Hanul Kim

21 total papers · 517 total citations
11 papers, 238 citations indexed

About

Hanul Kim is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Hanul Kim has authored 11 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 1 paper in Computational Mechanics. Recurrent topics in Hanul Kim's work include Human Pose and Action Recognition (5 papers), Image Enhancement Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Hanul Kim is often cited by papers focused on Human Pose and Action Recognition (5 papers), Image Enhancement Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Hanul Kim collaborates with scholars based in Japan, South Korea and Australia. Hanul Kim's co-authors include Seiji Ishikawa, Md Atiqur Rahman Ahad, Joo Kooi Tan, Chang‐Su Kim, Chul Lee, Philip Ogunbona, Jun Wu, Jaemin Park, Jae Sung Lim and Huimin Lu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Consumer Electronics and Journal of Visual Communication and Image Representation.

In The Last Decade

Hanul Kim

9 papers receiving 229 citations

Author Peers

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

Author						Papers	Cites
Hanul Kim	198	79	63	44	15	11	238
Benjia Zhou	166 0.8×	84 1.1×	107 1.7×	36 0.8×	11 0.7×	12	243
Aouaidjia Kamel	245 1.2×	73 0.9×	77 1.2×	84 1.9×	7 0.5×	9	328
Manuel Martín	218 1.1×	40 0.5×	51 0.8×	74 1.7×	9 0.6×	21	322
Harshala Gammulle	249 1.3×	64 0.8×	48 0.8×	149 3.4×	25 1.7×	14	307
Byeongkeun Kang	180 0.9×	42 0.5×	98 1.6×	24 0.5×	13 0.9×	19	257
Chi Lin	258 1.3×	39 0.5×	57 0.9×	67 1.5×	29 1.9×	12	323
Subarna Tripathi	226 1.1×	35 0.4×	95 1.5×	72 1.6×	11 0.7×	20	304
Hanbo Wu	200 1.0×	104 1.3×	78 1.2×	96 2.2×	10 0.7×	17	302
Manfred Georg	93 0.5×	32 0.4×	42 0.7×	40 0.9×	16 1.1×	12	209
Nikolaos Sarafianos	224 1.1×	46 0.6×	61 1.0×	27 0.6×	9 0.6×	18	296

Countries citing papers authored by Hanul Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hanul Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanul Kim

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