Minyoung Kim

3.0k citations
230 papers · 2.1k · h-index 21

Impact in

Papers in

Minyoung Kim

201 papers receiving 2.0k citations

Peers

Minyoung Kim
Comparison fields: 5 of 177
  • Surfaces, Coatings and Films 166
  • Hardware and Architecture 113
  • Computer Networks and Communications 347
  • Automotive Engineering 158
  • Statistical and Nonlinear Physics 140
Replace Nikil Kapur with:
Nikil Kapur United Kingdom
Hiroshi G. Okuno Japan
Hee Seok Kim South Korea
Zheng Zheng China
Can Wang China
Junyan Hu Hong Kong
M. Wang United States
Quan Zhou China
Minyoung Kim relative to Nikil Kapur United Kingdom Nikil Kapur's profile →
Citations per field
00.5×4.7×
Nikil Kapur · 1×
Citations per year

Countries citing papers authored by Minyoung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minyoung Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minyoung Kim Line = papers co-authored together Minyoung Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2 2005124
3 201689
4 200885
5 201548
6 200736
7 200235
8 201635
9 200533
10 201030
11
Gaussian Processes Multiple Instance Learning
201027
12 200627
13 201622
14 201222
15 202022
16 201421
17 200921
18 200821
19 200121
20 202121

About Minyoung Kim

Minyoung Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Mechanical Engineering and Cognitive Neuroscience, having authored 230 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (27 papers), Advancements in Battery Materials (26 papers), Advanced Battery Technologies Research (13 papers), Chemical Reaction Mechanisms (12 papers), EEG and Brain-Computer Interfaces (11 papers), Chemical Reactions and Mechanisms (8 papers), Biodiesel Production and Applications (7 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Surfaces, Coatings and Films (166 citations), Hardware and Architecture (113 citations), Computer Networks and Communications (347 citations), Automotive Engineering (158 citations) and Statistical and Nonlinear Physics (140 citations). Minyoung Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Do Hyun Kim, Rajarshi Roy, Nalini Venkatasubramanian, Thomas W. Carr, Ira B. Schwartz, Jinsub Lim, Joan L. Aron, Soonhoi Ha, Nikil Dutt and Kwang-Seok Seo. Their work appears in journals such as Chemical Engineering Journal, Journal of The Electrochemical Society, Journal of Power Sources, Dyes and Pigments and Ionics.

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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