Sang-Uk Park

99 total papers · 468 total citations
58 papers, 342 citations indexed

About

Sang-Uk Park is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sang-Uk Park has authored 58 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sang-Uk Park's work include Machine Fault Diagnosis Techniques (11 papers), Semiconductor materials and devices (10 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Sang-Uk Park is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Semiconductor materials and devices (10 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Sang-Uk Park collaborates with scholars based in South Korea and United States. Sang-Uk Park's co-authors include Jung‐Hyuk Koh, Sun-Ki Hong, Dong-Jin Choi, Inhwan Han, Hyuk-Min Kwon, Hi‐Deok Lee, Chang‐Su Kim, Moo‐Sang Kim, Young-Yoon Lee and Seung‐Jun Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and TrAC Trends in Analytical Chemistry.

In The Last Decade

Sang-Uk Park

50 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Sang-Uk Park	166	72	53	47	41	58	342
Hongdong Zhao	146 0.9×	75 1.0×	13 0.2×	71 1.5×	22 0.5×	64	377
Chul-Woo Park	163 1.0×	24 0.3×	56 1.1×	62 1.3×	21 0.5×	58	400
Zhicheng Chen	102 0.6×	42 0.6×	77 1.5×	13 0.3×	40 1.0×	49	342
Kenji Murakami	113 0.7×	48 0.7×	104 2.0×	101 2.1×	91 2.2×	55	384
Ibrar Ali Shah	241 1.5×	65 0.9×	39 0.7×	27 0.6×	34 0.8×	40	397
Peng Wen	197 1.2×	41 0.6×	49 0.9×	31 0.7×	60 1.5×	47	354
Yang Pei	60 0.4×	50 0.7×	70 1.3×	19 0.4×	17 0.4×	60	351
Feng Yang	234 1.4×	65 0.9×	39 0.7×	27 0.6×	15 0.4×	28	365
Shuxin Du	113 0.7×	45 0.6×	57 1.1×	56 1.2×	64 1.6×	41	380
Liang Li	160 1.0×	31 0.4×	36 0.7×	21 0.4×	48 1.2×	35	351

Countries citing papers authored by Sang-Uk Park

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Uk Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Uk Park. 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 Sang-Uk Park. The network helps show where Sang-Uk Park may publish in the future.

Co-authorship network of co-authors of Sang-Uk Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Uk Park. A scholar is included among the top collaborators of Sang-Uk Park 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 Sang-Uk Park. Sang-Uk Park 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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