Dongjin Kwon

1.3k citations
31 papers · 707 · h-index 16

Impact in

Papers in

Dongjin Kwon

28 papers receiving 686 citations

Peers

Dongjin Kwon
Comparison fields: 5 of 105
  • Cognitive Neuroscience 258
  • Virology 60
  • Experimental and Cognitive Psychology 92
  • Emergency Medicine 51
  • Biological Psychiatry 13
Replace Christopher R. K. Ching with:
Christopher R. K. Ching United States
Lei Gao China
Huaihou Chen United States
Bożena Góraj Poland
Karen A. Tucker United States
Ariana Anderson United States
Diana Truran United States
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Citations per field
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Christopher R. K. Ching · 1×
Citations per year

Countries citing papers authored by Dongjin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Dongjin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dongjin Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dongjin Kwon Line = papers co-authored together Dongjin Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017112
2 201868
3 201863
4 201752
5 201952
6 201936
7 201733
8 201833
9 200931
10 201829
11 201819
12 201618
13 201918
14 201618
15 201617
16 201715
17 202115
18 201713
19 201810
20 201610

About Dongjin Kwon

Dongjin Kwon is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Infectious Diseases, having authored 31 papers that have together received 707 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), HIV Research and Treatment (3 papers), Face and Expression Recognition (3 papers), Advanced MRI Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (258 citations), Virology (60 citations), Experimental and Cognitive Psychology (92 citations), Emergency Medicine (51 citations) and Biological Psychiatry (13 citations). Dongjin Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Kilian M. Pohl, Edith V. Sullivan, Adolf Pfefferbaum, Natalie M. Zahr, Stephanie A. Sassoon, Devin Prouty, Ian M. Colrain, Fiona C. Baker, Eva M. Müller‐Oehring and Duncan B. Clark. Their work appears in journals such as Human Brain Mapping, Brain Imaging and Behavior, Cortex, Scientific Reports and iScience.

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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