:

  • Imbalanced Data Classification Techniques
  • Artificial Intelligence in Healthcare
  • Financial Distress and Bankruptcy Prediction
  • Machine Learning and Data Classification
  • Sentiment Analysis and Opinion Mining
  • Digital Marketing and Social Media
  • Neural Networks and Applications

Frequent co-authors in Tsai's publications include Wei-Chao Lin, Ya-Han Hu, Min-Wei Huang, Deron Liang, and Kuen-Liang Sue.

Tsai's research has been published across various journals, with notable frequent publication venues being:

  • Applied Sciences
  • Journal of Experimental & Theoretical Artificial Intelligence
  • Journal of Business Research
  • Knowledge-Based Systems
  • Expert Systems with Applications

Some of the recent papers authored or co-authored by Tsai are:

  • Improving text summarization of online hotel reviews with review helpfulness and sentiment, 2020, Tourism Management
  • Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches, 2020, Knowledge-Based Systems
  • Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction, 2021, Journal of Business Research

These papers address various aspects of machine learning, data classification, and financial distress prediction, contributing to knowledge in both artificial intelligence applications and business research contexts.

Best Publications

  • Review: Intrusion detection by machine learning: A review

    Chih-Fong Tsai;Yu-Feng Hsu;Chia-Ying Lin;Wei-Yang Lin

  • Clustering-based undersampling in class-imbalanced data

    Wei Chao Lin;Chih Fong Tsai;Ya Han Hu;Jing Shang Jhang

  • Using neural network ensembles for bankruptcy prediction and credit scoring

    Chih-Fong Tsai;Jhen-Wei Wu

  • CANN: An intrusion detection system based on combining cluster centers and nearest neighbors

    Wei Chao Lin;Shih Wen Ke;Chih Fong Tsai

  • The distance function effect on k-nearest neighbor classification for medical datasets

    Li Yu Hu;Min Wei Huang;Shih Wen Ke;Chih Fong Tsai

  • Missing value imputation: a review and analysis of the literature (2006–2017)

    Unknown

  • Machine learning in concrete strength simulations: Multi-nation data analytics

    Jui Sheng Chou;Chih Fong Tsai;Anh Duc Pham;Anh Duc Pham;Yu Hsin Lu

  • Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches

    Chih-Fong Tsai;Yu-Chieh Hsiao

  • Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study

    Deron Liang;Chia Chi Lu;Chih Fong Tsai;Guan An Shih

  • Machine Learning in Financial Crisis Prediction: A Survey

    Wei-Yang Lin;Ya-Han Hu;Chih-Fong Tsai

  • Customer churn prediction by hybrid neural networks

    Chih-Fong Tsai;Yu-Hsin Lu

  • SVM and SVM Ensembles in Breast Cancer Prediction.

    Min Wei Huang;Chih Wen Chen;Wei Chao Lin;Shih Wen Ke

  • A triangle area based nearest neighbors approach to intrusion detection

    Chih-Fong Tsai;Chia-Ying Lin

  • Feature selection in bankruptcy prediction

    Chih-Fong Tsai

  • Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

    Chih Fong Tsai;Wei Chao Lin;Wei Chao Lin;Ya Han Hu;Guan Ting Yao

  • Genetic algorithms in feature and instance selection

    Chih-Fong Tsai;William Eberle;Chi-Yuan Chu

  • The effect of feature selection on financial distress prediction

    Deron Liang;Chih-Fong Tsai;Hsin-Ting Wu

  • Predicting stock returns by classifier ensembles

    Chih-Fong Tsai;Yuah-Chiao Lin;David C. Yen;Yan-Min Chen

  • A comparative study of classifier ensembles for bankruptcy prediction

    Chih-Fong Tsai;Yu-Feng Hsu;David C. Yen

  • Bag-of-Words Representation in Image Annotation: A Review

    Unknown

  • Combining cluster analysis with classifier ensembles to predict financial distress

    Chih-Fong Tsai

  • Credit rating by hybrid machine learning techniques

    Chih-Fong Tsai;Ming-Lun Chen

Frequent Co-Authors

Jui-Sheng Chou
Jui-Sheng Chou National Taiwan University of Science and Technology
David C. Yen
David C. Yen Texas Southern University

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