Feipei Lai
- Health Informatics top 2%
- Health Information Management top 0.5%
- Electronic Health Records Systems 16
- Signal Processing top 2%
- Information Systems top 1%
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- Parallel Computing and Optimization Techniques 33
- Embedded Systems Design Techniques 13
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- Low-power high-performance VLSI design 21
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- EEG and Brain-Computer Interfaces 17
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- Machine Learning in Healthcare 17
- Cryptography and Data Security 16
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- Mobile Health and mHealth Applications 14
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 43 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 17 | |
| 15 | 2019 | 29 | |
| 16 | 2018 | 13 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 16 | |
| 19 | Real-time Automated MDRO Surveillance System. | 2009 | 3 |
| 20 | Modified Cryptographic Key Assignment Scheme for a Group-Oriented User Hierarchy | 1997 | 2 |
About Feipei Lai
Feipei Lai is a scholar working on Health Information Management, Hardware and Architecture, Issues, ethics and legal aspects, Occupational Therapy and Computer Networks and Communications, 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, Yueh‐Chun Lee, Yi‐Ju Tsai, Chong‐Jen Yu 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.