Young‐Do Kim

1.8k citations
172 papers · 1.4k · h-index 21

Impact in

Papers in

Young‐Do Kim

148 papers receiving 1.3k citations

Peers

Young‐Do Kim
Comparison fields: 5 of 143
  • Water Science and Technology 190
  • Neurology 133
  • Automotive Engineering 118
  • Environmental Engineering 129
  • Electrical and Electronic Engineering 345
Replace P.W. O’Callaghan with:
P.W. O’Callaghan United Kingdom
Kazuo Takeda Japan
Chenfu Huang United States
Shichun Zhang China
M. D. Bolton United Kingdom
Andrew J. Bowen United States
Hidenori Takahashi Japan
Shuhan Zhang China
Hiroshi Hattori Japan
Weibo Liu China
Young‐Do Kim relative to P.W. O’Callaghan United Kingdom P.W. O’Callaghan's profile →
Citations per field
00.5×4.8×
P.W. O’Callaghan · 1×
Citations per year

Countries citing papers authored by Young‐Do Kim

Since Specialization
Citations

This map shows the geographic impact of Young‐Do 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‐Do 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‐Do Kim more than expected).

Fields of papers citing papers by Young‐Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201555
3 200047
4 201744
5 201541
6 201337
7 199537
8 201636
9 201135
10 201134
11 201531
12 201631
13 201329
14 201028
15 200224
16 201324
17 201922
18 201622
19 201222
20 201420

About Young‐Do Kim

Young‐Do Kim is a scholar working on Water Science and Technology, Electrical and Electronic Engineering, Mechanical Engineering, Ecology and Environmental Engineering, having authored 172 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (26 papers), Hydrology and Sediment Transport Processes (17 papers), Flood Risk Assessment and Management (12 papers), Advanced DC-DC Converters (12 papers), Soil and Water Nutrient Dynamics (11 papers), Water Quality and Pollution Assessment (11 papers), Fish Ecology and Management Studies (10 papers) and Hydrological Forecasting Using AI (9 papers). The work is most often cited by research in Water Science and Technology (190 citations), Neurology (133 citations), Automotive Engineering (118 citations), Environmental Engineering (129 citations) and Electrical and Electronic Engineering (345 citations). Young‐Do Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include In‐Uk Song, Gun‐Woo Moon, Sung‐Woo Chung, Kyu-Min Cho, Il Won Seo, Boosik Kang, Hyun-Ji Cho, Duk-You Kim, Joong‐Seok Kim and Dongsu Kim. Their work appears in journals such as Applied Sciences, Water, Journal of Hydraulic Engineering, Environmental Earth Sciences and European Archives of Oto-Rhino-Laryngology.

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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