Minki Kim

91 papers receiving 1.5k citations

Minki Kim's Hit Papers

Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy 2013 · 217 citations
2170+4+8Years since publication50100150200

Peers

Minki Kim
Comparison fields: 5 of 126
  • Fluid Flow and Transfer Processes 157
  • General Energy 11
  • Computational Mechanics 184
  • Electrical and Electronic Engineering 446
  • Artificial Intelligence 266
Replace Abdollah A. Afjeh with:
Abdollah A. Afjeh United States
Tiong Sieh Kiong Malaysia
Ming Ding China
Wenping Zhang China
Jinchang Wang China
Nan Gao China
Matthias Budde Germany
Md. Robiul Islam Bangladesh
Haibo Zhang China
Soheil Jafari United Kingdom
Minki Kim relative to Abdollah A. Afjeh United States Abdollah A. Afjeh's profile →
Citations per field
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Abdollah A. Afjeh · 1×
Citations per year

Countries citing papers authored by Minki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minki 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 Minki Kim Line = papers co-authored together Minki Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy
Hit paper breakdown →
2013217
2 2020180
3 2020152
4 2013136
5 2012113
6 202167
7 202164
8 201646
9 202335
10 201732
11 202131
12 202425
13 202423
14 202121
15 201720
16 202419
17 201113
18 202213
19 200813
20 202213

About Minki Kim

Minki Kim is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Mechanical Engineering, Fluid Flow and Transfer Processes and Mechanics of Materials, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (16 papers), Metallurgy and Material Forming (9 papers), Advanced Graph Theory Research (9 papers), Advanced Combustion Engine Technologies (9 papers), Wireless Power Transfer Systems (8 papers), Catalytic Processes in Materials Science (8 papers), Energy Harvesting in Wireless Networks (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (157 citations), General Energy (11 citations), Computational Mechanics (184 citations), Electrical and Electronic Engineering (446 citations) and Artificial Intelligence (266 citations). Minki Kim has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Young-Hwan Kim, Wonjoon Kim, Junghyeon Hwang, Youngin Goh, Yongsun Lee, Sanghun Jeon, ‪Surya Nepal‬, Chandra Thapa, Hyoungshick Kim and Alsharif Abuadbba. Their work appears in journals such as Fuel, Discrete Mathematics, Discrete Applied Mathematics, Metals and Materials International and Materials.

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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