Jae-Seo Lee

669 total citations
49 papers, 472 citations indexed

About

Jae-Seo Lee is a scholar working on Oral Surgery, Biomedical Engineering and Orthodontics. According to data from OpenAlex, Jae-Seo Lee has authored 49 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oral Surgery, 13 papers in Biomedical Engineering and 9 papers in Orthodontics. Recurrent topics in Jae-Seo Lee's work include Dental Radiography and Imaging (28 papers), Medical Imaging and Analysis (9 papers) and Orthodontics and Dentofacial Orthopedics (8 papers). Jae-Seo Lee is often cited by papers focused on Dental Radiography and Imaging (28 papers), Medical Imaging and Analysis (9 papers) and Orthodontics and Dentofacial Orthopedics (8 papers). Jae-Seo Lee collaborates with scholars based in South Korea and United States. Jae-Seo Lee's co-authors include Suk-Ja Yoon, Shyam Prasad Adhikari, Ho-Gul Jeong, Hyongsuk Kim, Liu Liu, Byung-Cheol Kang, Hyun-Cheol Jeong, Bong-Nam Noh, Junhyung Park and Minsoo Kim and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, Electrochemical and Solid-State Letters and Health Physics.

In The Last Decade

Jae-Seo Lee

41 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Seo Lee South Korea 12 261 106 103 82 75 49 472
S Kanda Japan 15 350 1.3× 56 0.5× 81 0.8× 77 0.9× 16 0.2× 73 834
Aleš Fidler Slovenia 16 400 1.5× 28 0.3× 68 0.7× 136 1.7× 7 0.1× 54 677
Takashi Murakami Japan 10 130 0.5× 8 0.1× 15 0.1× 85 1.0× 14 0.2× 32 401
Yi Fan China 13 79 0.3× 51 0.5× 394 3.8× 471 5.7× 6 0.1× 54 882
Sang-Jeong Lee South Korea 10 248 1.0× 69 0.7× 97 0.9× 45 0.5× 4 0.1× 26 382
Pascal Muam Mah Poland 6 271 1.0× 30 0.3× 182 1.8× 113 1.4× 3 0.0× 20 468
Aleksandar Ivanović Serbia 11 147 0.6× 12 0.1× 82 0.8× 49 0.6× 4 0.1× 35 521
Xinchen Xu China 10 129 0.5× 18 0.2× 70 0.7× 7 0.1× 13 0.2× 30 493
Sangeeta Patankar India 8 151 0.6× 17 0.2× 11 0.1× 23 0.3× 15 0.2× 22 462
Chena Lee South Korea 14 468 1.8× 72 0.7× 178 1.7× 180 2.2× 1 0.0× 70 701

Countries citing papers authored by Jae-Seo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Seo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae-Seo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Seo Lee. A scholar is included among the top collaborators of Jae-Seo 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 Jae-Seo Lee. Jae-Seo 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, Jae-Seo & Suk-Ja Yoon. (2025). Chronic inflammation-induced pseudoankylosis of the temporomandibular joint: a case report. Oral Radiology. 41(4). 607–611.
2.
Song, Ho‐Jun, et al.. (2024). Temporomandibular Joint Segmentation Using Deep Learning for Automated Three-Dimensional Reconstruction. 49(4). 109–117. 1 indexed citations
3.
4.
Kim, Hyongsuk, et al.. (2021). Mandibular Cortical Thinning Detection of Deep Convolutional Neural Network on Panoramic Radiographs. 45(5). 157–164. 2 indexed citations
5.
Kang, Byung-Cheol, Jae-Seo Lee, Suk-Ja Yoon, & Young Kim. (2020). Ameloblastoma with dystrophic calcification: A case report with 3-dimensional cone-beam computed tomographic images of calcification. Imaging Science in Dentistry. 50(4). 373–373. 5 indexed citations
6.
Lee, Eunjoo, Jae-Seo Lee, Byung-Cheol Kang, et al.. (2019). Differences in Osteoporosis Readings on Dental Panoramic Radiographs according to Convolutional Neural Network Test Data. 43(4). 103–109. 2 indexed citations
7.
Lee, Jae-Seo, et al.. (2019). Primordial odontogenic tumor: a case report and literature review. Diagnostic Pathology. 14(1). 92–92. 24 indexed citations
8.
Lee, Jae-Seo, et al.. (2019). Effect of Training and Testing Condition of Convolutional Neural Network on evaluating Osteoporosis. 43(3). 73–80. 2 indexed citations
9.
Kang, Byung-Cheol, et al.. (2018). Bilateral postoperative maxillary cysts presenting as a diagnostic challenge. 42(3). 168–173. 2 indexed citations
10.
Im, Yeong-Gwan, et al.. (2018). Diagnostic accuracy and reliability of panoramic temporomandibular joint (TMJ) radiography to detect bony lesions in patients with TMJ osteoarthritis. Journal of Dental Sciences. 13(4). 396–404. 18 indexed citations
11.
Yoon, Suk-Ja, et al.. (2017). Retrospective study of intentional tooth replantation. 41(4). 201–206. 1 indexed citations
12.
Yang, Byoung‐Eun, et al.. (2014). Diagnostic Reference Levels for Panoramic and Lateral Cephalometric Radiography of Korean Children. Health Physics. 107(2). 111–116. 8 indexed citations
13.
Kook, Min-Suk, Seunggon Jung, Hong-Ju Park, et al.. (2013). A comparison study of different facial soft tissue analysis methods. Journal of Cranio-Maxillofacial Surgery. 42(5). 648–656. 47 indexed citations
14.
Lee, Dong Ho, Jae-Seo Lee, Suk-Ja Yoon, & Byung-Cheol Kang. (2010). Three dimensional evaluation of impacted mesiodens using dental cone beam CT. Imaging Science in Dentistry. 40(3). 109–114. 10 indexed citations
15.
Kang, Byung-Cheol, et al.. (2009). Reference dose levels for dental periapical radiography in Chonnam Province. Imaging Science in Dentistry. 39(4). 195–198. 2 indexed citations
16.
Lee, Jae-Seo, et al.. (2009). Reference dose levels for dental panoramic radiography in Anyang City. Imaging Science in Dentistry. 39(4). 199–203. 2 indexed citations
17.
Lee, Jae-Seo, Suk-Ja Yoon, & Byung-Cheol Kang. (2009). Mandibular canal branches supplying the mandibular third molar observed on cone beam computed tomographic images: Reports of four cases. Imaging Science in Dentistry. 39(4). 209–212. 3 indexed citations
18.
Kim, Yong Min, Cheol‐Hee Lee, Jeonghun Kim, et al.. (2006). Prevalence of Allergic Rhinitis on the Basis of ARIA Classification. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 49(6). 623–628. 4 indexed citations
19.
Lee, Jae-Seo, Byung-Cheol Kang, & Suk-Ja Yoon. (2005). The survey of the surface doses of the dental x-ray machines. Imaging Science in Dentistry. 35(2). 87–90. 2 indexed citations
20.
Min, Yang‐Gi, et al.. (2004). Transseptal Transsphenoidal Pituitary Surgery in Children：Influence on Nasal Symptoms and Growth of the External Nose. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 47(4). 331–334.

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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