Yoon Joo Choi

517 total citations
41 papers, 346 citations indexed

About

Yoon Joo Choi is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yoon Joo Choi has authored 41 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oral Surgery, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Yoon Joo Choi's work include Dental Radiography and Imaging (18 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yoon Joo Choi is often cited by papers focused on Dental Radiography and Imaging (18 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yoon Joo Choi collaborates with scholars based in South Korea, Spain and United States. Yoon Joo Choi's co-authors include Sang‐Sun Han, Chena Lee, Kug Jin Jeon, Young Hyun Kim, Yong-Suk Choi, Eui-Hwan Hwang, Song Hee Oh, Gyu‐Tae Kim, Jong Hoon Choi and Hoi‐In Jung and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Radiology.

In The Last Decade

Yoon Joo Choi

33 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Joo Choi South Korea 10 189 77 59 55 51 41 346
Fabiana T. Almeida Canada 11 217 1.1× 60 0.8× 64 1.1× 56 1.0× 56 1.1× 37 463
Mamoru Wakoh Japan 14 302 1.6× 99 1.3× 100 1.7× 73 1.3× 96 1.9× 58 479
Kug Jin Jeon South Korea 14 312 1.7× 114 1.5× 103 1.7× 103 1.9× 70 1.4× 62 541
Sérgio Lúcio Pereira de Castro Lopes Brazil 13 302 1.6× 61 0.8× 59 1.0× 139 2.5× 126 2.5× 76 513
Mika Otonari-Yamamoto Japan 12 156 0.8× 84 1.1× 28 0.5× 128 2.3× 100 2.0× 37 380
Melek Taşsöker Türkiye 14 385 2.0× 45 0.6× 53 0.9× 51 0.9× 40 0.8× 69 527
Kwang-Joon Koh South Korea 8 200 1.1× 38 0.5× 59 1.0× 111 2.0× 93 1.8× 20 347
Jerald O. Katz United States 14 384 2.0× 71 0.9× 100 1.7× 60 1.1× 103 2.0× 21 519
Ibrahim Nasseh Lebanon 13 341 1.8× 38 0.5× 75 1.3× 20 0.4× 83 1.6× 40 441
Camila de Nazaré Alves de Oliveira Kato Brazil 11 226 1.2× 30 0.4× 17 0.3× 25 0.5× 95 1.9× 21 320

Countries citing papers authored by Yoon Joo Choi

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Joo Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Joo Choi. 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 Yoon Joo Choi. The network helps show where Yoon Joo Choi may publish in the future.

Co-authorship network of co-authors of Yoon Joo Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Joo Choi. A scholar is included among the top collaborators of Yoon Joo Choi 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 Yoon Joo Choi. Yoon Joo Choi 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
3.
Choi, Yoon Joo, et al.. (2023). Development and accuracy validation of a fat fraction imaging biomarker for sialadenitis in the parotid gland. BMC Oral Health. 23(1). 347–347. 1 indexed citations
5.
Choi, Yoon Joo, et al.. (2023). Refinement of image quality in panoramic radiography using a generative adversarial network. Dentomaxillofacial Radiology. 52(5). 20230007–20230007. 8 indexed citations
6.
Choi, Yoon Joo, Sang‐Sun Han, Chena Lee, & Kug Jin Jeon. (2023). CT and MR imaging findings of head and neck chondrosarcoma. Oral Radiology. 40(2). 242–250.
7.
Choi, Yoon Joo, et al.. (2023). Impact of physiological parameters on the parotid gland fat fraction in a normal population. Scientific Reports. 13(1). 990–990. 4 indexed citations
8.
Jeon, Kug Jin, et al.. (2023). Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm. Scientific Reports. 13(1). 2734–2734. 9 indexed citations
9.
Cho, Eunae Sandra, et al.. (2023). Radiomics-based sialadenitis staging in contrast-enhanced computed tomography and ultrasonography: a preliminary rat model study. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 136(2). 231–239. 3 indexed citations
10.
Lee, Chena, Yoon Joo Choi, Kug Jin Jeon, Seong‐Ho Choi, & Sang‐Sun Han. (2022). Imaging feature of cosmetic fillers in cone-beam computed tomography and its dental consideration. Head & Face Medicine. 18(1). 24–24. 1 indexed citations
11.
Lee, Chena, et al.. (2021). Efficacy of corticosteroid ductal irrigation in acute salivary gland inflammation induced in a rat model. Imaging Science in Dentistry. 52(1). 61–61. 6 indexed citations
12.
Jeon, Kug Jin, Chena Lee, Yoon Joo Choi, & Sang‐Sun Han. (2021). Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method. PLoS ONE. 16(2). e0246596–e0246596. 9 indexed citations
13.
Lee, Chena, et al.. (2021). Accuracy of digital model generated from CT data with metal artifact reduction algorithm. Scientific Reports. 11(1). 10332–10332. 3 indexed citations
14.
Kim, Young Hyun, Kug Jin Jeon, Chena Lee, et al.. (2021). Analysis of the mandibular canal course using unsupervised machine learning algorithm. PLoS ONE. 16(11). e0260194–e0260194. 5 indexed citations
15.
Choi, Yoon Joo, Young Hyun Kim, Sang‐Sun Han, et al.. (2020). Alveolar bone height according to the anatomical relationship between the maxillary molar and sinus. Journal of Periodontal & Implant Science. 50(1). 38–38. 13 indexed citations
16.
Jeon, Kug Jin, Chena Lee, Yoon Joo Choi, & Sang‐Sun Han. (2020). Comparison of the Usefulness of CBCT and MRI in TMD Patients According to Clinical Symptoms and Age. Applied Sciences. 10(10). 3599–3599. 4 indexed citations
17.
Kim, Young Hyun, et al.. (2020). Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography. Scientific Reports. 10(1). 8872–8872. 17 indexed citations
18.
Han, Sang‐Sun, et al.. (2019). Prognosis in case of nerve disturbance after mandibular implant surgery in relation to computed tomography findings and symptoms. Journal of Periodontal & Implant Science. 49(2). 127–127. 5 indexed citations
19.
Yim, Hong-Suh, et al.. (2014). Data Reduction Algorithm for Optical Wide Field Patrol (OWL). Advanced Maui Optical and Space Surveillance Technologies Conference. 1 indexed citations
20.
Choi, Yoon Joo, et al.. (2011). 1.137 COMPARISON OF ENDOTHELIAL PROGENITOR CELLS IN PARKINSON'S DISEASE PATIENTS TREATED WITH LEVODOPA AND LEVODOPA/COMT INHIBITOR. Parkinsonism & Related Disorders. 18. S44–S44. 2 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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