Jun Park

1.0k citations
55 papers · 550 · h-index 13

Impact in

Papers in

Jun Park

50 papers receiving 519 citations

Peers

Jun Park
Comparison fields: 5 of 116
  • Human-Computer Interaction 102
  • Psychiatry and Mental health 112
  • Computer Vision and Pattern Recognition 120
  • Biotechnology 45
  • Nutrition and Dietetics 59
Replace Alejandro Rodríguez with:
Alejandro Rodríguez Spain
Zi Ye China
Mingyu Kim South Korea
Hannah Bartlett United Kingdom
Jonathan Hernandez United States
W. H. Laverty Canada
Shumin Chen China
Yanxia Wang China
Theekshana Dissanayake Sri Lanka
Andrea Casanova Italy
Jun Park relative to Alejandro Rodríguez Spain Alejandro Rodríguez's profile →
Citations per field
00.5×
Alejandro Rodríguez · 1×
Citations per year

Countries citing papers authored by Jun Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Park, 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 Jun Park Line = papers co-authored together Jun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200574
2 199449
3 201644
4 201541
5 199938
6 201835
7 201826
8 201520
9 201920
10 200820
11 201815
12 201414
13 201912
14 200611
15 201810
16 19959
17 20219
18 19998
19 20047
20 20206

About Jun Park

Jun Park is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health, Human-Computer Interaction, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 55 papers that have together received 550 indexed citations. Recurring topics across this work include Augmented Reality Applications (17 papers), Epilepsy research and treatment (12 papers), Interactive and Immersive Displays (8 papers), Virtual Reality Applications and Impacts (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Robotics and Sensor-Based Localization (5 papers), Neonatal and fetal brain pathology (4 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Human-Computer Interaction (102 citations), Psychiatry and Mental health (112 citations), Computer Vision and Pattern Recognition (120 citations), Biotechnology (45 citations) and Nutrition and Dietetics (59 citations). Jun Park has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Woohun Lee, J. E. Rollings, Guadalupe Fernández‐Baca Vaca, Piercarlo Valdesolo, Rajkumar Agarwal, Harald Conrad, Harry T. Chugani, Andrew S. Magee, Asim Shahid and Adham Jammoul. Their work appears in journals such as Epileptic Disorders, Journal of Neurosurgery Pediatrics, Biotechnology and Bioengineering, Seizure and Pediatric Neurology.

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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