Yeonjong Shin

43 total papers · 622 total citations
20 papers, 334 citations indexed

About

Yeonjong Shin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yeonjong Shin has authored 20 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yeonjong Shin's work include Model Reduction and Neural Networks (10 papers), Neural Networks and Applications (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Yeonjong Shin is often cited by papers focused on Model Reduction and Neural Networks (10 papers), Neural Networks and Applications (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Yeonjong Shin collaborates with scholars based in United States, South Korea and Bangladesh. Yeonjong Shin's co-authors include Dongbin Xiu, George Em Karniadakis, Zhongqiang Zhang, Jérôme Darbon, Zhen Zhang, Liang Yan, Lu Lu, Mark Ainsworth, Sanghyun Lee and Kailiang Wu and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Neural Networks.

In The Last Decade

Yeonjong Shin

20 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Yeonjong Shin 170 102 97 85 48 20 334
Yiping Lu 254 1.5× 92 0.9× 97 1.0× 66 0.8× 31 0.6× 17 379
Panos Stinis 153 0.9× 61 0.6× 95 1.0× 55 0.6× 28 0.6× 42 382
Alberto Badías 166 1.0× 49 0.5× 60 0.6× 39 0.5× 47 1.0× 18 302
Marco Tezzele 163 1.0× 96 0.9× 44 0.5× 77 0.9× 25 0.5× 20 338
Tong Qin 197 1.2× 164 1.6× 64 0.7× 82 1.0× 39 0.8× 10 376
Elizabeth Qian 210 1.2× 108 1.1× 39 0.4× 96 1.1× 52 1.1× 10 372
George Em Karniadakis 207 1.2× 123 1.2× 61 0.6× 52 0.6× 19 0.4× 13 355
Qifeng Liao 193 1.1× 105 1.0× 55 0.6× 108 1.3× 77 1.6× 34 362
Jakob Zech 128 0.8× 94 0.9× 80 0.8× 97 1.1× 25 0.5× 20 293
Nicola Demo 200 1.2× 117 1.1× 37 0.4× 80 0.9× 18 0.4× 22 327

Countries citing papers authored by Yeonjong Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yeonjong Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonjong Shin

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