Hin-Fai Chau

42 total papers · 712 total citations
36 papers, 512 citations indexed

About

Hin-Fai Chau is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Hin-Fai Chau has authored 36 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 21 papers in Atomic and Molecular Physics, and Optics and 11 papers in Condensed Matter Physics. Recurrent topics in Hin-Fai Chau's work include Radio Frequency Integrated Circuit Design (25 papers), Semiconductor Quantum Structures and Devices (20 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Hin-Fai Chau is often cited by papers focused on Radio Frequency Integrated Circuit Design (25 papers), Semiconductor Quantum Structures and Devices (20 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Hin-Fai Chau collaborates with scholars based in United States, Taiwan and Japan. Hin-Fai Chau's co-authors include W. Liu, Edward Beam, D. Pavlidis, A. Khatibzadeh, Geok Ing Ng, K. Tomizawa, Dimitris Pavlidis, Jean-Louis Cazaux, Yung-Chung Kao and T. Henderson and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Electron Devices and Journal of Crystal Growth.

In The Last Decade

Hin-Fai Chau

35 papers receiving 468 citations

Author Peers

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

Author						Papers	Cites
Hin-Fai Chau	488	301	79	29	17	36	512
W.O. Schlosser	427 0.9×	208 0.7×	58 0.7×	22 0.8×	13 0.8×	29	457
J. Shibata	472 1.0×	173 0.6×	33 0.4×	38 1.3×	32 1.9×	24	508
M.R. Gokhale	561 1.1×	287 1.0×	60 0.8×	36 1.2×	48 2.8×	33	580
S.Y. Narayan	440 0.9×	335 1.1×	36 0.5×	29 1.0×	14 0.8×	52	482
A. Scavennec	437 0.9×	237 0.8×	35 0.4×	30 1.0×	23 1.4×	64	464
Matt Grupen	380 0.8×	301 1.0×	140 1.8×	28 1.0×	34 2.0×	38	459
Manabu Mitsuhara	474 1.0×	391 1.3×	40 0.5×	61 2.1×	46 2.7×	53	513
H. Hamaguchi	520 1.1×	328 1.1×	49 0.6×	70 2.4×	29 1.7×	38	570
Carl L. Dohrman	414 0.8×	248 0.8×	51 0.6×	82 2.8×	58 3.4×	30	456
T.E. Sale	439 0.9×	383 1.3×	59 0.7×	29 1.0×	38 2.2×	57	484

Countries citing papers authored by Hin-Fai Chau

Since Specialization

Citations

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

Fields of papers citing papers by Hin-Fai Chau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hin-Fai Chau. 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 Hin-Fai Chau. The network helps show where Hin-Fai Chau may publish in the future.

Co-authorship network of co-authors of Hin-Fai Chau

This figure shows the co-authorship network connecting the top 25 collaborators of Hin-Fai Chau. A scholar is included among the top collaborators of Hin-Fai Chau 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 Hin-Fai Chau. Hin-Fai Chau 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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