Youngjun Kim

83 total papers · 1.8k total citations
55 papers, 1.1k citations indexed

About

Youngjun Kim is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Youngjun Kim has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 20 papers in Biomedical Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Youngjun Kim's work include Augmented Reality Applications (8 papers), Surgical Simulation and Training (7 papers) and Shoulder Injury and Treatment (6 papers). Youngjun Kim is often cited by papers focused on Augmented Reality Applications (8 papers), Surgical Simulation and Training (7 papers) and Shoulder Injury and Treatment (6 papers). Youngjun Kim collaborates with scholars based in South Korea, United States and Japan. Youngjun Kim's co-authors include Hannah Kim, Yong Oock Kim, Seok Won Chung, Kyung-Soo Oh, Jong Pil Yoon, Joon Yub Kim, Na Ra Kim, Young-Min Noh, Hyo Jin Lee and Sung‐Hoon Moon and has published in prestigious journals such as Scientific Reports, Spine and Journal of Business Research.

In The Last Decade

Youngjun Kim

50 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Youngjun Kim 458 426 213 197 181 55 1.1k
Emanuela Marcelli 536 1.2× 394 0.9× 16 0.1× 116 0.6× 173 1.0× 107 1.2k
C. Monserrat 213 0.5× 427 1.0× 13 0.1× 200 1.0× 317 1.8× 75 1.4k
Ewa Piętka 106 0.2× 287 0.7× 37 0.2× 334 1.7× 407 2.2× 81 1.3k
Hyoun‐Joong Kong 171 0.4× 163 0.4× 75 0.4× 194 1.0× 280 1.5× 86 1.3k
Laura Cercenelli 548 1.2× 408 1.0× 14 0.1× 82 0.4× 220 1.2× 96 1.0k
Longfei Ma 463 1.0× 539 1.3× 17 0.1× 53 0.3× 281 1.6× 65 1.0k
Jeroen Bergmann 270 0.6× 609 1.4× 29 0.1× 41 0.2× 147 0.8× 88 1.3k
Maki Sugimoto 740 1.6× 436 1.0× 27 0.1× 70 0.4× 301 1.7× 84 1.1k
Darko Štern 214 0.5× 402 0.9× 49 0.2× 220 1.1× 156 0.9× 34 936
Ramin Shahidi 468 1.0× 330 0.8× 31 0.1× 184 0.9× 337 1.9× 65 1.1k

Countries citing papers authored by Youngjun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjun Kim

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