Ming-Che Lee

1.1k citations
54 papers · 721 · h-index 15

Impact in

Papers in

Ming-Che Lee

50 papers receiving 661 citations

Peers

Ming-Che Lee
Comparison fields: 5 of 90
  • Computer Science Applications 191
  • Information Systems 248
  • Artificial Intelligence 337
  • Management Science and Operations Research 96
  • Developmental and Educational Psychology 68
Replace Tak-Lam Wong with:
Tak-Lam Wong Hong Kong
Jawwad Ahmed Shamsi Pakistan
Alain Mille France
Deheng Ye China
Josep Lluís de la Rosa Spain
Rajni Jindal India
Manuel Lama Spain
Theresa Beaubouef United States
Francisco P. Romero Spain
Ming-Che Lee relative to Tak-Lam Wong Hong Kong Tak-Lam Wong's profile →
Citations per field
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Tak-Lam Wong · 1×
Citations per year

Countries citing papers authored by Ming-Che Lee

Since Specialization
Citations

This map shows the geographic impact of Ming-Che 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-Che 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-Che Lee more than expected).

Fields of papers citing papers by Ming-Che Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming-Che 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-Che Lee Line = papers co-authored together Ming-Che Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Personalized Learning Objects Recommendation based on the Semantic- Aware Discovery and the Learner Preference Pattern
200758
2 200656
3 200752
4 202043
5
A Fuzzy Logic-based Personalized Learning System for Supporting Adaptive English Learning
201243
6 200542
7 202040
8 201437
9 202235
10 201033
11
Designing and implementing a personalized remedial learning system for enhancing the programming learning
201332
12 202126
13 201526
14 202224
15 200914
16 201211
17 201111
18 202010
19 20079
20 20179

About Ming-Che Lee

Ming-Che Lee is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 721 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Open Education and E-Learning (7 papers), Topic Modeling (7 papers), Advanced Text Analysis Techniques (7 papers), Natural Language Processing Techniques (6 papers), Stock Market Forecasting Methods (6 papers), Microwave and Dielectric Measurement Techniques (4 papers) and Educational Technology and Assessment (4 papers). The work is most often cited by research in Computer Science Applications (191 citations), Information Systems (248 citations), Artificial Intelligence (337 citations), Management Science and Operations Research (96 citations) and Developmental and Educational Psychology (68 citations). Ming-Che Lee has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tzone I. Wang, Jia-Wei Chang, Chien‐Yuan Su, Sheng‐Cheng Yeh, Shu‐Yin Chiang, Dasheng Lee, Ching‐Hui Chen, Po‐Sheng Chiu, Jason C. Hung and Xuming Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Access, International Journal of Advancements in Computing Technology, Multimedia Tools and Applications and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.

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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