Yun‐Chan Chung

65 total papers · 635 total citations
37 papers, 474 citations indexed

About

Yun‐Chan Chung is a scholar working on Computational Mechanics, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Yun‐Chan Chung has authored 37 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 17 papers in Industrial and Manufacturing Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Yun‐Chan Chung's work include Manufacturing Process and Optimization (16 papers), Advanced Numerical Analysis Techniques (12 papers) and Advanced Photonic Communication Systems (6 papers). Yun‐Chan Chung is often cited by papers focused on Manufacturing Process and Optimization (16 papers), Advanced Numerical Analysis Techniques (12 papers) and Advanced Photonic Communication Systems (6 papers). Yun‐Chan Chung collaborates with scholars based in South Korea, United States and Pakistan. Yun‐Chan Chung's co-authors include Sang Chan Park, Byoung K. Choi, Jung W. Park, Hayong Shin, K.J. Park, S.K. Shin, Yong-Jik Lee, Minho Chang, Hyeon Yeong Choi and Yuichi Takushima and has published in prestigious journals such as International Journal of Production Research, Journal of Lightwave Technology and IEEE Journal of Quantum Electronics.

In The Last Decade

Yun‐Chan Chung

34 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Yun‐Chan Chung 254 209 178 128 72 37 474
Ka-Hei Hui 237 0.9× 108 0.5× 60 0.3× 40 0.3× 42 0.6× 58 464
Sung-Chong Chung 77 0.3× 106 0.5× 299 1.7× 35 0.3× 56 0.8× 49 432
Zezhong C. Chen 259 1.0× 250 1.2× 452 2.5× 59 0.5× 153 2.1× 41 540
Shen Dong 236 0.9× 31 0.1× 127 0.7× 51 0.4× 41 0.6× 25 535
Farbod Khameneifar 95 0.4× 58 0.3× 364 2.0× 175 1.4× 154 2.1× 29 484
Morten Kristiansen 106 0.4× 104 0.5× 242 1.4× 28 0.2× 36 0.5× 51 430
Andreas Zabel 65 0.3× 105 0.5× 418 2.3× 123 1.0× 246 3.4× 69 508
Vincent Y. Blouin 52 0.2× 67 0.3× 129 0.7× 23 0.2× 72 1.0× 47 404
Yanlong Cao 96 0.4× 47 0.2× 281 1.6× 55 0.4× 76 1.1× 29 415
M. Sekar 65 0.3× 64 0.3× 279 1.6× 122 1.0× 109 1.5× 31 431

Countries citing papers authored by Yun‐Chan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Chan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Chan Chung. 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 Yun‐Chan Chung. The network helps show where Yun‐Chan Chung may publish in the future.

Co-authorship network of co-authors of Yun‐Chan Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Chan Chung. A scholar is included among the top collaborators of Yun‐Chan Chung 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 Yun‐Chan Chung. Yun‐Chan Chung 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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2026