Hyun Jin Yoon

556 citations
38 papers · 415 indexed · h-index 12

Hyun Jin Yoon

33 papers receiving 402 citations

Peers

Hyun Jin Yoon
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 177
  • Health Informatics 7
  • Neurology 40
  • Psychiatry and Mental health 71
  • Biological Psychiatry 8
Replace Ángel Torrado-Carvajal with:
Ángel Torrado-Carvajal Spain
Liangdong Zhou United States
Mohammed Goryawala United States
Stefano Mandija Netherlands
Carson Ingo United States
Martin Štumpf Czechia
M.S. Roos United States
Sangwon Lee South Korea
Shih-chang Wang Singapore
K. Hansen Denmark
Hyun Jin Yoon relative to Ángel Torrado-Carvajal Spain Ángel Torrado-Carvajal's profile →
Citations per field
00.5×3.5×
Ángel Torrado-Carvajal · 1×
Citations per year

Countries citing papers authored by Hyun Jin Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Jin Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Jin Yoon. 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 Hyun Jin Yoon. The network helps show where Hyun Jin Yoon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20214
3 202114
4 20197
5 201854
6
Structural Design of a Li-Ion Battery Slitting Machine for the Improved Stability
20181
7 201817
8 201724
9 20168
10 20166
11 20164
12 201423
13 20121
14 201239
15 20125
16 201221
17 201118
18 20116
19 20051
20
Clinical Features of Stroke in Patients Undergoing Maintenance Dialysis
20001

About Hyun Jin Yoon

Hyun Jin Yoon is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 38 papers that have together received 415 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (8 papers), Dementia and Cognitive Impairment Research (8 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Plasma Applications and Diagnostics (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (177 citations), Health Informatics (7 citations) and Neurology (40 citations). Hyun Jin Yoon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Young Jin Jeong, Do‐Young Kang, T. H. Chung, D. C. Seo, Kyung Won Park, Byeong C. Kim, Jae Woo Kim, Gon‐Ho Kim, SangYun Kim and Jung Goo Hong. Their work appears in journals such as Journal of Applied Physics, Scientific Reports and Journal of Physics D Applied Physics.

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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