Dong Il Shin

27 papers receiving 338 citations

Peers

Dong Il Shin
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 232
  • Surgery 152
  • Radiology, Nuclear Medicine and Imaging 152
  • Pulmonary and Respiratory Medicine 49
  • Endocrinology, Diabetes and Metabolism 30
Replace Chan Joon Kim with:
Chan Joon Kim South Korea
F Cucchini Italy
Slayman Obeid Switzerland
Hyemoon Chung South Korea
Sergio Perna Italy
Soichiro Kumagai Japan
Martin Poloczek Czechia
Gökçen Orhan Türkiye
Sung-Won Jang South Korea
Takashi Sugamori Japan
Dong Il Shin relative to Chan Joon Kim South Korea Chan Joon Kim's profile →
Citations per field
00.5×4.2×
Chan Joon Kim · 1×
Citations per year

Countries citing papers authored by Dong Il Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dong Il Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Il Shin. 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 Dong Il Shin. The network helps show where Dong Il Shin may publish in the future.

Co-authorship network of co-authors of Dong Il Shin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2
A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm
1
3 1
4 9
5 17
6 1
7 47
8 2
9 13
10 21
11 10
12 1
13 14
14 14
15 25
16 46
17
The usefulness of ischemia modified albumin as an early ischemic marker to detect coronary artery disease in patients with chest pain presenting to the emergency department
1
18 2
19
유향그래프를 이용한 시스템 신뢰성 평가기법 개발
1
20
Design and Implementation of Workflow Management System
2

About Dong Il Shin

Dong Il Shin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 29 papers that have together received 343 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Coronary Interventions and Diagnostics (10 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (232 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Internal Medicine (17 citations). Dong Il Shin has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Ki‐Bae Seung, Sang Hong Baek, Kiyuk Chang, Pum Joon Kim, Suk Min Seo, Dong‐Bin Kim, Wook Sung Chung, Sung‐Ho Her, Doo Soo Jeon and Pum-Joon Kim. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and International Journal of Cardiology.

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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