Jinsu Yoon

48 total papers · 1.4k total citations
42 papers, 1.2k citations indexed

About

Jinsu Yoon is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jinsu Yoon has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 23 papers in Biomedical Engineering and 19 papers in Materials Chemistry. Recurrent topics in Jinsu Yoon's work include Carbon Nanotubes in Composites (17 papers), Nanowire Synthesis and Applications (16 papers) and Advanced Memory and Neural Computing (10 papers). Jinsu Yoon is often cited by papers focused on Carbon Nanotubes in Composites (17 papers), Nanowire Synthesis and Applications (16 papers) and Advanced Memory and Neural Computing (10 papers). Jinsu Yoon collaborates with scholars based in South Korea and United States. Jinsu Yoon's co-authors include Sung‐Jin Choi, Bongsik Choi, Sungho Kim, Hee‐Dong Kim, Meehyun Lim, Dong Myong Kim, Dae Hwan Kim, Ju-Hee Lee, Jieun Lee and Inkyu Park and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Scientific Reports.

In The Last Decade

Jinsu Yoon

40 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Jinsu Yoon	849	473	279	278	238	42	1.2k
Bongsik Choi	719 0.8×	447 0.9×	223 0.8×	220 0.8×	201 0.8×	35	1.0k
H. Stiegler	710 0.8×	284 0.6×	239 0.9×	119 0.4×	108 0.5×	44	924
Chunmeng Dou	1.1k 1.3×	156 0.3×	212 0.8×	300 1.1×	297 1.2×	73	1.4k
Qing Wan	784 0.9×	346 0.7×	509 1.8×	110 0.4×	171 0.7×	46	1.2k
Tsung‐Ching Huang	900 1.1×	725 1.5×	179 0.6×	118 0.4×	340 1.4×	49	1.3k
Woon Hyung Cheong	668 0.8×	827 1.7×	151 0.5×	173 0.6×	238 1.0×	19	1.2k
Natasha A. D. Yamamoto	604 0.7×	742 1.6×	101 0.4×	99 0.4×	331 1.4×	25	1.3k
Jagan Singh Meena	796 0.9×	411 0.9×	483 1.7×	94 0.3×	312 1.3×	35	1.3k
Bing Yin	618 0.7×	609 1.3×	206 0.7×	144 0.5×	173 0.7×	42	1.4k
Chunwei Zhang	869 1.0×	448 0.9×	206 0.7×	226 0.8×	282 1.2×	35	1.1k

Countries citing papers authored by Jinsu Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Jinsu Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinsu Yoon. 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 Jinsu Yoon. The network helps show where Jinsu Yoon may publish in the future.

Co-authorship network of co-authors of Jinsu Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsu Yoon. A scholar is included among the top collaborators of Jinsu Yoon 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 Jinsu Yoon. Jinsu Yoon 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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