Jin Sik Choi

121 total papers · 4.1k total citations
91 papers, 3.5k citations indexed

About

Jin Sik Choi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jin Sik Choi has authored 91 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Materials Chemistry, 48 papers in Electrical and Electronic Engineering and 22 papers in Biomedical Engineering. Recurrent topics in Jin Sik Choi's work include Graphene research and applications (30 papers), Advanced Memory and Neural Computing (23 papers) and Transition Metal Oxide Nanomaterials (11 papers). Jin Sik Choi is often cited by papers focused on Graphene research and applications (30 papers), Advanced Memory and Neural Computing (23 papers) and Transition Metal Oxide Nanomaterials (11 papers). Jin Sik Choi collaborates with scholars based in South Korea, United States and Sweden. Jin Sik Choi's co-authors include Bae Ho Park, Ik-Su Byun, Hyeonsik Cheong, Duhee Yoon, Myoung‐Jae Lee, I. R. Hwang, Jinsoo Kim, Sunae Seo, In Kyeong Yoo and Jeong Young Park and has published in prestigious journals such as Science, Nano Letters and ACS Nano.

In The Last Decade

Jin Sik Choi

85 papers receiving 3.4k citations

Hit Papers

Reproducible resistance s... 2004 2026 2011 2018 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jin Sik Choi 2.2k 2.1k 746 708 503 91 3.5k
Alexis Franquet 1.5k 0.7× 2.2k 1.1× 349 0.5× 356 0.5× 450 0.9× 154 3.1k
Bin Cheng 2.9k 1.3× 2.6k 1.3× 526 0.7× 553 0.8× 545 1.1× 113 4.3k
Rong Yang 3.1k 1.4× 2.0k 1.0× 450 0.6× 1.4k 2.0× 486 1.0× 75 4.4k
M. S. Ferreira 1.5k 0.7× 1.1k 0.5× 609 0.8× 1.1k 1.6× 666 1.3× 106 2.9k
Yidong Xia 2.3k 1.1× 2.3k 1.1× 455 0.6× 370 0.5× 265 0.5× 167 3.5k
Wei Yi 2.6k 1.2× 2.0k 1.0× 307 0.4× 826 1.2× 758 1.5× 134 4.5k
Jang‐Yeon Kwon 3.1k 1.4× 3.8k 1.8× 837 1.1× 994 1.4× 278 0.6× 137 4.9k
Hongtao Cao 1.5k 0.7× 2.6k 1.2× 1.0k 1.4× 525 0.7× 170 0.3× 158 3.6k
Blanka Magyari-Köpe 1.4k 0.6× 2.1k 1.0× 348 0.5× 281 0.4× 380 0.8× 73 2.9k
Do Kyung Hwang 3.3k 1.5× 4.1k 2.0× 1.1k 1.4× 1.4k 1.9× 278 0.6× 175 6.0k

Countries citing papers authored by Jin Sik Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sik Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Sik Choi. 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 Jin Sik Choi. The network helps show where Jin Sik Choi may publish in the future.

Co-authorship network of co-authors of Jin Sik Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Sik Choi. A scholar is included among the top collaborators of Jin Sik Choi 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 Jin Sik Choi. Jin Sik Choi 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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