Feipei Lai
Impact in
- Health Informatics top 2%
- Health Information Management top 0.5%
Papers in
-
- Machine Learning in Healthcare 17
- Cryptography and Data Security 16
- Co-authors
- Yu‐Fang Chung (21 shared papers)Te‐Wei Ho (37 shared papers)Hung‐Chang Lee (12 shared papers)Tzer‐Shyong Chen (20 shared papers)Zhen-Yu Wu (4 shared papers)Chun‐Ta Huang (9 shared papers)Chong‐Jen Yu (7 shared papers)Yi‐Ju Tsai (6 shared papers)
- Journals
- Journal of Medical Systems (18 papers)Scientific Reports (7 papers)Journal of Medical Internet Research (7 papers)Telemedicine Journal and e-Health (5 papers)PLoS ONE (5 papers)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Feipei Lai
273 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 177
- Health Informatics 87
- Health Information Management 255
- Computer Networks and Communications 720
- Signal Processing 278
- Information Systems 542
Countries citing papers authored by Feipei Lai
This map shows the geographic impact of Feipei Lai'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 Feipei Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feipei Lai more than expected).
Fields of papers citing papers by Feipei Lai
This network shows the impact of papers produced by Feipei Lai. 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 Feipei Lai. The network helps show where Feipei Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Feipei Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 206 | |
| 2 | 2015 | 122 | |
| 3 | 2014 | 84 | |
| 4 | 2021 | 73 | |
| 5 | 2013 | 64 | |
| 6 | 2011 | 62 | |
| 7 | 2016 | 58 | |
| 8 | 2017 | 55 | |
| 9 | 2012 | 55 | |
| 10 | 1997 | 52 | |
| 11 | 2018 | 50 | |
| 12 | 2004 | 49 | |
| 13 | 2011 | 47 | |
| 14 | 2021 | 43 | |
| 15 | 2019 | 43 | |
| 16 | 2020 | 42 | |
| 17 | 2007 | 42 | |
| 18 | 2007 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2007 | 37 |
About Feipei Lai
Feipei Lai is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture and Information Systems, having authored 293 papers that have together received 3.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Low-power high-performance VLSI design (21 papers), EEG and Brain-Computer Interfaces (17 papers), Machine Learning in Healthcare (17 papers), Cryptography and Data Security (16 papers), Electronic Health Records Systems (16 papers), Mobile Health and mHealth Applications (14 papers) and Embedded Systems Design Techniques (13 papers). The work is most often cited by research in Health Informatics (87 citations), Health Information Management (255 citations), Computer Networks and Communications (720 citations), Signal Processing (278 citations) and Information Systems (542 citations). Feipei Lai has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Yu‐Fang Chung, Te‐Wei Ho, Hung‐Chang Lee, Tzer‐Shyong Chen, Zhen-Yu Wu, Chun‐Ta Huang, Chong‐Jen Yu, Yi‐Ju Tsai, Yueh‐Chun Lee and Jin‐Ming Wu. Their work appears in journals such as Journal of Medical Systems, Scientific Reports, Journal of Medical Internet Research, Telemedicine Journal and e-Health and PLoS ONE.
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.