World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9857
World Ranking
5125
National Ranking
37

Overview

Jui-Sheng Chou is affiliated with the National Taiwan University of Science and Technology in Taiwan. Their research spans multiple fields within engineering, with significant contributions to civil and structural engineering, electrical and electronic engineering, artificial intelligence, management science and operations research, as well as building and construction.

Their main research topics cover a range of applied and theoretical issues, including infrastructure maintenance and monitoring, energy load and power forecasting, metaheuristic optimization algorithms, structural health monitoring techniques, advanced multi-objective optimization algorithms, stock market forecasting methods, and building energy and comfort optimization.

Chou has frequently published in the following venues:

  • Automation in Construction
  • International Journal of Energy Research
  • Applied Soft Computing
  • Journal of Civil Engineering and Management
  • Journal of Building Engineering

The scientist has collaborated regularly with other researchers, including Chi-Yun Liu, Dinh-Nhat Truong, Wai Oswald Chong, Ngoc-Mai Nguyen, and Asmare Molla, reflecting ongoing cooperative work within their research community.

Some of their recent papers provide insight into their focus on metaheuristic optimization methods and applications. Notable publications include:

  • "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean" (2020) published in Applied Mathematics and Computation
  • "FBI inspired meta-optimization" (2020) published in Applied Soft Computing
  • "Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems" (2020) published in Chaos Solitons & Fractals
  • "Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems" (2022) published in Scientific Reports
  • "Multistep energy consumption forecasting by metaheuristic optimization of time-series analysis and machine learning" (2020) published in International Journal of Energy Research

Best Publications

  • A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

    Jui-Sheng Chou;Dinh-Nhat Truong

  • 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

  • Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

    Jui-Sheng Chou;Dac-Khuong Bui

  • Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

    Jui-Sheng Chou;Chien-Kuo Chiu;Mahmoud Farfoura;Ismail Al-Taharwa

  • A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

    Dac-Khuong Bui;Tuan Nguyen;Jui-Sheng Chou;H. Nguyen-Xuan

  • Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

    Jui-Sheng Chou;Anh-Duc Pham

  • Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model

    Hyojoo Son;Yoora Park;Changwan Kim;Jui-Sheng Chou

  • Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders

    Jui-Sheng Chou;Duc-Son Tran

  • Failure analysis of wind turbine blade under critical wind loads

    Jui-Sheng Chou;Chien-Kuo Chiu;I-Kui Huang;Kai-Ning Chi

  • Failure analysis and risk management of a collapsed large wind turbine tower

    Jui-Sheng Chou;Wan-Ting Tu

  • A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea

    Jui-Sheng Chou;Changwan Kim

  • BIM integrated smart monitoring technique for building fire prevention and disaster relief

    Min-Yuan Cheng;Kuan-Chang Chiu;Yo-Ming Hsieh;I-Tung Yang

  • Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects

    Jui-Sheng Chou;H. Ping Tserng;Chieh Lin;Chun-Pin Yeh

  • Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression

    Jui-Sheng Chou;Thi-Kha Nguyen

  • Real-time detection of anomalous power consumption

    Jui-Sheng Chou;Abdi Suryadinata Telaga

  • Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

    Jui-Sheng Chou;Ngoc-Tri Ngo

  • FBI inspired meta-optimization

    Jui-Sheng Chou;Ngoc-Mai Nguyen

  • Cost simulation in an item-based project involving construction engineering and management

    Jui-Sheng Chou

  • Life cycle carbon dioxide emissions simulation and environmental cost analysis for building construction

    Jui-Sheng Chou;Kuan-Chih Yeh

  • Implementing sustainable development in the construction industry: constructors' perspectives in the US and Korea

    Hyojoo Son;Changwan Kim;Wai Kiong Chong;Jui Sheng Chou

  • High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model

    Min-Yuan Cheng;Jui-Sheng Chou;Andreas F.V. Roy;Yu-Wei Wu

  • Concrete compressive strength analysis using a combined classification and regression technique

    Jui Sheng Chou;Chih Fong Tsai

  • Web-based CBR system applied to early cost budgeting for pavement maintenance project

    Jui-Sheng Chou

  • Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering

    Jui-Sheng Chou;Anh-Duc Pham;Anh-Duc Pham

  • Determining quality of water in reservoir using machine learning

    Jui-Sheng Chou;Chia-Chun Ho;Chia-Chun Ho;Ha-Son Hoang

  • Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation

    Jui-Sheng Chou;Anh-Duc Pham;Hsin Wang

Frequent Co-Authors

Min-Yuan Cheng
Min-Yuan Cheng National Taiwan University of Science and Technology
Chih-Fong Tsai
Chih-Fong Tsai National Central University
Kuei-Hsien Chen
Kuei-Hsien Chen Academia Sinica
Li-Chyong Chen
Li-Chyong Chen National Taiwan University
Chang-Ping Yu
Chang-Ping Yu National Taiwan University
Anyi Hu
Anyi Hu Chinese Academy of Sciences
Tuan Ngo
Tuan Ngo University of Melbourne

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