Do-Yeon Kim

102 total papers · 407 total citations
44 papers, 284 citations indexed

About

Do-Yeon Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Do-Yeon Kim has authored 44 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Do-Yeon Kim's work include Medical Image Segmentation Techniques (8 papers), Medical Imaging and Analysis (3 papers) and Maritime Navigation and Safety (3 papers). Do-Yeon Kim is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Medical Imaging and Analysis (3 papers) and Maritime Navigation and Safety (3 papers). Do-Yeon Kim collaborates with scholars based in South Korea, United States and China. Do-Yeon Kim's co-authors include Wonwoo Nam, Jong‐Won Park, Jaeheung Cho, Yong‐Min Lee, Ritimukta Sarangi, Dong‐Hwa Chung, Jongwon Park, Jeong‐Hoon Sa, Seungwoo Hong and Mahdi M. Abu‐Omar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Cleaner Production and Chemistry - A European Journal.

In The Last Decade

Do-Yeon Kim

36 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Do-Yeon Kim	51	39	38	35	31	44	284
Xin Sun	56 1.1×	72 1.8×	22 0.6×	33 0.9×	7 0.2×	43	273
Tingting Dong	9 0.2×	35 0.9×	46 1.2×	29 0.8×	8 0.3×	47	304
Xuebin Xu	38 0.7×	28 0.7×	98 2.6×	49 1.4×	6 0.2×	34	324
Farhan A. Alenizi	7 0.1×	20 0.5×	54 1.4×	29 0.8×	32 1.0×	33	291
Zhenhua Lv	6 0.1×	61 1.6×	21 0.6×	14 0.4×	20 0.6×	28	302
Jiacheng Wang	34 0.7×	28 0.7×	13 0.3×	17 0.5×	17 0.5×	39	329
R. Alejo	12 0.2×	53 1.4×	25 0.7×	162 4.6×	8 0.3×	30	318
Jianfeng Tang	34 0.7×	38 1.0×	13 0.3×	9 0.3×	2 0.1×	32	284
Hengyang Zhang	14 0.3×	53 1.4×	21 0.6×	18 0.5×	9 0.3×	61	310
Yanan Xu	6 0.1×	43 1.1×	19 0.5×	64 1.8×	3 0.1×	28	301

Countries citing papers authored by Do-Yeon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Do-Yeon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do-Yeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do-Yeon Kim. A scholar is included among the top collaborators of Do-Yeon 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 Do-Yeon Kim. Do-Yeon 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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