Kun-chan Lan
Impact in
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- Traditional Chinese Medicine Studies
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Wireless Body Area Networks 3
- Non-Invasive Vital Sign Monitoring 2
- Advanced Chemical Sensor Technologies 1
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- Context-Aware Activity Recognition Systems 3
- Co-authors
- Wei‐Fong Kao (1 shared paper)Gerhard Litscher (2 shared papers)Min‐Chun Hu (1 shared paper)Chien‐Ming Chou (1 shared paper)Fu-Zen Shaw (1 shared paper)Kuo‐Chih Tseng (1 shared paper)Tsung‐Jung Ho (1 shared paper)Chih‐En Kuo (1 shared paper)
- Journals
- Telemedicine Journal and e-Health (2 papers)Sensors (2 papers)Journal of Medical Systems (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)
- Partner nations
- TaiwanAustriaUnited States
In The Last Decade
Kun-chan Lan
12 papers receiving 249 citations
Peers
Comparison fields: 5 of 70
- Complementary and alternative medicine 50
- Computer Science Applications 28
- Transportation 23
- Physical Therapy, Sports Therapy and Rehabilitation 11
- Cardiology and Cardiovascular Medicine 56
Countries citing papers authored by Kun-chan Lan
This map shows the geographic impact of Kun-chan Lan'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 Kun-chan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun-chan Lan more than expected).
Fields of papers citing papers by Kun-chan Lan
This network shows the impact of papers produced by Kun-chan Lan. 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 Kun-chan Lan. The network helps show where Kun-chan Lan may publish in the future.
Co-authors
The 10 scholars most cited alongside Kun-chan Lan, 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 | 2013 | 53 | |
| 2 | 2018 | 49 | |
| 3 | 2017 | 38 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 18 | |
| 7 | 2012 | 17 | |
| 8 | 2019 | 10 | |
| 9 | 2012 | 10 | |
| 10 | 2015 | 7 | |
| 11 | 2011 | 4 | |
| 12 | 2013 | 1 |
About Kun-chan Lan
Kun-chan Lan is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Complementary and alternative medicine and Computer Networks and Communications, having authored 12 papers that have together received 254 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Wireless Body Area Networks (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Traditional Chinese Medicine Studies (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Complementary and alternative medicine (50 citations), Computer Science Applications (28 citations), Transportation (23 citations), Physical Therapy, Sports Therapy and Rehabilitation (11 citations) and Cardiology and Cardiovascular Medicine (56 citations). Kun-chan Lan has collaborated with scholars based in Taiwan, Austria and United States. Frequent co-authors include Wei‐Fong Kao, Gerhard Litscher, Min‐Chun Hu, Chien‐Ming Chou, Fu-Zen Shaw, Kuo‐Chih Tseng, Tsung‐Jung Ho, Chih‐En Kuo, Sheng‐Fu Liang and Shu‐Chen Chang. Their work appears in journals such as Telemedicine Journal and e-Health, Sensors, Journal of Medical Systems, Computer Methods and Programs in Biomedicine and Evidence-based Complementary and Alternative Medicine.
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.