Jeewoo Yoon

441 total citations
21 papers, 246 citations indexed

About

Jeewoo Yoon is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Jeewoo Yoon has authored 21 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ophthalmology, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Jeewoo Yoon's work include Retinal Diseases and Treatments (10 papers), Retinal Imaging and Analysis (10 papers) and Retinal and Optic Conditions (9 papers). Jeewoo Yoon is often cited by papers focused on Retinal Diseases and Treatments (10 papers), Retinal Imaging and Analysis (10 papers) and Retinal and Optic Conditions (9 papers). Jeewoo Yoon collaborates with scholars based in South Korea, United States and Singapore. Jeewoo Yoon's co-authors include Jinyoung Han, Jeong Mo Han, Daniel Duck-Jin Hwang, Ji In Park, Seungbae Kim, Kyu Hyung Park, Joonhong Sohn, Jiwon Kang, Eunil Park and Minsam Ko and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Medical Internet Research.

In The Last Decade

Jeewoo Yoon

21 papers receiving 237 citations

Peers

Jeewoo Yoon

RNMI

OPHTH

CVPR

ECP

Yu Yu Switzerland

David Geisler Germany

Nachiappan Valliappan India

Pingmei Xu United States

Yiwei Bao China

Efe Bozkir Germany

Nora Castner Germany

Zhaokang Chen Hong Kong

Takumi Toyama Germany

Dwi Juniati Indonesia

Yu Yu Switzerland

Jeewoo Yoon

58 ×0.4

RNMI

56 ×0.5

OPHTH

92 ×2.0

CVPR

16 ×0.4

ECP

29 ×0.9

Citations per year, relative to Jeewoo Yoon Jeewoo Yoon (= 1×) peers Yu Yu

Countries citing papers authored by Jeewoo Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Jeewoo Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeewoo Yoon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Han, Jinyoung, Jeong Mo Han, Jeewoo Yoon, et al.. (2024). Prediction of neovascular age-related macular degeneration recurrence using optical coherence tomography images with a deep neural network. Scientific Reports. 14(1). 5854–5854. 9 indexed citations

Han, Jeong Mo, Jinyoung Han, Ji In Park, et al.. (2024). Anti-VEGF treatment outcome prediction based on optical coherence tomography images in neovascular age-related macular degeneration using a deep neural network. Scientific Reports. 14(1). 28253–28253. 5 indexed citations

Yoon, Jeewoo, et al.. (2024). Micro-Locational Fine Dust Prediction Utilizing Machine Learning and Deep Learning Models. Computer Systems Science and Engineering. 48(2). 413–429. 3 indexed citations

Yoon, Jeewoo, et al.. (2023). Detecting depression on video logs using audiovisual features. Humanities and Social Sciences Communications. 10(1). 7 indexed citations

Yoon, Jeewoo, et al.. (2023). SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection. 3993–3997. 2 indexed citations

Yoon, Jeewoo, et al.. (2023). Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy. Journal of Medical Internet Research. 25. e48142–e48142. 4 indexed citations

Han, Jinyoung, et al.. (2023). Prediction of Visual Acuity in Pathologic Myopia with Myopic Choroidal Neovascularization Treated with Anti-Vascular Endothelial Growth Factor Using a Deep Neural Network Based on Optical Coherence Tomography Images. Biomedicines. 11(8). 2238–2238. 3 indexed citations

Han, Jinyoung, et al.. (2023). Detecting Macular Disease Based on Optical Coherence Tomography Using a Deep Convolutional Network. Journal of Clinical Medicine. 12(3). 1005–1005. 14 indexed citations

Kang, Jiwon, et al.. (2023). Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperation. Education and Information Technologies. 28(9). 12111–12141. 26 indexed citations

10.

Han, Jinyoung, et al.. (2022). Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images. Scientific Reports. 12(1). 2232–2232. 28 indexed citations

11.

Yoon, Jeewoo, Jinyoung Han, Ji In Park, et al.. (2022). Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study. Scientific Reports. 12(1). 422–422. 9 indexed citations

12.

Han, Jinyoung, Jeewoo Yoon, Ji In Park, et al.. (2022). Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images. Scientific Reports. 12(1). 1831–1831. 18 indexed citations

13.

Yoon, Jeewoo, et al.. (2022). TransTraffic: Predicting Network Traffic using Low Resource Data. 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). 786–788. 1 indexed citations

14.

Yoon, Jeewoo, et al.. (2022). D-vlog: Multimodal Vlog Dataset for Depression Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12226–12234. 48 indexed citations

15.

Kim, Jang Hyun, et al.. (2022). News big data analysis of international start-up innovation discourses through topic modelling and network analysis: comparing East Asia and North America. Asian Journal of Technology Innovation. 31(3). 581–603. 2 indexed citations

16.

Kang, Jiwon, Jeewoo Yoon, Eunil Park, & Jinyoung Han. (2022). “Why tag me?”: Detecting motivations of comment tagging in Instagram. Expert Systems with Applications. 202. 117171–117171. 5 indexed citations

17.

Yoon, Jeewoo, et al.. (2022). Trafficformer: A Transformer-based Traffic Predictor. 32. 1–2. 1 indexed citations

18.

Hwang, Daniel Duck-Jin, Jeewoo Yoon, Ji In Park, et al.. (2021). Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography. Scientific Reports. 11(1). 19 indexed citations

19.

Yoon, Jeewoo, Jinyoung Han, Ji In Park, et al.. (2020). Optical coherence tomography-based deep-learning model for detecting central serous chorioretinopathy. Scientific Reports. 10(1). 18852–18852. 38 indexed citations

20.

Kang, Jiwon, Jeewoo Yoon, & Jinyoung Han. (2020). Why do Instagram Users Tag Friends in Comments?. 54–56. 3 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.

Explore authors with similar magnitude of impact