Ming-Chi Lee

4.1k total citations · 2 hit papers
17 papers, 3.1k citations indexed

About

Ming-Chi Lee is a scholar working on Sociology and Political Science, Information Systems and Information Systems and Management. According to data from OpenAlex, Ming-Chi Lee has authored 17 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Ming-Chi Lee's work include Technology Adoption and User Behaviour (4 papers), Digital Marketing and Social Media (4 papers) and Software Reliability and Analysis Research (3 papers). Ming-Chi Lee is often cited by papers focused on Technology Adoption and User Behaviour (4 papers), Digital Marketing and Social Media (4 papers) and Software Reliability and Analysis Research (3 papers). Ming-Chi Lee collaborates with scholars based in Taiwan. Ming-Chi Lee's co-authors include Hsin‐Hung Yeh, Ho‐Ming Chen, Chun‐Nan Chou, Mei‐Ling Wang, Ming‐Huwi Horng, Ding-An Chiang, Wei‐Chiang Shen and Chyi‐Chuann Chen and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Computers & Education.

In The Last Decade

Ming-Chi Lee

13 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit

2008 1.5k citations Ming-Chi Lee Electronic Commerce Research and Applications profile →
Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

2009 962 citations Ming-Chi Lee Computers & Education profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming-Chi Lee Taiwan	6	1.9k	1.4k	570	497	351	17	3.1k
Hock Chuan Chan Singapore	23	2.0k 1.0×	1.9k 1.4×	770 1.4×	597 1.2×	365 1.0×	106	3.9k
Paul Legris Canada	3	2.0k 1.1×	1.3k 0.9×	351 0.6×	395 0.8×	198 0.6×	5	3.0k
Kenneth A. Kozar United States	19	1.7k 0.9×	1.3k 0.9×	534 0.9×	426 0.9×	270 0.8×	36	3.5k
Younghwa Lee United States	17	1.9k 1.0×	1.6k 1.1×	511 0.9×	478 1.0×	254 0.7×	23	3.5k
June Lu United States	20	2.8k 1.5×	2.4k 1.7×	819 1.4×	767 1.5×	269 0.8×	31	4.0k
Man Kit Chang Hong Kong	20	1.4k 0.7×	1.6k 1.2×	957 1.7×	539 1.1×	219 0.6×	34	3.0k
Teck-Soon Hew Malaysia	28	2.0k 1.0×	1.7k 1.2×	1.0k 1.8×	519 1.0×	444 1.3×	31	3.6k
Kuttimani Tamilmani United Kingdom	15	1.6k 0.8×	1.6k 1.2×	739 1.3×	295 0.6×	451 1.3×	18	3.2k
Leida Chen United States	25	1.8k 1.0×	1.6k 1.1×	712 1.2×	594 1.2×	140 0.4×	72	3.1k
Said S. Al‐Gahtani Saudi Arabia	13	1.4k 0.7×	815 0.6×	332 0.6×	314 0.6×	278 0.8×	19	2.2k

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-authorship network of co-authors of Ming-Chi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chi Lee. A scholar is included among the top collaborators of Ming-Chi Lee 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 Ming-Chi Lee. Ming-Chi Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wang, Mei‐Ling, et al.. (2023). Work interrupted at home: examining the influence of supportive teleworking practices on work–family conflict. Personnel Review. 53(6). 1361–1374.

Chen, Ho‐Ming, et al.. (2021). Identification of MaWRKY40 and MaDLO1 as Effective Marker Genes for Tracking the Salicylic Acid-Mediated Immune Response in Bananas. Phytopathology. 111(10). 1800–1810. 5 indexed citations

Lee, Ming-Chi, et al.. (2019). Cucumber mosaic virus-induced gene silencing in banana. Scientific Reports. 9(1). 11553–11553. 30 indexed citations

Horng, Ming‐Huwi, et al.. (2012). Firefly Algorithm for Training the Radial Basis Function Network for Data Classifications. Advanced Science Letters. 11(1). 755–758. 1 indexed citations

Lee, Ming-Chi, et al.. (2010). What Drives People to Continue to Play Online Games? An Extension of Technology Model and Theory of Planned Behavior. International Journal of Human-Computer Interaction. 26(6). 601–620. 185 indexed citations

Lee, Ming-Chi. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems. 47(2). 133–142. 193 indexed citations

Lee, Ming-Chi. (2009). Using support vector machine with a hybrid feature selection method to the stock trend prediction. Expert Systems with Applications. 36(8). 10896–10904. 222 indexed citations

Lee, Ming-Chi. (2009). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education. 54(2). 506–516. 962 indexed citations breakdown →

Lee, Ming-Chi. (2008). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications. 8(3). 130–141. 1483 indexed citations breakdown →

10.

Lee, Ming-Chi, et al.. (2005). A modified UTF-8 transformation format of ISO 10646 for storage optimization. Computer Standards & Interfaces. 28(6). 650–659.

11.

Lee, Ming-Chi, et al.. (2004). A Testing Framework Based on Finite Automata for Object-Oriented Software Specification. 59–87. 1 indexed citations

12.

Chiang, Ding-An & Ming-Chi Lee. (2003). Cyclic inheritance detection for object-oriented database. 6. 633–637.

13.

Lee, Ming-Chi, et al.. (2003). Object-oriented programming testing methodology. Tamkang University Institutional Repository (TKUIR). 1. 378–385. 3 indexed citations

14.

Lee, Ming-Chi, et al.. (2002). Class hierarchy based metric for object-oriented design. 1. 986–991. 4 indexed citations

15.

Lee, Ming-Chi. (1999). An Object-Oriented Testing Framework Specified in Z Notation. Journal of Applied Science and Engineering. 2(1). 11–22. 2 indexed citations

16.

Lee, Ming-Chi, et al.. (1992). Inheritance-Based Metric for Complexity Analysis in Object-Oriented Design.. Journal of information science and engineering. 8. 431–447. 4 indexed citations

17.

Lee, Ming-Chi, et al.. (1989). Object-oriented concurrent programming from testing view. 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.

Explore authors with similar magnitude of impact