World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4924
World Ranking
12644
National Ranking
114

Overview

Cheng-Hong Yang is a researcher affiliated with the National Kaohsiung University of Applied Sciences in Taiwan. Their primary research contributions focus on the intersection of biochemistry, genetics, molecular biology, and applied computational techniques, reflecting a multidisciplinary approach to scientific challenges.

The main fields of study in their work include:

  • Biochemistry, Genetics and Molecular Biology

The subfields where Cheng-Hong Yang has published include:

  • Molecular Biology
  • Management Science and Operations Research
  • Artificial Intelligence
  • Environmental Engineering
  • Electrical and Electronic Engineering

Their research topics cover a diverse range of areas such as:

  • Stock Market Forecasting Methods
  • Gene expression and cancer classification
  • Energy Load and Power Forecasting
  • Forecasting Techniques and Applications
  • Dialysis and Renal Disease Management
  • Cancer Genomics and Diagnostics
  • Grey System Theory Applications

Cheng-Hong Yang has contributed to multiple scientific publications notable for their presence in specific journals and proceedings. Frequent publication venues include:

  • Mathematics
  • IEEE Access
  • Expert Systems with Applications
  • Therapeutic Advances in Chronic Disease
  • Computational Intelligence and Neuroscience

Noteworthy recent publications by Cheng-Hong Yang feature research in forecasting techniques and biomedical data analysis:

  • "AIS-Based Intelligent Vessel Trajectory Prediction Using Bi-LSTM," 2022, IEEE Access
  • "Long Short-Term Memory Recurrent Neural Network for Tidal Level Forecasting," 2020, IEEE Access
  • "Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data," 2020, IEEE Transactions on Fuzzy Systems

Other significant papers linked to their network of coauthors include:

  • "Effective multinational trade forecasting using LSTM recurrent neural network," 2021, Expert Systems with Applications
  • "Analyzing the Performance of Machine Learning Techniques in Disease Prediction," 2022, Journal of Food Quality

Cheng-Hong Yang's frequent collaborators, suggesting a network of joint research efforts, include:

  • Li-Yeh Chuang
  • Yu-Da Lin
  • Sin-Hua Moi
  • Chih-Hsien Wu
  • Jin-Bor Chen

Best Publications

  • Improved binary PSO for feature selection using gene expression data

    Li-Yeh Chuang;Hsueh-Wei Chang;Chung-Jui Tu;Cheng-Hong Yang

  • Improved binary particle swarm optimization using catfish effect for feature selection

    Li-Yeh Chuang;Sheng-Wei Tsai;Cheng-Hong Yang

  • Chaotic maps based on binary particle swarm optimization for feature selection

    Li-Yeh Chuang;Cheng-Hong Yang;Jung-Chike Li

  • Chaotic particle swarm optimization for data clustering

    Li-Yeh Chuang;Chih-Jen Hsiao;Cheng-Hong Yang

  • Feature Selection using PSO-SVM.

    Chung-Jui Tu;Li-Yeh Chuang;Jun-Yang Chang;Cheng-Hong Yang

  • Specific primer design for the polymerase chain reaction.

    Li-Yeh Chuang;Yu-Huei Cheng;Cheng-Hong Yang

  • IG-GA: A Hybrid Filter/Wrapper Method for Feature Selection of Microarray Data

    Cheng-Huei Yang;Li-Yeh Chuang;Cheng-Hong Yang

  • A hybrid feature selection method for DNA microarray data

    Li-Yeh Chuang;Cheng-Huei Yang;Kuo-Chuan Wu;Cheng-Hong Yang

  • Chaotic catfish particle swarm optimization for solving global numerical optimization problems

    Li-Yeh Chuang;Sheng-Wei Tsai;Cheng-Hong Yang;Cheng-Hong Yang

  • Gene selection and classification using Taguchi chaotic binary particle swarm optimization

    Li-Yeh Chuang;Cheng-San Yang;Kuo-Chuan Wu;Cheng-Hong Yang

  • Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes

    Cheng-Hong Yang;Yu-Da Lin;Li-Yeh Chaung;Hsueh-Wei Chang

  • An Improved PSO Algorithm for Generating Protective SNP Barcodes in Breast Cancer

    Li-Yeh Chuang;Yu-Da Lin;Hsueh-Wei Chang;Cheng-Hong Yang

  • Tabu search and binary particle swarm optimization for feature selection using microarray data.

    Li-Yeh Chuang;Cheng-Huei Yang;Cheng-Hong Yang

  • A hybrid BPSO-CGA approach for gene selection and classification of microarray data.

    Li-Yeh Chuang;Cheng-Huei Yang;Jung-Chike Li;Cheng-Hong Yang

  • SNP-RFLPing: restriction enzyme mining for SNPs in genomes.

    Hsueh-Wei Chang;Cheng-Hong Yang;Phei-Lang Chang;Yu-Huei Cheng

  • SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping

    Hsueh-Wei Chang;Yu-Huei Cheng;Li-Yeh Chuang;Cheng-Hong Yang;Cheng-Hong Yang

  • Chaotic maps in binary particle swarm optimization for feature selection

    Cheng-San Yang;Li-Yeh Chuang;Jung-Chike Li;Cheng-Hong Yang

  • Sequence-Based Polymorphisms in the Mitochondrial D-Loop and Potential SNP Predictors for Chronic Dialysis

    Jin-Bor Chen;Yi-Hsin Yang;Wen-Chin Lee;Chia-Wei Liou

  • Long Short-Term Memory Recurrent Neural Network for Tidal Level Forecasting

    Cheng-Hong Yang;Chih-Hsien Wu;Chih-Min Hsieh

  • Computational analysis of simulated SNP interactions between 26 growth factor-related genes in a breast cancer association study.

    Cheng-Hong Yang;Li-Yeh Chuang;Yu-Jung Chen;Hung-Fu Tseng

  • Effective Multinational Trade Forecasting using LSTM Recurrent Neural Network

    Mei-Li Shen;Cheng-Feng Lee;Hsiou-Hsiang Liu;Po-Yin Chang

  • CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

    Cheng-Hong Yang;Cheng-Hong Yang;Li-Yeh Chuang;Yu-Da Lin

  • Boolean binary particle swarm optimization for feature selection

    Cheng-San Yang;Li-Yeh Chuang;Chao-Hsuan Ke;Cheng-Hong Yang

Frequent Co-Authors

Cheng Wen Lin
Cheng Wen Lin China Medical University

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