Tae-Hoon Yong

475 citations
6 papers · 336 indexed · 1 hit paper · h-index 4
Topics
Dental Radiography and Imaging (4 papers)Medical Imaging Techniques and Applications (2 papers)Oral and Maxillofacial Pathology (2 papers)
Journals
Scientific ReportsDentomaxillofacial RadiologyJournal of the Institute of Electronics and Information Engineers
Partner nations
South Korea

In The Last Decade

Tae-Hoon Yong

5 papers receiving 326 citations

Hit Papers

Deep Learning Hybrid Method to Automatically Diagnose Per...2020202620222024202050100150

Peers

Tae-Hoon Yong
Comparison fields: 5 of 44
  • Oral Surgery 299
  • Biomedical Engineering 88
  • Periodontics 83
  • Artificial Intelligence 79
  • Radiology, Nuclear Medicine and Imaging 58
Replace Sevda Kurt‐Bayrakdar with:
Sevda Kurt‐Bayrakdar Türkiye
Rohan Jagtap United States
Maxim Gusarev Türkiye
Myrthel Vranckx Belgium
Ahmet Faruk Aslan Türkiye
Se-Ryong Kang South Korea
Alper Odabaş Türkiye
Takuma Funakoshi Japan
Lyudmila Tuzova United States
Dmitry Tuzoff Russia
Tae-Hoon Yong relative to Sevda Kurt‐Bayrakdar Türkiye Sevda Kurt‐Bayrakdar's profile →
Citations per field
00.5×1.5×2.4×
Sevda Kurt‐Bayrakdar · 1×
Citations per year

Countries citing papers authored by Tae-Hoon Yong

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Hoon Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae-Hoon Yong. 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-Hoon Yong. The network helps show where Tae-Hoon Yong may publish in the future.

Co-authorship network of co-authors of Tae-Hoon Yong

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 2
3 20
4
Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitisbreakdown →
193
5 117
6
Odontogenic cysts and tumors detection in panoramic radiographs using Deep Convolutional Neural Network(DCNN)
4

About Tae-Hoon Yong

Tae-Hoon Yong is a scholar working on Oral Surgery, Periodontics and Urology, having authored 6 papers that have together received 336 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Oral Surgery (299 citations), Health Informatics (40 citations) and General Dentistry (46 citations). Tae-Hoon Yong has collaborated with scholars based in South Korea. Frequent co-authors include Sam-Sun Lee, Won-Jin Yi, Min-Suk Heo, Kyung‐Hoe Huh, Jo‐Eun Kim, Soon-Chul Choi, Sang-Jeong Lee, Tae‐Il Kim, Se-Ryong Kang and Cheol Song. Their work appears in journals such as Scientific Reports, Dentomaxillofacial Radiology and Journal of the Institute of Electronics and Information Engineers.

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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2026