Yung‐Hui Chung

48 total papers · 421 total citations
42 papers, 314 citations indexed

About

Yung‐Hui Chung is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yung‐Hui Chung has authored 42 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 39 papers in Biomedical Engineering and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yung‐Hui Chung's work include Analog and Mixed-Signal Circuit Design (39 papers), CCD and CMOS Imaging Sensors (36 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Yung‐Hui Chung is often cited by papers focused on Analog and Mixed-Signal Circuit Design (39 papers), CCD and CMOS Imaging Sensors (36 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Yung‐Hui Chung collaborates with scholars based in Taiwan, China and United States. Yung‐Hui Chung's co-authors include Jieh-Tsorng Wu, Bo‐Wei Chen, Yu‐Hsiang Wang, Wei‐Chung Lin, Yung‐Chi Chang, Chung‐Wei Lin and J.B. Kuo and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Yung‐Hui Chung

36 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Yung‐Hui Chung	305	298	36	31	10	42	314
Min-Jae Seo	309 1.0×	262 0.9×	28 0.8×	28 0.9×	10 1.0×	24	319
Hirokazu Yoshizawa	303 1.0×	284 1.0×	26 0.7×	23 0.7×	11 1.1×	19	313
Mehdi Azadmehr	232 0.8×	175 0.6×	32 0.9×	29 0.9×	5 0.5×	60	301
Tao He	328 1.1×	335 1.1×	46 1.3×	41 1.3×	5 0.5×	36	362
Shiuh-Hua Wood Chiang	238 0.8×	197 0.7×	16 0.4×	15 0.5×	9 0.9×	46	272
Yao Shi	298 1.0×	138 0.5×	63 1.8×	15 0.5×	12 1.2×	21	340
F. Maloberti	229 0.8×	185 0.6×	30 0.8×	14 0.5×	13 1.3×	31	252
Dengquan Li	344 1.1×	329 1.1×	25 0.7×	38 1.2×	10 1.0×	47	362
Q. Huang	321 1.1×	134 0.4×	20 0.6×	35 1.1×	13 1.3×	21	350
Patricia Desgreys	244 0.8×	203 0.7×	40 1.1×	16 0.5×	7 0.7×	49	285

Countries citing papers authored by Yung‐Hui Chung

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Hui Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Hui Chung. 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 Yung‐Hui Chung. The network helps show where Yung‐Hui Chung may publish in the future.

Co-authorship network of co-authors of Yung‐Hui Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Hui Chung. A scholar is included among the top collaborators of Yung‐Hui Chung 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 Yung‐Hui Chung. Yung‐Hui Chung 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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