Fa Foster Dai

204 total papers · 2.0k total citations
144 papers, 1.5k citations indexed

About

Fa Foster Dai is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Fa Foster Dai has authored 144 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Electrical and Electronic Engineering, 58 papers in Biomedical Engineering and 13 papers in Computational Theory and Mathematics. Recurrent topics in Fa Foster Dai's work include Radio Frequency Integrated Circuit Design (84 papers), Advancements in PLL and VCO Technologies (82 papers) and Analog and Mixed-Signal Circuit Design (55 papers). Fa Foster Dai is often cited by papers focused on Radio Frequency Integrated Circuit Design (84 papers), Advancements in PLL and VCO Technologies (82 papers) and Analog and Mixed-Signal Circuit Design (55 papers). Fa Foster Dai collaborates with scholars based in United States, China and Canada. Fa Foster Dai's co-authors include R.C. Jaeger, Jianjun Yu, J. David Irwin, Hechen Wang, Yin Shi, Yuan Yao, Feng Zhao, Zhenqi Chen, Jie Wu and John Rogers and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Journal of Solid-State Circuits and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Fa Foster Dai

134 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Fa Foster Dai	1.4k	598	154	124	85	144	1.5k
Takashi Morie	1.2k 0.9×	398 0.7×	56 0.4×	28 0.2×	72 0.8×	177	1.5k
K.R. Laker	791 0.6×	729 1.2×	37 0.2×	183 1.5×	93 1.1×	59	1.1k
Jennifer Hasler	1.1k 0.8×	557 0.9×	76 0.5×	34 0.3×	205 2.4×	103	1.5k
Sudhakar Pamarti	1.5k 1.1×	742 1.2×	32 0.2×	43 0.3×	68 0.8×	116	1.6k
Mika Laiho	999 0.7×	164 0.3×	77 0.5×	35 0.3×	54 0.6×	118	1.2k
H.J. Carlin	1.2k 0.8×	211 0.4×	72 0.5×	66 0.5×	36 0.4×	66	1.5k
A. Bellaouar	1.4k 1.0×	496 0.8×	221 1.4×	138 1.1×	225 2.6×	58	1.4k
Yasuhiro Takahashi	572 0.4×	223 0.4×	303 2.0×	36 0.3×	126 1.5×	173	1.3k
Kunihiro Asada	1.5k 1.1×	496 0.8×	62 0.4×	20 0.2×	321 3.8×	313	1.7k
Stanisław Szczepański	1.4k 1.0×	934 1.6×	33 0.2×	32 0.3×	144 1.7×	97	1.7k

Countries citing papers authored by Fa Foster Dai

Since Specialization

Citations

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

Fields of papers citing papers by Fa Foster Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa Foster Dai. 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 Fa Foster Dai. The network helps show where Fa Foster Dai may publish in the future.

Co-authorship network of co-authors of Fa Foster Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Foster Dai. A scholar is included among the top collaborators of Fa Foster Dai 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 Fa Foster Dai. Fa Foster Dai 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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