Tae Young Kim

611 citations
47 papers · 320 indexed · h-index 12

Tae Young Kim

42 papers receiving 308 citations

Peers

Tae Young Kim
Comparison fields: 5 of 102
  • Health Informatics 9
  • Cardiology and Cardiovascular Medicine 124
  • Cognitive Neuroscience 54
  • Health Information Management 9
  • Artificial Intelligence 59
Replace Miroslav Burša with:
Miroslav Burša Czechia
Václav Chudáček Czechia
Jiří Spilka Czechia
Marco Intraligi Italy
Yulong Xiong China
Yong Bai China
Mayank Agrawal India
Xingzhi Sun China
Regina Padmanabhan Qatar
Ilaria Marcantoni Italy
Tae Young Kim relative to Miroslav Burša Czechia Miroslav Burša's profile →
Citations per field
00.5×2.6×
Miroslav Burša · 1×
Citations per year

Countries citing papers authored by Tae Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Young Kim. 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 Tae Young Kim. The network helps show where Tae Young Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20245
4 202211
5 202133
6 20213
7 202123
8 202022
9 202015
10 20201
11 202022
12 201811
13 20161
14 20141
15 20102
16
Fuzzy Logic-based Bit Compression Method for Distributed Face Recognition
20091
17 20093
18
Relations to Plasma Fibrinogen Concentration and Subtype, Prognostic Influence in Patients with Acute Ischemic Stroke.
20071
19
A Case of Post-total hysterectomy with bilat. salpingooophorectomy Retroperitoneal Endometrial Stromal Sarcoma
20061
20 199515

About Tae Young Kim

Tae Young Kim is a scholar working on Obstetrics and Gynecology, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 320 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Uterine Myomas and Treatments (4 papers), Phonocardiography and Auscultation Techniques (3 papers), Endometriosis Research and Treatment (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Health Informatics (9 citations), Cardiology and Cardiovascular Medicine (124 citations) and Cognitive Neuroscience (54 citations). Tae Young Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Dukyong Yoon, Hong‐Seok Lim, Sukhoon Lee, Dennis D. Cox, Byungjin Choi, Kyoungwon Jung, Rae Woong Park, Wou Young Chung, Hyuk Choi and JeongGil Ko. Their work appears in journals such as Scientific Reports, Electronics Letters, PLoS ONE, JAMA Network Open and JMIR mhealth and uhealth.

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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