Ming-Chi Lee

13 papers receiving 2.8k citations

Hit Papers

Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model 2009 · 962 citations
96220082026201420204008001.2k

Peers

Ming-Chi Lee
Comparison fields: 5 of 117
  • Information Systems and Management 1.9k
  • Marketing 570
  • Organizational Behavior and Human Resource Management 497
  • Communication 237
  • Sociology and Political Science 1.4k
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Hock Chuan Chan Singapore
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Countries citing papers authored by Ming-Chi Lee

Since Specialization
Citations

This map shows the geographic impact of Ming-Chi Lee'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 Ming-Chi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Chi Lee more than expected).

Fields of papers citing papers by Ming-Chi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chi Lee. 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 Ming-Chi Lee. The network helps show where Ming-Chi Lee may publish in the future.

Co-authors

The 8 scholars most cited alongside Ming-Chi Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-Chi Lee Line = papers co-authored together Ming-Chi Lee links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit
Hit paper breakdown →
20081483
2
Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model
Hit paper breakdown →
2009962
3 2009222
4 2009193
5 2010185
6 201930
7 20215
8
Inheritance-Based Metric for Complexity Analysis in Object-Oriented Design.
19924
9 20024
10 20033
11 19992
12
A Testing Framework Based on Finite Automata for Object-Oriented Software Specification
20041
13
Object-oriented concurrent programming from testing view
19891
14 20121
15 20030
16 20230
17 20050

About Ming-Chi Lee

Ming-Chi Lee is a scholar working on Sociology and Political Science, Information Systems, Information Systems and Management, Artificial Intelligence and Software, having authored 17 papers that have together received 3.1k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Technology Adoption and User Behaviour (4 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers), Customer Service Quality and Loyalty (2 papers), Plant Virus Research Studies (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Information Systems and Management (1.9k citations), Marketing (570 citations), Organizational Behavior and Human Resource Management (497 citations), Communication (237 citations) and Sociology and Political Science (1.4k citations). Ming-Chi Lee has collaborated with scholars based in Taiwan. Frequent co-authors include Ho‐Ming Chen, Hsin‐Hung Yeh, Chun‐Nan Chou, Mei‐Ling Wang, Wei‐Chiang Shen, Chyi‐Chuann Chen, Ding-An Chiang and Ming‐Huwi Horng. Their work appears in journals such as Decision Support Systems, Scientific Reports, Computers & Education, Electronic Commerce Research and Applications and Phytopathology.

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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