Ming-Chuan Chiu

Ming-Chuan Chiu

National Tsing Hua University

H-index: 25

Asia-Taiwan

About Ming-Chuan Chiu

Ming-Chuan Chiu, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at National Tsing Hua University, specializes in the field of Product Service System, Service Innovation, Sustainable Design, Smart Manufacturing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing an explainable hybrid deep learning model in digital transformation: an empirical study

Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System

Integrating DeblurGAN and CNN to improve the accuracy of motion blur X-Ray image classification

Integrating object detection and natural language processing models to build a personalized attraction recommendation agent in a smart product service system

Interpretable deep learning analysis on correction of motion blur X-ray images to ensure the efficiency and reliability of clinical decisions

Apply Deep Learning to Build a Personalized Attraction Recommendation System in a Smart Product Service System

Assessing innovation capabilities of manufacturing companies by combination of unsupervised and supervised machine learning approaches

A hybrid CNN-GRU based probabilistic model for load forecasting from individual household to commercial building

Ming-Chuan Chiu Information

University

Position

___

Citations(all)

1913

Citations(since 2020)

1330

Cited By

977

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

38

i10Index(since 2020)

34

Email

University Profile Page

National Tsing Hua University

Google Scholar

View Google Scholar Profile

Ming-Chuan Chiu Skills & Research Interests

Product Service System

Service Innovation

Sustainable Design

Smart Manufacturing

Top articles of Ming-Chuan Chiu

Title

Journal

Author(s)

Publication Date

Developing an explainable hybrid deep learning model in digital transformation: an empirical study

Journal of Intelligent Manufacturing

Ming-Chuan Chiu

Yu-Hsiang Chiang

Jing-Er Chiu

2024/4

Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System

Telemedicine and e-Health

Chun-Chia Chen

Chia-Jung Wei

Tsung-Yu Tseng

Ming-Chuan Chiu

Chi-Chang Chang

2024/3/21

Integrating DeblurGAN and CNN to improve the accuracy of motion blur X-Ray image classification

Journal of Nuclear Science and Technology

Ming-Chuan Chiu

Chia-Jung Wei

2024/3/3

Integrating object detection and natural language processing models to build a personalized attraction recommendation agent in a smart product service system

Advanced Engineering Informatics

Ming-Chuan Chiu

Cheng-Zhou Tsai

Yu-Chen Huang

2024/8/1

Interpretable deep learning analysis on correction of motion blur X-ray images to ensure the efficiency and reliability of clinical decisions

Radiation Effects and Defects in Solids

Ming-Chuan Chiu

Chia-Jung Wei

Jheng-Jie Li

2024/4/6

Apply Deep Learning to Build a Personalized Attraction Recommendation System in a Smart Product Service System

Cheng-Zhou Tsai

Hau Huang

Chia-Jung Wei

Ming-Chuan Chiu

2023/11/21

Assessing innovation capabilities of manufacturing companies by combination of unsupervised and supervised machine learning approaches

Applied Soft Computing

Gulsen Akman

Bahadir Yorur

Ali Ihsan Boyaci

Ming-Chuan Chiu

2023/11/1

A hybrid CNN-GRU based probabilistic model for load forecasting from individual household to commercial building

Energy Reports

Ming-Chuan Chiu

Hsin-Wei Hsu

Ke-Sin Chen

Chih-Yuan Wen

2023/10/1

Applying Hybrid Machine Learning Models to Assist Small and Medium Enterprises in Achieving Quality Prediction and Adaptive Digital Transformation: A Case Study of Injection …

Leveraging Transdisciplinary Engineering in a Changing and Connected World: Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, Hua Hin Cha Am, Thailand, July 11-14, 2023

Ming-Chuan CHIU

Yu-Jui HUANG

2023/11/21

Applying unsupervised learning method to develop a regional risk model based on TCFD: A case study in the United States

Journal of Cleaner Production

Ming-Chuan Chiu

Chia-Jung Wei

Yu-Ching Wang

Meng-Chun Kao

2023/5/10

Developing a Green Supplier Risk Assessment System Applying Natural Language Processing and Life Cycle Assessment: An Empirical Study

Leveraging Transdisciplinary Engineering in a Changing and Connected World: Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, Hua Hin Cha Am, Thailand, July 11-14, 2023

Pei-Yi TAI

Ming-Chuan CHIU

Chia-Jung WEI

2023/11/21

Constructing a (fair) load-reduction emergency demand response program: A fee-and-rebate pricing mechanism

International Journal of Electrical Power & Energy Systems

Yu-Ching Lee

Hsin-Wei Hsu

Yen-Chang Chang

Ying-Lien Chen

Ming-Chuan Chiu

2023/5/1

Integrating content-based image retrieval and deep learning to improve wafer bin map defect patterns classification

Journal of Industrial and Production Engineering

Ming-Chuan Chiu

Yen-Han Lee

Tao-Ming Chen

2022/11/17

Key wastes selection and prediction improvement for biogas production through hybrid machine learning methods

Sustainable Energy Technologies and Assessments

Ming-Chuan Chiu

Chih-Yuan Wen

Hsin-Wei Hsu

Wei-Cheng Wang

2022/8/1

Applying deep learning image recognition technology to promote environmentally sustainable behavior

Sustainable Production and Consumption

Ming-Chuan Chiu

Yen-Ling Tu

Meng-Chun Kao

2022/5/1

Potential of demand response for power reallocation, a literature review

Emmanuel Binyet

Ming-Chuan Chiu

Hsin-Wei Hsu

Meng-Ying Lee

Chih-Yuan Wen

2022/1/25

A novel directional object detection method for piled objects using a hybrid region-based convolutional neural network

Advanced Engineering Informatics

Ming-Chuan Chiu

Ho-Yen Tsai

Jing-Er Chiu

2022/1/1

Applying transfer learning to achieve precision marketing in an omni-channel system–a case study of a sharing kitchen platform

International Journal of Production Research

Ming-Chuan Chiu

Kai-Hsiang Chuang

2021/12/17

Development of a data-driven smart product service system framework utilizing unsupervised learning model

International Journal of Industrial Engineering: Theory, Applications and Practice

Ming-Chuan Chiu

Cheng-Yen Chang

Tsai-Chi Kuo

Jih-Hung Huang

Saraj Gupta

...

2021/1/1

Applying data augmentation and mask R-CNN-based instance segmentation method for mixed-type wafer maps defect patterns classification

IEEE Transactions on Semiconductor Manufacturing

Ming-Chuan Chiu

Tao-Ming Chen

2021/10/8

See List of Professors in Ming-Chuan Chiu University(National Tsing Hua University)