Sang-Jeong Lee

561 citations
26 papers · 382 indexed · 1 hit paper · h-index 10
Topics
Dental Radiography and Imaging (8 papers)Augmented Reality Applications (3 papers)Anatomy and Medical Technology (3 papers)

In The Last Decade

Sang-Jeong Lee

24 papers receiving 371 citations

Hit Papers

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

Peers

Sang-Jeong Lee
Comparison fields: 5 of 82
  • Oral Surgery 248
  • Biomedical Engineering 97
  • Periodontics 75
  • Artificial Intelligence 69
  • Surgery 45
Replace Maxim Gusarev with:
Maxim Gusarev Türkiye
Eha Renwi Astuti Indonesia
Tarry Singh India
Fudong Zhu China
Pierre Lahoud Belgium
Martin Dreher Brazil
Shantanu Vyas United States
Ramadhan Hardani Putra Indonesia
Matvey Ezhov Türkiye
Sang-Jeong Lee relative to Maxim Gusarev Türkiye Maxim Gusarev's profile →
Citations per field
00.5×5.6×
Maxim Gusarev · 1×
Citations per year

Countries citing papers authored by Sang-Jeong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Jeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Jeong Lee. 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 Sang-Jeong Lee. The network helps show where Sang-Jeong Lee may publish in the future.

Co-authorship network of co-authors of Sang-Jeong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Jeong Lee. A scholar is included among the top collaborators of Sang-Jeong Lee 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 Sang-Jeong Lee. Sang-Jeong Lee 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 0
2 0
3 2
4 2
5 20
6 3
7 6
8
Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitisbreakdown →
193
9 9
10 4
11 18
12 32
13 1
14 16
15 1
16 1
17 1
18 14
19 1
20 13

About Sang-Jeong Lee

Sang-Jeong Lee is a scholar working on Oral Surgery, Orthodontics and Human-Computer Interaction, having authored 26 papers that have together received 382 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (8 papers), Augmented Reality Applications (3 papers) and Anatomy and Medical Technology (3 papers). The work is most often cited by research in Oral Surgery (248 citations), General Dentistry (44 citations) and Health Informatics (31 citations). Sang-Jeong Lee has collaborated with scholars based in South Korea, Germany and Ethiopia. Frequent co-authors include Sam-Sun Lee, Kyung‐Hoe Huh, Won-Jin Yi, Min-Suk Heo, Soon-Chul Choi, Jo‐Eun Kim, Tae-Hoon Yong, Tae‐Il Kim, Junehwa Song and Hoon Joo Yang. Their work appears in journals such as Diabetes, Scientific Reports and Sensors.

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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