Hyung-Chan Kim

45 total papers · 484 total citations
26 papers, 360 citations indexed

About

Hyung-Chan Kim is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Hyung-Chan Kim has authored 26 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Mechanical Engineering and 3 papers in Molecular Biology. Recurrent topics in Hyung-Chan Kim's work include Advanced Measurement and Metrology Techniques (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Hyung-Chan Kim is often cited by papers focused on Advanced Measurement and Metrology Techniques (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Hyung-Chan Kim collaborates with scholars based in South Korea, United States and France. Hyung-Chan Kim's co-authors include Kyung Hyun Choi, Man‐Kyo Chung, Malik Muhammad Nauman, Navaneethan Duraisamy, Jeongdai Jo, Jee‐Peng Tan, Alain Mingat, Seung-Kyu Park, Min‐Jung Kang and Heewon Seo and has published in prestigious journals such as Journal of Neurophysiology, Thin Solid Films and Journal of Materials Processing Technology.

In The Last Decade

Hyung-Chan Kim

21 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Hyung-Chan Kim 97 74 73 72 63 26 360
Jialin Chen 27 0.3× 33 0.4× 126 1.7× 21 0.3× 19 0.3× 32 397
Hyejin Park 21 0.2× 45 0.6× 98 1.3× 12 0.2× 35 0.6× 20 321
Yunhui Yu 95 1.0× 39 0.5× 99 1.4× 21 0.3× 21 0.3× 22 332
H Hashimoto 62 0.6× 83 1.1× 180 2.5× 28 0.4× 19 0.3× 49 401
Chenchen Wang 24 0.2× 46 0.6× 114 1.6× 22 0.3× 8 0.1× 35 324
Ki‐Up Kim 66 0.7× 57 0.8× 75 1.0× 59 0.8× 14 0.2× 27 379
Duk Soo Kim 74 0.8× 17 0.2× 79 1.1× 72 1.0× 6 0.1× 38 347
Aiping Lin 56 0.6× 14 0.2× 111 1.5× 68 0.9× 27 0.4× 17 300
Yuan Yang 35 0.4× 14 0.2× 59 0.8× 20 0.3× 20 0.3× 30 341
Theodore Wang 11 0.1× 28 0.4× 35 0.5× 43 0.6× 104 1.7× 24 398

Countries citing papers authored by Hyung-Chan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyung-Chan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyung-Chan Kim. 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 Hyung-Chan Kim. The network helps show where Hyung-Chan Kim may publish in the future.

Co-authorship network of co-authors of Hyung-Chan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyung-Chan Kim. A scholar is included among the top collaborators of Hyung-Chan Kim 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 Hyung-Chan Kim. Hyung-Chan Kim 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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