Sang-Jeong Lee

561 total citations · 1 hit paper
26 papers, 382 citations indexed

About

Sang-Jeong Lee is a scholar working on Oral Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Sang-Jeong Lee has authored 26 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oral Surgery, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Sang-Jeong Lee's work include Dental Radiography and Imaging (8 papers), Augmented Reality Applications (3 papers) and Anatomy and Medical Technology (3 papers). Sang-Jeong Lee is often cited by papers focused on Dental Radiography and Imaging (8 papers), Augmented Reality Applications (3 papers) and Anatomy and Medical Technology (3 papers). Sang-Jeong Lee collaborates with scholars based in South Korea, Germany and Ethiopia. Sang-Jeong Lee's co-authors include Won-Jin Yi, Sam-Sun Lee, Min-Suk Heo, Kyung‐Hoe Huh, Soon-Chul Choi, Jo‐Eun Kim, Tae-Hoon Yong, Tae‐Il Kim, Junehwa Song and Hoon Joo Yang and has published in prestigious journals such as Diabetes, Scientific Reports and Sensors.

In The Last Decade

Sang-Jeong Lee

24 papers receiving 371 citations

Hit Papers

Deep Learning Hybrid Method to Automatically Diagnose Per... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sang-Jeong Lee South Korea 10 248 97 75 69 45 26 382
Weibin Sun China 15 252 1.0× 87 0.9× 254 3.4× 64 0.9× 30 0.7× 34 647
Fudong Zhu China 6 254 1.0× 112 1.2× 35 0.5× 26 0.4× 16 0.4× 18 326
Eha Renwi Astuti Indonesia 11 317 1.3× 114 1.2× 17 0.2× 37 0.5× 19 0.4× 51 445
Tarry Singh India 4 184 0.7× 60 0.6× 30 0.4× 40 0.6× 10 0.2× 8 294
Felix Kunz Germany 14 178 0.7× 63 0.6× 20 0.3× 62 0.9× 48 1.1× 32 574
Pierre Lahoud Belgium 12 563 2.3× 235 2.4× 31 0.4× 61 0.9× 19 0.4× 23 641
Chung-Hsing Li Taiwan 6 324 1.3× 171 1.8× 16 0.2× 65 0.9× 24 0.5× 19 457
Shantanu Vyas United States 4 227 0.9× 71 0.7× 18 0.2× 23 0.3× 19 0.4× 13 312
Maxim Gusarev Türkiye 8 354 1.4× 155 1.6× 33 0.4× 54 0.8× 8 0.2× 10 429

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
1.
Lee, Sang-Jeong, et al.. (2025). Hybrid Deep-Ensemble Network with VAE-Based Augmentation for Imbalanced Tabular Data Classification. Applied Sciences. 15(19). 10360–10360.
2.
3.
Lee, Sang-Jeong, Se-Ryong Kang, Jun-Min Kim, et al.. (2024). MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts. Biomedical Signal Processing and Control. 95. 106411–106411. 2 indexed citations
4.
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Yong, Tae-Hoon, Sang-Jeong Lee, Jo‐Eun Kim, et al.. (2021). QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study. Scientific Reports. 11(1). 15083–15083. 20 indexed citations
6.
Yeom, Han-Gyeol, Jo‐Eun Kim, Kyung‐Hoe Huh, et al.. (2020). Development of panorama resolution phantom for comprehensive evaluation of the horizontal and vertical resolution of panoramic radiography. Scientific Reports. 10(1). 16529–16529. 6 indexed citations
7.
Lee, Sang-Jeong, Hoon Joo Yang, Jo‐Eun Kim, et al.. (2020). Quantitative Augmented Reality-Assisted Free-Hand Orthognathic Surgery Using Electromagnetic Tracking and Skin-Attached Dynamic Reference. Journal of Craniofacial Surgery. 31(8). 2175–2181. 9 indexed citations
8.
Lee, Sang-Jeong, Tae-Hoon Yong, Jo‐Eun Kim, et al.. (2020). Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis. Scientific Reports. 10(1). 7531–7531. 193 indexed citations breakdown →
9.
Lee, Sang-Jeong, Hoon Joo Yang, Kyung‐Hoe Huh, et al.. (2019). Automatic Reproduction of Natural Head Position Using a Portable 3D Scanner Based on Immediate Calibration. Applied Sciences. 10(1). 174–174. 4 indexed citations
10.
Kim, Dae Yeon, et al.. (2019). 944-P: Blood Glucose Prediction for Type 2 Diabetic Patients Using Machine Learning. Diabetes. 68(Supplement_1). 2 indexed citations
11.
Lee, Sang-Jeong, Hoon Joo Yang, Kyung‐Hoe Huh, et al.. (2018). Real-time augmented model guidance for mandibular proximal segment repositioning in orthognathic surgery, using electromagnetic tracking. Journal of Cranio-Maxillofacial Surgery. 47(1). 127–137. 18 indexed citations
12.
Lee, Sang-Jeong, Soon‐Jung Hwang, Kyung‐Hoe Huh, et al.. (2017). Autonomous bone reposition around anatomical landmark for robot-assisted orthognathic surgery. Journal of Cranio-Maxillofacial Surgery. 45(12). 1980–1988. 32 indexed citations
13.
Kim, Joohyun, et al.. (2017). Understanding mobile document capture and correcting orientation errors. International Journal of Human-Computer Studies. 104. 64–79. 1 indexed citations
14.
Lee, Sang-Jeong, Kyung‐Hoe Huh, Sam-Sun Lee, et al.. (2016). Virtual skeletal complex model- and landmark-guided orthognathic surgery system. Journal of Cranio-Maxillofacial Surgery. 44(5). 557–568. 16 indexed citations
15.
Lee, Sang-Jeong, et al.. (2016). Development of a robot-assisted orthognathic surgery system integrated with image-guided navigation. 42. 395–395. 1 indexed citations
16.
Lee, Sang-Jeong, et al.. (2016). How to Report App Feedback?. 3173–3180. 1 indexed citations
17.
Bae, Seok-Hyung, et al.. (2016). Building Blocks for Designing Future Multi-Device Interaction. 2548–2554. 1 indexed citations
18.
Kim, Hyosu, et al.. (2014). Mobile maestro. 277–288. 14 indexed citations
19.
Cho, Jae-Hwan, Sang-Jeong Lee, Cheolsoo Park, et al.. (2013). Correlations between the MR Diffusion-weighted Image (DWI) and the bone mineral density (BMD) as a function of the soft tissue thickness-focus on phantom and patient. Journal of the Korean Physical Society. 62(4). 684–694. 1 indexed citations
20.
Cho, Jae-Hwan, Yongmin Chang, Yong-Ho Cho, et al.. (2011). Development of MRI Scanning Technique that is Comfortable for Patients with Anxiety Disorder. Journal of Magnetics. 16(4). 350–362. 1 indexed citations

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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