Min Lee
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
- Teaching and Learning Programming
Papers in
-
- Parallel Computing and Optimization Techniques 13
-
- Distributed and Parallel Computing Systems 8
- Advanced Data Storage Technologies 8
- Caching and Content Delivery 2
- Distributed Control Multi-Agent Systems 2
- Co-authors
- Yun DaiChing Sing ChaiIsmaila Temitayo SanusiThomas K. F. ChiuQi XiaJ. Stephen DownieSamuel Kai Wah ChuXiao Hu
- Journals
- ACM SIGPLAN Notices (3 papers)Education and Information Technologies (2 papers)IEEE Transactions on Computers (1 paper)Electronics (1 paper)Journal of Communications and Networks (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Min Lee
25 papers receiving 755 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Health Informatics 77
- Computer Science Applications 274
- Hardware and Architecture 181
- Information Systems 281
- Computer Networks and Communications 239
Countries citing papers authored by Min Lee
This map shows the geographic impact of Min 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 Min Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lee more than expected).
Fields of papers citing papers by Min Lee
This network shows the impact of papers produced by Min 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 Min Lee. The network helps show where Min Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 63 | |
| 6 | A review of AI teaching and learning from 2000 to 2020 Hit paper breakdown → | 2022 | 186 |
| 7 | A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education Hit paper breakdown → | 2022 | 252 |
| 8 | 2020 | 1 | |
| 9 | 2019 | 3 | |
| 10 | 2015 | 6 | |
| 11 | 2015 | 20 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 22 | |
| 15 | 2012 | 0 | |
| 16 | 2011 | 5 | |
| 17 | 2010 | 6 | |
| 18 | 2010 | 16 | |
| 19 | 2008 | 5 | |
| 20 | 2007 | 25 |
About Min Lee
Min Lee is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Human Factors and Ergonomics and Computer Science Applications, having authored 27 papers that have together received 790 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (14 papers), Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (8 papers), Online Learning and Analytics (2 papers), Caching and Content Delivery (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Innovative Education and Learning Practices (1 paper). The work is most often cited by research in Health Informatics (77 citations), Computer Science Applications (274 citations), Hardware and Architecture (181 citations), Information Systems (281 citations) and Computer Networks and Communications (239 citations). Min Lee has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Yun Dai, Ching Sing Chai, Ismaila Temitayo Sanusi, Thomas K. F. Chiu, Qi Xia, J. Stephen Downie, Samuel Kai Wah Chu, Xiao Hu, Davy Tsz Kit Ng and Karsten Schwan. Their work appears in journals such as ACM SIGPLAN Notices, Education and Information Technologies, IEEE Transactions on Computers, Electronics and Journal of Communications and Networks.
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.