Kyong‐Mee Chung

189 total papers · 2.4k total citations
110 papers, 1.6k citations indexed

About

Kyong‐Mee Chung is a scholar working on Clinical Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Kyong‐Mee Chung has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Clinical Psychology, 30 papers in Sociology and Political Science and 26 papers in Cognitive Neuroscience. Recurrent topics in Kyong‐Mee Chung's work include Autism Spectrum Disorder Research (23 papers), Family and Disability Support Research (21 papers) and Child Nutrition and Feeding Issues (18 papers). Kyong‐Mee Chung is often cited by papers focused on Autism Spectrum Disorder Research (23 papers), Family and Disability Support Research (21 papers) and Child Nutrition and Feeding Issues (18 papers). Kyong‐Mee Chung collaborates with scholars based in South Korea, United States and Israel. Kyong‐Mee Chung's co-authors include Mark D. Rapport, G C Shore, Colin B. Denney, Uichin Lee, Koji Yatani, Minsam Ko, Subin Yang, Joonwon Lee, Junehwa Song and Kyung‐Sook Lee and has published in prestigious journals such as Journal of Child Psychology and Psychiatry, Computers & Education and Sensors.

In The Last Decade

Kyong‐Mee Chung

101 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
Kyong‐Mee Chung 510 502 394 343 303 110 1.6k
Santo Di Nuovo 447 0.9× 378 0.8× 246 0.6× 204 0.6× 212 0.7× 166 2.0k
Benjamin J. Lovett 460 0.9× 459 0.9× 614 1.6× 206 0.6× 532 1.8× 91 2.0k
Stefano Triberti 252 0.5× 382 0.8× 171 0.4× 425 1.2× 179 0.6× 73 2.3k
Felicity Baker 679 1.3× 444 0.9× 187 0.5× 268 0.8× 161 0.5× 64 2.3k
Michael O’Leary 195 0.4× 612 1.2× 186 0.5× 194 0.6× 232 0.8× 124 2.2k
Mary Katsikitis 305 0.6× 471 0.9× 248 0.6× 307 0.9× 134 0.4× 79 1.6k
Caterina Primi 288 0.6× 705 1.4× 169 0.4× 410 1.2× 241 0.8× 124 2.4k
Brendan Gail Rule 739 1.4× 354 0.7× 246 0.6× 612 1.8× 277 0.9× 70 2.1k
Gerard H. Maassen 186 0.4× 731 1.5× 256 0.6× 299 0.9× 296 1.0× 46 1.7k
Hudson Golino 614 1.2× 537 1.1× 217 0.6× 240 0.7× 226 0.7× 62 2.4k

Countries citing papers authored by Kyong‐Mee Chung

Since Specialization
Citations

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

Fields of papers citing papers by Kyong‐Mee Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyong‐Mee Chung

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