Youngmin Cho

113 papers receiving 1.8k citations

Peers

Youngmin Cho
Comparison fields: 5 of 166
  • Renewable Energy, Sustainability and the Environment 496
  • Process Chemistry and Technology 58
  • Health, Toxicology and Mutagenesis 201
  • Industrial and Manufacturing Engineering 89
  • Pollution 120
Replace Nasrullah Khan with:
Nasrullah Khan Pakistan
Huili Zhang China
Yue Zhang China
Liyan Liu China
Yingxin Liu China
James A. Bennett United Kingdom
Oliver R. Inderwildi United Kingdom
S.M. Ashrafur Rahman Australia
Hui Peng China
Youngmin Cho relative to Nasrullah Khan Pakistan Nasrullah Khan's profile →
Citations per field
00.5×2.6×
Nasrullah Khan · 1×
Citations per year

Countries citing papers authored by Youngmin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Youngmin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001281
2
Kernel Methods for Deep Learning
2009208
3 2000183
4 2012161
5 2002102
6 200857
7 200849
8 200948
9 200446
10 201938
11 201337
12 201436
13 201036
14 201031
15 201529
16 201328
17 202225
18 201624
19 201723
20 201220

About Youngmin Cho

Youngmin Cho is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Sociology and Political Science, Media Technology and Polymers and Plastics, having authored 122 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (10 papers), Vehicle emissions and performance (7 papers), biodegradable polymer synthesis and properties (6 papers), Semiconductor Lasers and Optical Devices (6 papers), Air Quality and Health Impacts (6 papers), Education, Safety, and Science Studies (6 papers), Engineering Applied Research (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (496 citations), Process Chemistry and Technology (58 citations), Health, Toxicology and Mutagenesis (201 citations), Industrial and Manufacturing Engineering (89 citations) and Pollution (120 citations). Youngmin Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Wonyong Choi, Lawrence K. Saul, Soon-Bark Kwon, Duckshin Park, Ho‐In Lee, Taeghwan Hyeon, Chung‐Hak Lee, Soo Jin Hong, Yoon‐Seok Chang and Myungwan Han. Their work appears in journals such as International Journal of Biological Macromolecules, Optical Engineering, Journal of the Society for Information Display, Environmental Science & Technology and Industrial & Engineering Chemistry Research.

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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