Jong Pil Yun

88 total papers · 2.0k total citations
69 papers, 1.5k citations indexed

About

Jong Pil Yun is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jong Pil Yun has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Industrial and Manufacturing Engineering, 26 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mechanics. Recurrent topics in Jong Pil Yun's work include Industrial Vision Systems and Defect Detection (31 papers), Image and Object Detection Techniques (14 papers) and Surface Roughness and Optical Measurements (13 papers). Jong Pil Yun is often cited by papers focused on Industrial Vision Systems and Defect Detection (31 papers), Image and Object Detection Techniques (14 papers) and Surface Roughness and Optical Measurements (13 papers). Jong Pil Yun collaborates with scholars based in South Korea and United States. Jong Pil Yun's co-authors include Sang Woo Kim, Min Su Kim, Yong-Ju Jeon, Doo-chul Choi, Sang Jun Lee, PooGyeon Park, WooSang Shin, Gyogwon Koo, Seung Hyun Jeong and Chungki Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Jong Pil Yun

67 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Jong Pil Yun 700 468 281 280 248 69 1.5k
Juntong Xi 610 0.9× 633 1.4× 660 2.3× 211 0.8× 18 0.1× 125 2.1k
Ning Dai 146 0.2× 221 0.5× 627 2.2× 223 0.8× 453 1.8× 112 1.7k
Lapo Governi 277 0.4× 304 0.6× 188 0.7× 161 0.6× 31 0.1× 112 1.3k
Rocco Furferi 329 0.5× 336 0.7× 216 0.8× 166 0.6× 24 0.1× 136 1.5k
Wei Feng 141 0.2× 361 0.8× 351 1.2× 67 0.2× 75 0.3× 163 2.1k
Yary Volpe 239 0.3× 299 0.6× 180 0.6× 150 0.5× 35 0.1× 130 1.4k
Bingwei He 85 0.1× 672 1.4× 220 0.8× 113 0.4× 48 0.2× 148 1.5k
Armando Viviano Razionale 95 0.1× 500 1.1× 193 0.7× 72 0.3× 287 1.2× 73 1.5k
Hong‐Tzong Yau 632 0.9× 357 0.8× 1.2k 4.2× 1.0k 3.7× 196 0.8× 79 2.1k
Pasquale Franciosa 611 0.9× 91 0.2× 797 2.8× 263 0.9× 120 0.5× 129 1.6k

Countries citing papers authored by Jong Pil Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jong Pil Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Pil Yun. 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 Jong Pil Yun. The network helps show where Jong Pil Yun may publish in the future.

Co-authorship network of co-authors of Jong Pil Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Pil Yun. A scholar is included among the top collaborators of Jong Pil Yun 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 Jong Pil Yun. Jong Pil Yun 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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