Jong Hoon Shin

32 total papers · 1.1k total citations
16 papers, 861 citations indexed

About

Jong Hoon Shin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Jong Hoon Shin has authored 16 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Jong Hoon Shin's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and GaN-based semiconductor devices and materials (3 papers). Jong Hoon Shin is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and GaN-based semiconductor devices and materials (3 papers). Jong Hoon Shin collaborates with scholars based in South Korea, United States and Argentina. Jong Hoon Shin's co-authors include Wei Lü, J. W. Moon, Chao Du, Wen Ma, Fuxi Cai, Seung Hwan Lee, Jihang Lee, Patrick Sheridan, Shinhyun Choi and YeonJoo Jeong and has published in prestigious journals such as Nano Letters, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Jong Hoon Shin

16 papers receiving 852 citations

Hit Papers

Temporal data classificat... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jong Hoon Shin 769 405 260 213 66 16 861
Adrien F. Vincent 868 1.1× 201 0.5× 210 0.8× 359 1.7× 62 0.9× 26 927
Christopher H. Bennett 901 1.2× 303 0.7× 78 0.3× 190 0.9× 110 1.7× 57 996
Indranil Chakraborty 656 0.9× 195 0.5× 87 0.3× 104 0.5× 62 0.9× 36 796
Roberto Carboni 947 1.2× 145 0.4× 242 0.9× 434 2.0× 91 1.4× 16 999
Abhinav Parihar 551 0.7× 271 0.7× 145 0.6× 175 0.8× 175 2.7× 21 907
Maryam Parsa 740 1.0× 357 0.9× 198 0.8× 180 0.8× 43 0.7× 42 941
Irina Kataeva 642 0.8× 150 0.4× 95 0.4× 238 1.1× 46 0.7× 25 739
Andreas Wild 862 1.1× 244 0.6× 218 0.8× 133 0.6× 167 2.5× 30 1.0k
Jean Tomas 841 1.1× 133 0.3× 275 1.1× 370 1.7× 83 1.3× 37 942
Weier Wan 856 1.1× 202 0.5× 109 0.4× 226 1.1× 66 1.0× 16 924

Countries citing papers authored by Jong Hoon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jong Hoon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Hoon Shin. 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 Jong Hoon Shin. The network helps show where Jong Hoon Shin may publish in the future.

Co-authorship network of co-authors of Jong Hoon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Hoon Shin. A scholar is included among the top collaborators of Jong Hoon Shin 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 Jong Hoon Shin. Jong Hoon Shin 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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