Kye-Hyun Kim

510 citations
29 papers · 365 indexed · h-index 9
Topics
Hydrology and Watershed Management Studies (5 papers)Geographic Information Systems Studies (5 papers)Water Quality and Pollution Assessment (4 papers)

In The Last Decade

Kye-Hyun Kim

26 papers receiving 329 citations

Peers

Kye-Hyun Kim
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 84
  • Water Science and Technology 69
  • Environmental Engineering 62
  • Signal Processing 56
  • Artificial Intelligence 54
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Citations per field
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Citations per year

Countries citing papers authored by Kye-Hyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kye-Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kye-Hyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kye-Hyun Kim. A scholar is included among the top collaborators of Kye-Hyun Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kye-Hyun Kim. Kye-Hyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 31
2 22
3 56
4 1
5 10
6
An ontology-based approach for managing spatio-temporal linearly referenced road event data
2
7 2
8
Development of GIS based Marine Mineral Resource Information System for Managing Marine Exploration Data
1
9 2
10 2
11
Study on GIS based Automatic Delineation Method of Accurate Stream Centerline for Water Quality Modeling
1
12
GIS-based Web-Service Architecture
1
13 41
14 1
15
Application of Spatial Autocorrelation for the Spatial Distribution Pattern Analysis of Marine Environment - Case of Gwangyang Bay -
1
16
Development of GIS-based EEZ Marine Resources Information System
2
17
Development of Line Density Index for the Quantification of Oceanic Thermal Fronts
0
18 1
19
On a Method Toward Optimal Multilayer Channel Router
3
20 11

About Kye-Hyun Kim

Kye-Hyun Kim is a scholar working on Geography, Planning and Development, Computer Graphics and Computer-Aided Design and Water Science and Technology, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (5 papers), Geographic Information Systems Studies (5 papers) and Water Quality and Pollution Assessment (4 papers). The work is most often cited by research in Signal Processing (56 citations), Transportation (35 citations) and Water Science and Technology (69 citations). Kye-Hyun Kim has collaborated with scholars based in South Korea, United States and Iran. Frequent co-authors include Abolghasem Sadeghi‐Niaraki, Junyong Noh, Jungjin Lee, Stephen J. Ventura, Sang‐Woo Lee, Hyuk Lee, Richard H. Hawkins, Paul M. Harris, Kyunghan Lee and Eun‐Ji Park. Their work appears in journals such as Expert Systems with Applications, Journal of Environmental Management and ACM Transactions on Graphics.

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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