Min Hun Lee
- Rehabilitation top 5%
- Artificial Intelligence
- Safety Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Informatics top 2%
- Co-authors
- Alexandre BernardinoAsim SmailagicSergi Bermúdez i BadiaDaniel P. SiewiorekLogan StapletonAlexandra ChouldechovaKen HolsteinHaiyi Zhu
- Topics
- Stroke Rehabilitation and Recovery (11 papers)Acute Ischemic Stroke Management (4 papers)Context-Aware Activity Recognition Systems (3 papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation EngineeringJournal of NeuroEngineering and RehabilitationUser Modeling and User-Adapted Interaction
- Partner nations
- United StatesPortugalSingapore
In The Last Decade
Min Hun Lee
15 papers receiving 315 citations
Peers
Comparison fields: 5 of 77
- Rehabilitation 106
- Artificial Intelligence 91
- Safety Research 63
- Computer Vision and Pattern Recognition 60
- Health Informatics 55
Countries citing papers authored by Min Hun Lee
This map shows the geographic impact of Min Hun 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 Hun 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 Hun Lee more than expected).
Fields of papers citing papers by Min Hun Lee
This network shows the impact of papers produced by Min Hun 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 Hun Lee. The network helps show where Min Hun Lee may publish in the future.
Co-authorship network of co-authors of Min Hun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Min Hun Lee. A scholar is included among the top collaborators of Min Hun 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 Min Hun Lee. Min Hun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 42 | |
| 6 | 11 | |
| 7 | 26 | |
| 8 | 75 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 20 | |
| 12 | 4 | |
| 13 | 49 | |
| 14 | 6 | |
| 15 | 8 |
About Min Hun Lee
Min Hun Lee is a scholar working on Rehabilitation, Health Informatics and Health Information Management, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (11 papers), Acute Ischemic Stroke Management (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Health Informatics (55 citations), Rehabilitation (106 citations) and Safety Research (63 citations). Min Hun Lee has collaborated with scholars based in United States, Portugal and Singapore. Frequent co-authors include Alexandre Bernardino, Asim Smailagic, Sergi Bermúdez i Badia, Daniel P. Siewiorek, Logan Stapleton, Alexandra Chouldechova, Ken Holstein, Haiyi Zhu and Zhiwei Steven Wu. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of NeuroEngineering and Rehabilitation and User Modeling and User-Adapted Interaction.
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.