World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
12154
World Ranking
3663
National Ranking
25

Overview

Wei-Chiang Hong is affiliated with Asia Eastern University of Science and Technology in Taiwan. Their research activity is concentrated in the fields of Engineering and Computer Science, with a substantial body of work in Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

Their main research topics encompass Energy Load and Power Forecasting, Grey System Theory Applications, Machine Fault Diagnosis Techniques, Image and Signal Denoising Methods, Advanced Algorithms and Applications, Maritime Ports and Logistics, as well as IoT and Edge/Fog Computing.

Frequently collaborating co-authors include Guo-Feng Fan, Li-Ling Peng, Pradeep Kumar Singh, Hsin-Pou Huang, and Yi-Hsuan Yeh.

Wei-Chiang Hong has published extensively in venues such as IEEE Access, Applied Soft Computing, Sustainability, Nonlinear Dynamics, and Sensors.

Selected recent papers include:

  • Internet of Things: Evolution, Concerns and Security Challenges, 2021, Sensors
  • Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads, 2021, Knowledge-Based Systems
  • Applications of random forest in multivariable response surface for short-term load forecasting, 2022, International Journal of Electrical Power & Energy Systems
  • A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems, 2020, IEEE Access
  • A hybrid approach for forecasting ship motion using CNN-GRU-AM and GCWOA, 2021, Applied Soft Computing

Best Publications

  • Consensus models for AHP group decision making under row geometric mean prioritization method

    Yucheng Dong;Guiqing Zhang;Wei-Chiang Hong;Yinfeng Xu

  • Support vector machines with simulated annealing algorithms in electricity load forecasting

    Ping-Feng Pai;Wei-Chiang Hong

  • Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms

    Ping-Feng Pai;Wei-Chiang Hong

  • Electric load forecasting by support vector model

    Wei-Chiang Hong

  • Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward

    Sudeep Tanwar;Qasim Bhatia;Pruthvi Patel;Aparna Kumari

  • Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model

    Wei-Chiang Hong

  • Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm

    Wei-Chiang Hong

  • SVR with hybrid chaotic genetic algorithms for tourism demand forecasting

    Wei-Chiang Hong;Yucheng Dong;Li-Yueh Chen;Shih-Yung Wei

  • Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm

    Rong Chen;Chang-Yong Liang;Wei-Chiang Hong;Dong-Xiao Gu

  • Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm

    Wei-Chiang Hong

  • Rainfall forecasting by technological machine learning models

    Wei-Chiang Hong

  • Short term load forecasting based on feature extraction and improved general regression neural network model

    Yi Liang;Dongxiao Niu;Wei-Chiang Hong

  • Software reliability forecasting by support vector machines with simulated annealing algorithms

    Ping-Feng Pai;Wei-Chiang Hong

  • Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

    Guo-Feng Fan;Li-Ling Peng;Wei-Chiang Hong;Fan Sun

  • Internet of Things: Evolution, Concerns and Security Challenges

    Parushi Malhotra;Yashwant Singh;Pooja Anand;Deep Kumar Bangotra

  • Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm

    Wei-Chiang Hong;Yucheng Dong;Wen Yu Zhang;Li-Yueh Chen

  • Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

    Zichen Zhang;Wei-Chiang Hong

  • Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads

    Zichen Zhang;Wei-Chiang Hong

  • Forecasting urban traffic flow by SVR with continuous ACO

    Wei-Chiang Hong;Yucheng Dong;Feifeng Zheng;Chien-Yuan Lai

  • Linguistic Computational Model Based on 2-Tuples and Intervals

    Yucheng Dong;Guiqing Zhang;Wei-Chiang Hong;Shui Yu

  • Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model

    Guo-Feng Fan;Li-Ling Peng;Wei-Chiang Hong

  • Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting

    Wei-Chiang Hong;Wei-Chiang Hong

Frequent Co-Authors

Yucheng Dong
Yucheng Dong Sichuan University
Shui Yu
Shui Yu University of Technology Sydney
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi
Sudeep Tanwar
Sudeep Tanwar Marwadi University
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science doesn't always mean pursuing a traditional four-year degree. If you're seeking a faster track, the shortest online masters degree programs can help you accelerate your education and enter the workforce more quickly. These programs are designed for those who want to enhance their credentials without spending years in school.

If value and career impact are your priorities, identifying graduate degrees that are worth it can help guide you toward high-demand fields like data science, artificial intelligence, and cybersecurity. Many of these degrees are now offered entirely online, making them more accessible than ever before.

For those just starting their academic journey, an associate degree online in computer science or IT can be an affordable and flexible way to gain foundational skills. These programs offer a pathway to entry-level jobs or further education.

Additionally, aspiring students often look for cheap online degrees fast to minimize debt and start their careers sooner. With so many accredited online programs available, it’s easier than ever to find flexible and budget-friendly options that suit your goals.

Best Scientists Citing Wei-Chiang Hong

Trending Scientists

Recently Published Articles