Young‐Nam Kwon

7.8k citations
126 papers · 6.7k indexed · 4 hit papers · h-index 40

Impact in

Papers in

Young‐Nam Kwon

119 papers receiving 6.6k citations

Hit Papers

Metasurface-driven OLED displays beyond 10,000 pixels per inch 2020 · 308 citations
3082006202620122019250500750

Peers

Young‐Nam Kwon
Comparison fields: 5 of 142
  • Water Science and Technology 4.8k
  • Biomedical Engineering 4.0k
  • Industrial and Manufacturing Engineering 530
  • Surfaces, Coatings and Films 375
  • Pollution 420
Replace Meijia Zhang with:
Meijia Zhang China
Tiezheng Tong United States
Kuo‐Lun Tung Taiwan
Xianshe Feng Canada
A. Hernández Spain
Mohtada Sadrzadeh Canada
Hongjun Lin China
Zhining Wang China
M.H.V. Mulder Netherlands
Young‐Nam Kwon relative to Meijia Zhang China Meijia Zhang's profile →
Citations per field
00.5×5.6×
Meijia Zhang · 1×
Citations per year

Countries citing papers authored by Young‐Nam Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Nam Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Nam Kwon. 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 Young‐Nam Kwon. The network helps show where Young‐Nam Kwon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 202411
4 20239
5 20232
6 20237
7 202216
8 2022108
9 202118
10 202126
11 20211
12 202020
13 20190
14 201812
15 20182
16 201760
17 201660
18 201541
19 20131
20 201325

About Young‐Nam Kwon

Young‐Nam Kwon is a scholar working on Water Science and Technology, Surfaces, Coatings and Films, Industrial and Manufacturing Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 126 papers that have together received 6.7k indexed citations. Recurring topics across this work include Membrane Separation Technologies (71 papers), Membrane-based Ion Separation Techniques (31 papers), Fuel Cells and Related Materials (23 papers), Advanced Sensor and Energy Harvesting Materials (17 papers), Recycling and Waste Management Techniques (12 papers), Surface Modification and Superhydrophobicity (11 papers), Membrane Separation and Gas Transport (11 papers) and Electrohydrodynamics and Fluid Dynamics (10 papers). The work is most often cited by research in Water Science and Technology (4.8k citations), Biomedical Engineering (4.0k citations), Industrial and Manufacturing Engineering (530 citations), Surfaces, Coatings and Films (375 citations) and Pollution (420 citations). Young‐Nam Kwon has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include James O. Leckie, Chuyang Y. Tang, C.Y. Tang, In‐Chul Kim, Saikat Sinha Ray, Byung-Moon Jun, Thi Phuong Nga Nguyen, Shashi Prabha Dubey, Changha Lee and Hyung Kae Lee. Their work appears in journals such as Journal of Membrane Science, Desalination, Journal of Applied Polymer Science, Journal of Industrial and Engineering Chemistry and Environmental Technology & Innovation.

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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