Sun Ju Chung

516 total citations
19 papers, 372 citations indexed

About

Sun Ju Chung is a scholar working on Sociology and Political Science, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Sun Ju Chung has authored 19 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 6 papers in Education and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Sun Ju Chung's work include Impact of Technology on Adolescents (12 papers), Child Development and Digital Technology (6 papers) and Perfectionism, Procrastination, Anxiety Studies (2 papers). Sun Ju Chung is often cited by papers focused on Impact of Technology on Adolescents (12 papers), Child Development and Digital Technology (6 papers) and Perfectionism, Procrastination, Anxiety Studies (2 papers). Sun Ju Chung collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Sun Ju Chung's co-authors include Sooyeon Suh, Jung‐Seok Choi, A Ruem Choi, Minkyung Park, Ji Yoon Lee, Jiyoon Lee, Soo‐Young Bhang, Yong‐Sil Kweon, Myung Hun Jung and Dai‐Jin Kim and has published in prestigious journals such as Cerebral Cortex, SLEEP and International Journal of Environmental Research and Public Health.

In The Last Decade

Sun Ju Chung

15 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sun Ju Chung South Korea 13 212 135 117 112 62 19 372
Wan-Sen Yan China 8 208 1.0× 172 1.3× 63 0.5× 85 0.8× 59 1.0× 11 398
Pınar Ünal‐Aydın Bosnia and Herzegovina 11 164 0.8× 119 0.9× 82 0.7× 82 0.7× 39 0.6× 34 342
Shuaiyu Chen China 12 129 0.6× 85 0.6× 87 0.7× 52 0.5× 128 2.1× 30 300
Cheng‐Sheng Chen Taiwan 8 203 1.0× 134 1.0× 71 0.6× 83 0.7× 137 2.2× 9 398
Michelle Jin Yee Neoh Singapore 11 93 0.4× 113 0.8× 55 0.5× 91 0.8× 73 1.2× 30 372
Michela Romano Italy 9 241 1.1× 96 0.7× 36 0.3× 140 1.3× 62 1.0× 11 345
Jun Won Hwang South Korea 6 224 1.1× 122 0.9× 28 0.2× 123 1.1× 65 1.0× 10 383
Ran Tao China 14 125 0.6× 37 0.3× 108 0.9× 78 0.7× 263 4.2× 32 470
Julia Dieter Germany 6 214 1.0× 87 0.6× 50 0.4× 111 1.0× 80 1.3× 10 287
Chunxiang Huang China 10 147 0.7× 148 1.1× 44 0.4× 86 0.8× 43 0.7× 18 317

Countries citing papers authored by Sun Ju Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sun Ju Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Ju 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 Sun Ju Chung. The network helps show where Sun Ju Chung may publish in the future.

Co-authorship network of co-authors of Sun Ju Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Ju Chung. A scholar is included among the top collaborators of Sun Ju 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 Sun Ju Chung. Sun Ju Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shin, Jung Hwan, Chaewon Shin, Hyun Je Kim, et al.. (2025). Distinct spatial transcriptomic patterns of substantia Nigra in Parkinson disease and Parkinsonian subtype of multiple system atrophy. Acta Neuropathologica Communications. 13(1). 193–193.
2.
Jo, Sungyang, Ji‐Hyun Lee, Jae Seung Kim, et al.. (2025). Enhancing 3D dopamine transporter imaging as a biomarker for Parkinson’s disease via self-supervised learning with diffusion models. Cell Reports Medicine. 6(7). 102207–102207.
3.
Heo, Hwon, et al.. (2025). Deep Learning‐Based Brainstem Segmentation and Multi‐Class Classification for Parkinsonian Syndrome. Journal of Magnetic Resonance Imaging. 63(4). 1108–1121.
4.
Jang, Yoon Ok, Hee‐Sung Ahn, Wangyong Shin, et al.. (2023). Magnetic transferrin nanoparticles (MTNs) assay as a novel isolation approach for exosomal biomarkers in neurological diseases. Biomaterials Research. 27(1). 12–12. 23 indexed citations
5.
Yoo, So Young, Su Mi Park, Chi-Hyun Choi, et al.. (2022). Harm avoidance, daily stress, and problematic smartphone use in children and adolescents. Frontiers in Psychiatry. 13. 962189–962189. 6 indexed citations
7.
Lee, Jiyoon, A Ruem Choi, Sun Ju Chung, et al.. (2021). Event-related brain response to visual cues in individuals with Internet gaming disorder: relevance to attentional bias and decision-making. Translational Psychiatry. 11(1). 258–258. 30 indexed citations
8.
Jang, Joon Hwan, Sun Ju Chung, A Ruem Choi, et al.. (2021). Association of General Cognitive Functions with Gaming Use in Young Adults: A Comparison among Excessive Gamers, Regular Gamers and Non-Gamers. Journal of Clinical Medicine. 10(11). 2293–2293. 15 indexed citations
9.
Lee, Jiyoon, Joon Hwan Jang, A Ruem Choi, et al.. (2021). Neuromodulatory Effect of Transcranial Direct Current Stimulation on Resting-State EEG Activity in Internet Gaming Disorder: A Randomized, Double-Blind, Sham-Controlled Parallel Group Trial. Cerebral Cortex Communications. 2(1). tgaa095–tgaa095. 17 indexed citations
10.
Park, Minkyung, Myung Hun Jung, Jiyoon Lee, et al.. (2020). Neurophysiological and Cognitive Correlates of Error Processing Deficits in Internet Gaming Disorder. Cerebral Cortex. 30(9). 4914–4921. 21 indexed citations
11.
Lee, Minji, Sun Ju Chung, Youngjo Lee, et al.. (2020). Investigation of Correlated Internet and Smartphone Addiction in Adolescents: Copula Regression Analysis. International Journal of Environmental Research and Public Health. 17(16). 5806–5806. 15 indexed citations
12.
Chung, Sun Ju, Joon Hwan Jang, Ji Yoon Lee, et al.. (2020). Self-Efficacy and Clinical Characteristics in Casual Gamers Compared to Excessive Gaming Users and Non-Gamers in Young Adults. Journal of Clinical Medicine. 9(9). 2720–2720. 17 indexed citations
13.
Chung, Sun Ju, et al.. (2019). Validation of the Korean Bedtime Procrastination Scale in Young Adults. 16(1). 41–47. 16 indexed citations
14.
15.
Choi, Jae‐Suk, Jiyoon Lee, Sun Ju Chung, et al.. (2019). The Mediating Effects of Affect on Associations between Impulsivity or Resilience and Internet Gaming Disorder. Journal of Clinical Medicine. 8(8). 1102–1102. 16 indexed citations
16.
Lee, Ji Yoon, A Ruem Choi, Sun Ju Chung, et al.. (2019). Application of Diagnostic Interview for Internet Addiction (DIA) in Clinical Practice for Korean Adolescents. Journal of Clinical Medicine. 8(2). 202–202. 24 indexed citations
17.
Chung, Sun Ju, et al.. (2019). What do people do before going to bed? A study of bedtime procrastination using time use surveys. SLEEP. 43(4). 93 indexed citations
18.
Lee, Ji Yoon, A Ruem Choi, Sun Ju Chung, et al.. (2018). The Role of Resilience in Internet Addiction among Adolescents between Sexes: A Moderated Mediation Model. Journal of Clinical Medicine. 7(8). 222–222. 53 indexed citations
19.
Chung, Sun Ju & Calvin A. Colarusso. (2012). The Use of the Computer and the Internet in Child Psychoanalysis. The Psychoanalytic Study of the Child. 66(1). 197–223. 7 indexed citations

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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