Mu‐Chen Chen

7.1k total citations · 2 hit papers
112 papers, 5.3k citations indexed

About

Mu‐Chen Chen is a scholar working on Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Mu‐Chen Chen has authored 112 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 22 papers in Organizational Behavior and Human Resource Management and 20 papers in Marketing. Recurrent topics in Mu‐Chen Chen's work include Customer Service Quality and Loyalty (21 papers), Technology Adoption and User Behaviour (15 papers) and Digital Marketing and Social Media (13 papers). Mu‐Chen Chen is often cited by papers focused on Customer Service Quality and Loyalty (21 papers), Technology Adoption and User Behaviour (15 papers) and Digital Marketing and Social Media (13 papers). Mu‐Chen Chen collaborates with scholars based in Taiwan, India and United States. Mu‐Chen Chen's co-authors include Chia‐Lin Hsu, Cheng-Lung Huang, Chieh-Jen Wang, Wei Yu, Yu‐Hsiang Hsiao, Kuo‐Chien Chang, Kuo-Chien Chang, Long‐Sheng Chen, Kai-Ying Chen and Taho Yang and has published in prestigious journals such as Computers in Human Behavior, Trends in Food Science & Technology and Expert Systems with Applications.

In The Last Decade

Mu‐Chen Chen

107 papers receiving 5.1k citations

Hit Papers

Credit scoring with a data mining approach based on suppo... 2006 2026 2012 2019 2006 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mu‐Chen Chen Taiwan 39 944 855 853 793 768 112 5.3k
In Lee South Korea 40 621 0.7× 685 0.8× 1.2k 1.4× 552 0.7× 193 0.3× 338 9.5k
Zhongsheng Hua China 37 584 0.6× 835 1.0× 760 0.9× 532 0.7× 161 0.2× 167 5.7k
Ramesh Sharda United States 32 1.5k 1.6× 332 0.4× 587 0.7× 355 0.4× 307 0.4× 139 6.7k
Shu-Hsien Liao Taiwan 40 1.1k 1.2× 906 1.1× 786 0.9× 313 0.4× 117 0.2× 130 6.3k
Yongtae Park South Korea 48 647 0.7× 1.0k 1.2× 618 0.7× 339 0.4× 158 0.2× 162 7.1k
Arpan Kumar Kar India 48 1.9k 2.0× 1.1k 1.3× 2.3k 2.7× 519 0.7× 205 0.3× 188 8.1k
Wu He United States 41 1.6k 1.7× 660 0.8× 2.0k 2.4× 988 1.2× 116 0.2× 144 9.1k
Ching‐Hsue Cheng Taiwan 43 1.5k 1.6× 397 0.5× 356 0.4× 298 0.4× 182 0.2× 211 8.3k
James Manyika United Kingdom 18 977 1.0× 383 0.4× 787 0.9× 479 0.6× 123 0.2× 36 6.3k
David Budgen United Kingdom 34 2.3k 2.5× 338 0.4× 933 1.1× 402 0.5× 212 0.3× 130 10.7k

Countries citing papers authored by Mu‐Chen Chen

Since Specialization
Citations

This map shows the geographic impact of Mu‐Chen Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mu‐Chen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu‐Chen Chen more than expected).

Fields of papers citing papers by Mu‐Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Chen Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mu‐Chen Chen. The network helps show where Mu‐Chen Chen may publish in the future.

Co-authorship network of co-authors of Mu‐Chen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mu‐Chen Chen. A scholar is included among the top collaborators of Mu‐Chen Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mu‐Chen Chen. Mu‐Chen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hsiao, Yu‐Hsiang, et al.. (2025). Service improvement through value co-creation framework for e-tailing logistics with analytics on customer complaints. Research in Transportation Business & Management. 61. 101416–101416.
3.
Chen, Mu‐Chen, et al.. (2025). Exploring barriers and developing strategies for implementing smart supply chain management with Delphi method and ISM-MICMAC. Research in Transportation Business & Management. 62. 101439–101439. 1 indexed citations
4.
Chen, Mu‐Chen, et al.. (2025). Sustainable global semiconductor supply chain network design considering ESG. Technology in Society. 81. 102829–102829. 7 indexed citations
5.
Chen, Mu‐Chen, et al.. (2024). Investigating the impact of consumer environmental consciousness on food supply chain: The case of plant-based meat alternatives. Technological Forecasting and Social Change. 201. 123190–123190. 11 indexed citations
6.
Huang, Yanbing, et al.. (2024). Optimized vehicle exploitation period decision in cold-chain logistics companies. Research in Transportation Business & Management. 57. 101235–101235. 2 indexed citations
7.
Chen, Mu‐Chen, et al.. (2023). The EU emissions trading system and airline low-carbon transition: A game-theoretic approach. Journal of Air Transport Management. 110. 102407–102407. 5 indexed citations
8.
Chen, Mu‐Chen, et al.. (2023). Optimize railway crew scheduling by using modified bacterial foraging algorithm. Computers & Industrial Engineering. 180. 109218–109218. 7 indexed citations
9.
Chen, Mu‐Chen, et al.. (2023). Enablers of blockchain adoption on supply chain with dynamic capability perspectives with ISM-MICMAC analysis. Annals of Operations Research. 6 indexed citations
10.
Chen, Mu‐Chen, et al.. (2016). The Self-Learning Particle Swarm Optimization approach for routing pickup and delivery of multiple products with material handling in multiple cross-docks. Transportation Research Part E Logistics and Transportation Review. 91. 208–226. 52 indexed citations
11.
Hsiao, Yu‐Hsiang, et al.. (2016). Distribution planning for perishable foods in cold chains with quality concerns: Formulation and solution procedure. Trends in Food Science & Technology. 61. 80–93. 95 indexed citations
12.
Bansal, Prateek, Mu‐Chen Chen, & Chun-Chin Hsu. (2015). A Freeway Travel Time Prediction and Feature Selection Model Integrating Principal Component Analysis and Neural Networks. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
13.
Chiang, David M., Chia‐Ping Lin, & Mu‐Chen Chen. (2011). The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres. Enterprise Information Systems. 5(2). 219–234. 147 indexed citations
14.
Hsu, Chia‐Lin, et al.. (2011). Exploring Logistics Services Quality in Home Delivery Industry: Do Service Providers and Customers Have Different Viewpoints?. 18(5). 439–454. 10 indexed citations
15.
Chang, Kuo-Chien & Mu‐Chen Chen. (2011). Applying the Kano model and QFD to explore customers' brand contacts in the hotel business: A study of a hot spring hotel. Total Quality Management & Business Excellence. 22(1). 1–27. 61 indexed citations
16.
Chen, Mu‐Chen, et al.. (2010). The evolutionary process and collaboration in supply chains. Industrial Management & Data Systems. 110(3). 453–474. 23 indexed citations
17.
Chen, Mu‐Chen, et al.. (2006). OPTIMIZING JOINT MAINTENANCE AND STOCK PROVISIONING POLICY FOR A MULTI-ECHELON SPARE PART LOGISTICS NETWORK. Journal of the Chinese Institute of Industrial Engineers. 23(4). 289–302. 20 indexed citations
18.
Chen, Mu‐Chen, Hung‐Chang Liao, & Cheng-Lung Huang. (2006). Predicting Breast Tumor via Mining DNA Viruses with Decision Tree. 3585–3589. 3 indexed citations
19.
Chen, Mu‐Chen, et al.. (2004). A data mining based clustering approach to group technology. 3. 3554–3558.
20.
Su, Chao & Mu‐Chen Chen. (1997). Optimizing parameters for machining general continuous forms using genetic algorithm. International journal of industrial engineering. 4(2). 103–114. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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