Tae‐Hyeon Kim

121 total papers · 1.7k total citations
90 papers, 1.3k citations indexed

About

Tae‐Hyeon Kim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Tae‐Hyeon Kim has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Electrical and Electronic Engineering, 22 papers in Cellular and Molecular Neuroscience and 9 papers in Materials Chemistry. Recurrent topics in Tae‐Hyeon Kim's work include Advanced Memory and Neural Computing (59 papers), Ferroelectric and Negative Capacitance Devices (47 papers) and Neuroscience and Neural Engineering (22 papers). Tae‐Hyeon Kim is often cited by papers focused on Advanced Memory and Neural Computing (59 papers), Ferroelectric and Negative Capacitance Devices (47 papers) and Neuroscience and Neural Engineering (22 papers). Tae‐Hyeon Kim collaborates with scholars based in South Korea, United States and Saudi Arabia. Tae‐Hyeon Kim's co-authors include Byung‐Gook Park, Hyungjin Kim, Sungjoon Kim, Sungjun Kim, Min‐Hwi Kim, Jinwoo Park, Seongjae Cho, Dong Keun Lee, Jeong‐Sook Park and Shimeng Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Tae‐Hyeon Kim

81 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Tae‐Hyeon Kim	990	384	137	126	120	90	1.3k
Xinghua Li	832 0.8×	441 1.1×	137 1.0×	171 1.4×	120 1.0×	115	1.7k
Wei Wen	603 0.6×	126 0.3×	406 3.0×	218 1.7×	41 0.3×	63	1.3k
Luke Theogarajan	961 1.0×	460 1.2×	228 1.7×	93 0.7×	161 1.3×	90	1.5k
Satoshi Matsuda	320 0.3×	83 0.2×	208 1.5×	191 1.5×	220 1.8×	103	1.6k
Yingjie Tang	728 0.7×	163 0.4×	100 0.7×	363 2.9×	54 0.5×	62	1.1k
Bashir I. Morshed	214 0.2×	166 0.4×	72 0.5×	33 0.3×	515 4.3×	115	1.3k
Yajuan Sun	222 0.2×	32 0.1×	120 0.9×	212 1.7×	71 0.6×	61	1.7k
Tony F. Wu	1.2k 1.2×	154 0.4×	184 1.3×	261 2.1×	65 0.5×	38	1.4k
J. Jossinet	1.2k 1.2×	274 0.7×	94 0.7×	19 0.2×	152 1.3×	64	1.9k
Mohammad Reza Mahmoodi	1.3k 1.3×	481 1.3×	260 1.9×	163 1.3×	170 1.4×	40	1.5k

Countries citing papers authored by Tae‐Hyeon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Tae‐Hyeon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Hyeon 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 Tae‐Hyeon Kim. The network helps show where Tae‐Hyeon Kim may publish in the future.

Co-authorship network of co-authors of Tae‐Hyeon Kim

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