Jun-Cheol Park

33 papers receiving 332 citations

Peers

Jun-Cheol Park
Comparison fields: 5 of 83
  • Animal Science and Zoology 47
  • Renewable Energy, Sustainability and the Environment 46
  • Experimental and Cognitive Psychology 34
  • Computer Vision and Pattern Recognition 42
  • Control and Systems Engineering 43
Replace Matteo Bustreo with:
Matteo Bustreo Italy
Wenping Zhao China
Annu Mishra India
Juan Carlos Campo Spain
Lejun Yu China
Zhiyu Chen China
Haochun Chen China
Cristhian Manuel Durán Acevedo Colombia
Ziqiang Chen China
Marta Valledor Spain
Jun-Cheol Park relative to Matteo Bustreo Italy Matteo Bustreo's profile →
Citations per field
00.5×2×4×6×7.7×
Matteo Bustreo · 1×
Citations per year

Countries citing papers authored by Jun-Cheol Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Cheol Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Cheol Park. 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 Jun-Cheol Park. The network helps show where Jun-Cheol Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 201644
3 201124
4 201722
5 201922
6 202119
7 202418
8 202316
9 202115
10 202214
11 201514
12 201114
13 20219
14 20239
15 20147
16 20177
17 20127
18 20157
19 20255
20 20184

About Jun-Cheol Park

Jun-Cheol Park is a scholar working on Animal Science and Zoology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 38 papers that have together received 348 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (5 papers), Advanced Photocatalysis Techniques (4 papers), Electrocatalysts for Energy Conversion (3 papers), Copper-based nanomaterials and applications (3 papers), Multilevel Inverters and Converters (2 papers), Privacy, Security, and Data Protection (2 papers), Animal health and immunology (2 papers) and 2D Materials and Applications (2 papers). The work is most often cited by research in Animal Science and Zoology (47 citations), Renewable Energy, Sustainability and the Environment (46 citations), Experimental and Cognitive Psychology (34 citations), Computer Vision and Pattern Recognition (42 citations) and Control and Systems Engineering (43 citations). Jun-Cheol Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sangshin Kwak, Sung Jin Yoo, Dae-Shik Kim, Sanghan Lee, Seung‐Kyu Kim, Kyung‐Hoon Bae, Sungkwon Park, Neeraja Recharla, Sehun Seo and Hojoong Choi. Their work appears in journals such as Applied Surface Science, Journal of Animal Science and Technology, PLoS ONE, Meat Science and International Journal of Hydrogen Energy.

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.

Explore authors with similar magnitude of impact