World's Best Scientists 2026 revealed!
Pei-Chann Chang

Pei-Chann Chang

D-Index & Metrics

Computer Science

D-Index
60
Citations
9934
World Ranking
3306
National Ranking
21

Overview

Pei-Chann Chang is affiliated with Yuan Ze University in Taiwan and has contributed research primarily in the fields of Engineering and Social Sciences. Their work spans several subfields including Media Technology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Signal Processing, and Atmospheric Science.

The scientist's recent publications demonstrate a focus on both technical and interdisciplinary topics. Key papers include:

  • A Dual-Adaptive Approach Based on Discrete Cosine Transform for Removal of ECG Baseline Wander, 2022, Applied Sciences
  • Hyperspectral Image Classification Based on the Lightweight G-GhostNets Network, 2025, Acta Interdisciplinary Science
  • The Economic Impact of Major Sporting Events: A Cost-Benefit Analysis of Hosting the Olympic Games, 2025, Frontiers in Business Economics and Management

These works reflect a blend of expertise in biomedical signal processing, remote sensing image classification, and economic analysis related to large-scale sporting events.

The research topics covered by Pei-Chann Chang include:

  • ECG Monitoring and Analysis
  • Analog and Mixed-Signal Circuit Design
  • Digital Filter Design and Implementation
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Sport and Mega-Event Impacts

Collaborative efforts are evident through coauthorship with researchers such as Jyun-Jie Lin, Ping-Heng Tsai, Farid Uddin Ahmed, and Isabelle Houlbert, each contributing to at least one joint publication.

Pei-Chann Chang's work has been published in a variety of venues, which include:

  • Applied Sciences
  • Acta Interdisciplinary Science
  • Frontiers in Business Economics and Management

The diversity of these publication venues signals an interdisciplinary approach, integrating engineering principles with social science perspectives, particularly in areas like media technology and economic impact assessments.

Best Publications

  • A TSK type fuzzy rule based system for stock price prediction

    Pei-Chann Chang;Chen-Hao Liu

  • Kernel Sparse Representation-Based Classifier

    Li Zhang;Wei-Da Zhou;Pei-Chann Chang;Jing Liu

  • One-machine rescheduling heuristics with efficiency and stability as criteria

    S. David Wu;Robert H. Storer;Pei-Chann Chang

  • The development of a weighted evolving fuzzy neural network for PCB sales forecasting

    Pei-Chann Chang;Yen-Wen Wang;Chen-Hao Liu

  • A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification

    Chin-Yuan Fan;Pei-Chann Chang;Jyun-Jie Lin;J. C. Hsieh

  • Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry

    Pei-Chann Chang;Yen-Wen Wang

  • Evolving and clustering fuzzy decision tree for financial time series data forecasting

    Robert K. Lai;Chin-Yuan Fan;Wei-Hsiu Huang;Pei-Chann Chang

  • A neural network with a case based dynamic window for stock trading prediction

    Pei-Chann Chang;Chen-Hao Liu;Jun-Lin Lin;Chin-Yuan Fan

  • Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news

    Liang-Chih Yu;Jheng-Long Wu;Pei-Chann Chang;Hsuan-Shou Chu

  • Monthly electricity demand forecasting based on a weighted evolving fuzzy neural network approach

    Pei-Chann Chang;Chin-Yuan Fan;Jyun-Jie Lin

  • Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction

    Pei-Chann Chang;Chin-Yuan Fan;Chen-Hao Liu

  • Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models

    Pei-Chann Chang;Jyun-Jie Lin;Jui-Chien Hsieh;Julia Weng

  • Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.

    Bing-Chun Liu;Arihant Binaykia;Pei-Chann Chang;Manoj Kumar Tiwari

  • Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry

    Pei-Chann Chang;Chen-Hao Liu;Chin-Yuan Fan

  • Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations

    T.W. Liao;P.J. Egbelu;P.C. Chang

  • A novel model by evolving partially connected neural network for stock price trend forecasting

    Pei-Chann Chang;Di-Di Wang;Chang-Le Zhou

  • Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory

    P. C. Chang;T. W. Liao

  • Iterated time series prediction with multiple support vector regression models

    Li Zhang;Wei-Da Zhou;Pei-Chann Chang;Ji-Wen Yang

  • Two-phase sub population genetic algorithm for parallel machine-scheduling problem

    Pei-Chann Chang;Shih-Hsin Chen;Kun-Lin Lin

  • A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting

    Pei-Chann Chang;Chin-Yuan Fan

  • Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems

    Pei-Chann Chang;Shih-Hsin Chen;Chen-Hao Liu

Frequent Co-Authors

T. Warren Liao
T. Warren Liao Louisiana State University
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Manoj Kumar Tiwari
Manoj Kumar Tiwari Indian Institute of Technology Kharagpur
Rui Zhang
Rui Zhang National University of Singapore
Cheng Wu
Cheng Wu Tsinghua University
T.C.E. Cheng
T.C.E. Cheng Hong Kong Polytechnic University
Shiji Song
Shiji Song Tsinghua University
Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Jing Liu
Jing Liu Xidian University
Raymond Chiong
Raymond Chiong University of Newcastle Australia

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