Hye‐In Yeom

26 total papers · 685 total citations
18 papers, 588 citations indexed

About

Hye‐In Yeom is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Hye‐In Yeom has authored 18 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Hye‐In Yeom's work include Thin-Film Transistor Technologies (10 papers), Semiconductor materials and devices (8 papers) and ZnO doping and properties (6 papers). Hye‐In Yeom is often cited by papers focused on Thin-Film Transistor Technologies (10 papers), Semiconductor materials and devices (8 papers) and ZnO doping and properties (6 papers). Hye‐In Yeom collaborates with scholars based in South Korea and China. Hye‐In Yeom's co-authors include Sang‐Hee Ko Park, Taiyu Jin, Keon Jae Lee, Han Eol Lee, Seung Hyun Lee, Chun‐Won Byun, Seungjun Kim, Daniel J. Joe, Shuye Zhang and Yan Pan and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Hye‐In Yeom

18 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Hye‐In Yeom 459 283 250 150 59 18 588
Junsung Bang 347 0.8× 237 0.8× 320 1.3× 161 1.1× 69 1.2× 26 556
Stepan Demchyshyn 411 0.9× 261 0.9× 201 0.8× 158 1.1× 39 0.7× 13 588
Tae Hoon Lee 267 0.6× 293 1.0× 221 0.9× 71 0.5× 33 0.6× 18 619
Dongseob Ji 431 0.9× 212 0.7× 204 0.8× 195 1.3× 33 0.6× 14 550
Min-Woo Choi 382 0.8× 260 0.9× 350 1.4× 156 1.0× 52 0.9× 20 615
Andreas Petritz 377 0.8× 143 0.5× 346 1.4× 208 1.4× 44 0.7× 25 620
Ki‐Won Seo 406 0.9× 190 0.7× 249 1.0× 135 0.9× 33 0.6× 24 521
Guan‐Hua Dun 362 0.8× 314 1.1× 228 0.9× 77 0.5× 55 0.9× 33 583
Peixiong Gao 461 1.0× 320 1.1× 180 0.7× 118 0.8× 23 0.4× 19 529
Masaya Kondo 416 0.9× 136 0.5× 303 1.2× 158 1.1× 74 1.3× 18 662

Countries citing papers authored by Hye‐In Yeom

Since Specialization
Citations

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

Fields of papers citing papers by Hye‐In Yeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye‐In Yeom. 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 Hye‐In Yeom. The network helps show where Hye‐In Yeom may publish in the future.

Co-authorship network of co-authors of Hye‐In Yeom

This figure shows the co-authorship network connecting the top 25 collaborators of Hye‐In Yeom. A scholar is included among the top collaborators of Hye‐In Yeom 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 Hye‐In Yeom. Hye‐In Yeom 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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