Ji-Hyeong Han

51 total papers · 421 total citations
32 papers, 267 citations indexed

About

Ji-Hyeong Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ji-Hyeong Han has authored 32 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ji-Hyeong Han's work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Robotic Path Planning Algorithms (3 papers). Ji-Hyeong Han is often cited by papers focused on Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Robotic Path Planning Algorithms (3 papers). Ji-Hyeong Han collaborates with scholars based in South Korea and United States. Ji-Hyeong Han's co-authors include Jong-Hwan Kim, Ye-Hoon Kim, Seung-Hwan Choi, Eun‐Soo Kim, Seungjae Lee, Young-Dae Hong, Nari Kim, Hyungmin Park, Maeng-Hyun Son and Dong‐Hyun Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Evolutionary Computation and Applied Sciences.

In The Last Decade

Ji-Hyeong Han

26 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Ji-Hyeong Han 72 72 53 44 36 32 267
Ramón Galán 69 1.0× 100 1.4× 25 0.5× 63 1.4× 25 0.7× 30 295
Gongjin Lan 105 1.5× 96 1.3× 21 0.4× 33 0.8× 37 1.0× 27 288
V. A. Ziparo 114 1.6× 81 1.1× 52 1.0× 65 1.5× 6 0.2× 25 330
Muhammad Aminul Islam 67 0.9× 114 1.6× 13 0.2× 27 0.6× 16 0.4× 27 314
Li Huang 100 1.4× 105 1.5× 10 0.2× 29 0.7× 21 0.6× 25 298
Jianjian Yang 43 0.6× 107 1.5× 57 1.1× 55 1.3× 10 0.3× 26 306
Daniele Calisi 179 2.5× 51 0.7× 16 0.3× 62 1.4× 18 0.5× 41 310
Rehab F. Abdel‐Kader 77 1.1× 101 1.4× 14 0.3× 22 0.5× 9 0.3× 32 296
Zheng Zhang 24 0.3× 44 0.6× 36 0.7× 26 0.6× 52 1.4× 35 330
Yuxi Hu 76 1.1× 46 0.6× 10 0.2× 16 0.4× 7 0.2× 27 228

Countries citing papers authored by Ji-Hyeong Han

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Hyeong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Hyeong Han. 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 Ji-Hyeong Han. The network helps show where Ji-Hyeong Han may publish in the future.

Co-authorship network of co-authors of Ji-Hyeong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Hyeong Han. A scholar is included among the top collaborators of Ji-Hyeong Han 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 Ji-Hyeong Han. Ji-Hyeong Han 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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