Kye-Hyun Kim

55 total papers · 509 total citations
29 papers, 361 citations indexed

About

Kye-Hyun Kim is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kye-Hyun Kim has authored 29 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Kye-Hyun Kim's work include Geographic Information Systems Studies (5 papers), Hydrology and Watershed Management Studies (5 papers) and Water Quality and Pollution Assessment (4 papers). Kye-Hyun Kim is often cited by papers focused on Geographic Information Systems Studies (5 papers), Hydrology and Watershed Management Studies (5 papers) and Water Quality and Pollution Assessment (4 papers). Kye-Hyun Kim collaborates with scholars based in South Korea, United States and Iran. Kye-Hyun Kim's 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 Sunyong Kim and has published in prestigious journals such as Expert Systems with Applications, Journal of Environmental Management and ACM Transactions on Graphics.

In The Last Decade

Kye-Hyun Kim

26 papers receiving 325 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kye-Hyun Kim	84	69	61	54	53	29	361
Shuang Han	57 0.7×	38 0.6×	33 0.5×	30 0.6×	82 1.5×	32	332
Flavio Bertini	125 1.5×	16 0.2×	36 0.6×	33 0.6×	93 1.8×	35	396
Ruidan Su	49 0.6×	33 0.5×	46 0.8×	14 0.3×	29 0.5×	26	311
Chao Jing	77 0.9×	32 0.5×	38 0.6×	55 1.0×	116 2.2×	25	396
Sung‐Jung Hsiao	32 0.4×	56 0.8×	53 0.9×	12 0.2×	38 0.7×	51	402
Haowen Xu	18 0.2×	76 1.1×	39 0.6×	21 0.4×	42 0.8×	32	311
Francisco Ramos	72 0.9×	14 0.2×	165 2.7×	11 0.2×	18 0.3×	29	362
Muhammad Irsyad Abdullah	51 0.6×	29 0.4×	30 0.5×	14 0.3×	35 0.7×	43	294
Nasru Minallah	84 1.0×	10 0.1×	40 0.7×	36 0.7×	58 1.1×	52	342
Billy Pik Lik Lau	96 1.1×	10 0.1×	18 0.3×	35 0.6×	69 1.3×	31	404

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

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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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