Young-Gu Kim

535 citations
33 papers · 421 · h-index 10

Impact in

Papers in

Young-Gu Kim

24 papers receiving 406 citations

Peers

Young-Gu Kim
Comparison fields: 5 of 66
  • Industrial and Manufacturing Engineering 44
  • Electrical and Electronic Engineering 220
  • Inorganic Chemistry 49
  • Catalysis 23
  • Polymers and Plastics 45
Replace Zhengren Wang with:
Zhengren Wang China
Qiong Song China
Saientan Bag Germany
Jieun Son South Korea
Guanqing Zhang China
Kameel Abdel‐Latif United States
Jiaqi Chen China
Wulf Grählert Germany
Seong-Hun Park South Korea
Young-Gu Kim relative to Zhengren Wang China Zhengren Wang's profile →
Citations per field
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Zhengren Wang · 1×
Citations per year

Countries citing papers authored by Young-Gu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young-Gu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 201856
3 201653
4 201042
5 201239
6 201930
7 201228
8 200626
9 199721
10 202312
11 20057
12 20075
13 20235
14 20114
15 20134
16 20053
17 20063
18
Prediction of Gas Chromatographic Retention Times of PAH Using QSRR
20012
19
전이금속 도핑에 따른 TiO2 광촉매의 특성분석 및 광분해 효과
20032
20 20112

About Young-Gu Kim

Young-Gu Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Computer Networks and Communications and Mechanical Engineering, having authored 33 papers that have together received 421 indexed citations. Recurring topics across this work include Semiconductor materials and devices (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Advanced Data Storage Technologies (3 papers), Thin-Film Transistor Technologies (3 papers), Analytical Chemistry and Chromatography (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Manufacturing Process and Optimization (2 papers) and Advanced Fiber Laser Technologies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (44 citations), Electrical and Electronic Engineering (220 citations), Inorganic Chemistry (49 citations), Catalysis (23 citations) and Polymers and Plastics (45 citations). Young-Gu Kim has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Minkee Choi, In-Ho Yoon, Sunwoo Yook, Hee‐Man Yang, Han Chang Kwon, Woosung Choi, Hanna M. Haverinen, Dae Sin Kim, Ghassan E. Jabbour and Jian Li. Their work appears in journals such as IEEE Electron Device Letters, Chemistry of Materials, Japanese Journal of Applied Physics, Journal of materials research/Pratt's guide to venture capital sources and The Journal of Physical Chemistry C.

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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