Kun-Chan Lan
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Complementary and alternative medicine top 5%
- Co-authors
- John HeidemannChung‐Ming HuangChien‐Ming ChouMingzhi WeiMin‐Chun HuHenrik PetanderChenyuan LiNirupama Bulusu
- Topics
- Mobile Ad Hoc Networks (17 papers)Opportunistic and Delay-Tolerant Networks (15 papers)Vehicular Ad Hoc Networks (VANETs) (13 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComplementary and alternative medicine
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Kun-Chan Lan
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Computer Networks and Communications 1.1k
- Electrical and Electronic Engineering 815
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 97
- Complementary and alternative medicine 88
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-authorship network of co-authors of Kun-Chan Lan
This figure shows the co-authorship network connecting the top 25 collaborators of Kun-Chan Lan. A scholar is included among the top collaborators of Kun-Chan Lan 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 Kun-Chan Lan. Kun-Chan Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 28 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 292 | |
| 16 | 6 | |
| 17 | 28 | |
| 18 | Rapid generation of structural model from network measurements | 1 |
| 19 | 39 | |
| 20 | 9 |
About Kun-Chan Lan
Kun-Chan Lan is a scholar working on Computer Networks and Communications, Complementary and alternative medicine and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (17 papers), Opportunistic and Delay-Tolerant Networks (15 papers) and Vehicular Ad Hoc Networks (VANETs) (13 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (815 citations) and Complementary and alternative medicine (88 citations). Kun-Chan Lan has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include John Heidemann, Chung‐Ming Huang, Chien‐Ming Chou, Mingzhi Wei, Min‐Chun Hu, Henrik Petander, Chenyuan Li, Nirupama Bulusu, Jeremy Elson and Chalermek Intanagonwiwat. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.