Wai Lee

78 total papers · 3.8k total citations
51 papers, 1.5k citations indexed

About

Wai Lee is a scholar working on Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism and Biomedical Engineering. According to data from OpenAlex, Wai Lee has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 9 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Biomedical Engineering. Recurrent topics in Wai Lee's work include Innovative Energy Harvesting Technologies (7 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Hormonal Regulation and Hypertension (6 papers). Wai Lee is often cited by papers focused on Innovative Energy Harvesting Technologies (7 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Hormonal Regulation and Hypertension (6 papers). Wai Lee collaborates with scholars based in United States, United Kingdom and China. Wai Lee's co-authors include Clifton G. Fonstad, T.P.E. Broekaert, Anna F. Dominiczak, Uming Ko, L V Avioli, Roberto Pacifici, Steven L. Teitelbaum, Leonard Rifas, Ruth McCracken and Michele A. Bergfeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Hypertension.

In The Last Decade

Wai Lee

51 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wai Lee 479 387 203 191 181 51 1.5k
Jianshuang Li 207 0.4× 578 1.5× 102 0.5× 199 1.0× 98 0.5× 77 1.5k
S Georgescu 300 0.6× 591 1.5× 65 0.3× 243 1.3× 70 0.4× 62 1.5k
Masahiro Nishi 253 0.5× 305 0.8× 152 0.7× 65 0.3× 111 0.6× 101 1.1k
Olli Jaakkola 189 0.4× 239 0.6× 158 0.8× 165 0.9× 64 0.4× 50 1.3k
Koji Asano 142 0.3× 606 1.6× 119 0.6× 90 0.5× 104 0.6× 90 1.5k
Takeshi Shibata 144 0.3× 591 1.5× 56 0.3× 152 0.8× 50 0.3× 89 1.6k
Masao Yano 260 0.5× 269 0.7× 56 0.3× 171 0.9× 33 0.2× 59 1.2k
Jian Shen 199 0.4× 344 0.9× 58 0.3× 79 0.4× 64 0.4× 42 1.4k
Makoto Abe 459 1.0× 254 0.7× 119 0.6× 232 1.2× 14 0.1× 84 1.3k
Nagaoki Toyoda 139 0.3× 379 1.0× 635 3.1× 68 0.4× 94 0.5× 76 1.2k

Countries citing papers authored by Wai Lee

Since Specialization
Citations

This map shows the geographic impact of Wai Lee'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 Wai Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Lee more than expected).

Fields of papers citing papers by Wai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Lee. 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 Wai Lee. The network helps show where Wai Lee may publish in the future.

Co-authorship network of co-authors of Wai Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wai Lee. A scholar is included among the top collaborators of Wai Lee 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 Wai Lee. Wai Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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