Feipei Lai

287 papers receiving 3.8k citations

Peers

Feipei Lai
Comparison fields: 5 of 171
  • Health Information Management 234
  • Health Informatics 64
  • Computer Networks and Communications 788
  • Information Systems 648
  • Occupational Therapy 99
Replace Chinmay Chakraborty with:
Chinmay Chakraborty India
Sheikh Iqbal Ahamed United States
Konstantinos Votis Greece
Kashif Saleem Saudi Arabia
Giuseppe De Pietro Italy
José Neves Portugal
Fadi Thabtah United Kingdom
Ilias Maglogiannis Greece
José Luis Fernández‐Alemán Spain
Dinh Phung Australia
Feipei Lai relative to Chinmay Chakraborty India Chinmay Chakraborty's profile →
Citations per field
00.5×11.4×
Chinmay Chakraborty · 1×
Citations per year

Countries citing papers authored by Feipei Lai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feipei Lai Line = papers co-authored together Feipei Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010217
2 2015138
3 201489
4 202184
5 199769
6 201367
7 201165
8 201660
9 201758
10 201157
11 201257
12 202051
13 201851
14 200451
15 202150
16 201946
17 200746
18 200745
19 201341
20 200540

About Feipei Lai

Feipei Lai is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Hardware and Architecture, having authored 308 papers that have together received 4.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Low-power high-performance VLSI design (22 papers), Electronic Health Records Systems (17 papers), Cryptography and Data Security (16 papers), EEG and Brain-Computer Interfaces (16 papers), VLSI and FPGA Design Techniques (13 papers), Embedded Systems Design Techniques (13 papers) and Interconnection Networks and Systems (13 papers). The work is most often cited by research in Health Information Management (234 citations), Health Informatics (64 citations), Computer Networks and Communications (788 citations), Information Systems (648 citations) and Occupational Therapy (99 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, Yueh‐Chun Lee, Yi‐Ju Tsai 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.

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