Ji Seung Yang

59 total papers · 1.8k total citations
37 papers, 1.1k citations indexed

About

Ji Seung Yang is a scholar working on Management Science and Operations Research, Social Psychology and Computer Networks and Communications. According to data from OpenAlex, Ji Seung Yang has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 11 papers in Social Psychology and 8 papers in Computer Networks and Communications. Recurrent topics in Ji Seung Yang's work include Psychometric Methodologies and Testing (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Grit, Self-Efficacy, and Motivation (8 papers). Ji Seung Yang is often cited by papers focused on Psychometric Methodologies and Testing (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Grit, Self-Efficacy, and Motivation (8 papers). Ji Seung Yang collaborates with scholars based in United States, South Korea and Germany. Ji Seung Yang's co-authors include Allan Wigfield, Katherine Muenks, Laura M. Stapleton, Li Cai, Colleen R. O’Neal, Mark Hansen, Gregory R. Hancock, Daniel McNeish, Jessica R. Gladstone and Yang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Educational Psychology.

In The Last Decade

Ji Seung Yang

35 papers receiving 1.1k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Ji Seung Yang 560 280 269 224 175 37 1.1k
Dena A. Pastor 371 0.7× 309 1.1× 322 1.2× 327 1.5× 172 1.0× 28 1.2k
Tobias Koch 314 0.6× 307 1.1× 401 1.5× 196 0.9× 178 1.0× 56 1.1k
Terrence D. Jorgensen 291 0.5× 395 1.4× 207 0.8× 197 0.9× 124 0.7× 50 1.3k
Myeongsun Yoon 236 0.4× 371 1.3× 239 0.9× 247 1.1× 243 1.4× 38 1.4k
Maria T. Potenza 304 0.5× 275 1.0× 125 0.5× 161 0.7× 191 1.1× 19 988
William M. van der Veld 326 0.6× 411 1.5× 196 0.7× 100 0.4× 116 0.7× 30 1.2k
Tao Xin 197 0.4× 195 0.7× 233 0.9× 240 1.1× 207 1.2× 79 982
Mark H. C. Lai 352 0.6× 360 1.3× 304 1.1× 209 0.9× 85 0.5× 79 1.4k
Carl F. Falk 412 0.7× 303 1.1× 234 0.9× 72 0.3× 247 1.4× 51 1.4k
John T. Behrens 282 0.5× 179 0.6× 207 0.8× 316 1.4× 75 0.4× 55 1.3k

Countries citing papers authored by Ji Seung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Seung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Seung Yang. 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 Seung Yang. The network helps show where Ji Seung Yang may publish in the future.

Co-authorship network of co-authors of Ji Seung Yang

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