Seungwon Yoon

576 total citations
25 papers, 414 citations indexed

About

Seungwon Yoon is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Seungwon Yoon has authored 25 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Seungwon Yoon's work include Intracranial Aneurysms: Treatment and Complications (7 papers), Meningioma and schwannoma management (4 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Seungwon Yoon is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (7 papers), Meningioma and schwannoma management (4 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Seungwon Yoon collaborates with scholars based in United States and South Korea. Seungwon Yoon's co-authors include Michael T. Lawton, Ralph Gonzales, Corinna C. Zygourakis, Christopher Moriates, Jan‐Karl Burkhardt, Christy Boscardin, R. Adams Dudley, Caterina Y. Liu, Victoria Valencia and John K. Ratliff and has published in prestigious journals such as Stroke, International Journal of Molecular Sciences and Spine.

In The Last Decade

Seungwon Yoon

24 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungwon Yoon United States 10 145 127 99 78 63 25 414
Gerit Wünsch Austria 12 172 1.2× 44 0.3× 105 1.1× 143 1.8× 18 0.3× 23 479
Jeffrey Gilligan United States 13 57 0.4× 172 1.4× 69 0.7× 13 0.2× 10 0.2× 27 404
Ching‐Chang Huang Taiwan 13 104 0.7× 98 0.8× 4 0.0× 212 2.7× 62 1.0× 48 543
H. Manganas Canada 13 13 0.1× 50 0.4× 78 0.8× 585 7.5× 10 0.2× 38 736
Pavlos Malindretos Greece 14 7 0.0× 48 0.4× 39 0.4× 44 0.6× 33 0.5× 29 417
Paula Dutka United States 7 66 0.5× 48 0.4× 103 1.0× 121 1.6× 12 0.2× 18 570
Alfred S. Casale United States 11 56 0.4× 169 1.3× 33 0.3× 58 0.7× 102 1.6× 17 461
Jordi Bañeras Spain 11 30 0.2× 89 0.7× 5 0.1× 33 0.4× 22 0.3× 51 399
Yohko Murakami United States 12 12 0.1× 42 0.3× 12 0.1× 58 0.7× 27 0.4× 17 509
L. Reuven Pasternak United States 8 34 0.2× 479 3.8× 19 0.2× 96 1.2× 52 0.8× 14 710

Countries citing papers authored by Seungwon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Seungwon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungwon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Seungwon Yoon. A scholar is included among the top collaborators of Seungwon 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 Seungwon Yoon. Seungwon Yoon 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.
Yoon, Seungwon, et al.. (2025). GRU-Based Deep Learning Framework for Real-Time, Accurate, and Scalable UAV Trajectory Prediction. Drones. 9(2). 142–142. 3 indexed citations
2.
Yoon, Seungwon, et al.. (2024). AEmiGAP: AutoEncoder-Based miRNA–Gene Association Prediction Using Deep Learning Method. International Journal of Molecular Sciences. 25(23). 13075–13075. 1 indexed citations
3.
Yoon, Seungwon, et al.. (2023). miGAP: miRNA–Gene Association Prediction Method Based on Deep Learning Model. Applied Sciences. 13(22). 12349–12349. 3 indexed citations
4.
Yoon, Seungwon, et al.. (2023). LncRNA-Disease Association Prediction Model Applying Distance-based Data Labeling. Journal of KIISE. 50(5). 420–428. 1 indexed citations
5.
Yoon, Seungwon, et al.. (2021). Improving Fidelity of Synthesized Voices Generated by Using GANs. KIPS Transactions on Software and Data Engineering. 10(1). 9–18. 1 indexed citations
6.
Yoon, Seungwon, et al.. (2020). GAN-based Augmentation for Populating Speech Dataset with High Fidelity Synthesized Audio. 1267–1269. 1 indexed citations
7.
8.
Yoon, Seungwon, Michael A. Mooney, Michael A. Bohl, et al.. (2018). Patient out-of-pocket spending in cranial neurosurgery: single-institution analysis of 6569 consecutive cases and literature review. Neurosurgical FOCUS. 44(5). E6–E6. 9 indexed citations
9.
Yoon, Seungwon, Michael A. Mooney, Roxanna M. García, & Michael T. Lawton. (2018). Price Transparency in Neurosurgery: Key Challenges and Proposed Solutions. World Neurosurgery. 119. 444–445. 2 indexed citations
10.
Gandhi, Sirin, Claudio Cavallo, Xiaochun Zhao, et al.. (2018). Minimally invasive approaches to aneurysms of the anterior circulation: selection criteria and clinical outcomes. Journal of Neurosurgical Sciences. 62(6). 636–649. 7 indexed citations
11.
Yoon, Seungwon, et al.. (2018). The Architectural Design of Storage System for Power Data Management. 736–738. 2 indexed citations
12.
Mooney, Michael A., Seungwon Yoon, Tyler S. Cole, et al.. (2018). Cost Transparency in Neurosurgery: A Single-Institution Analysis of Patient Out-of-Pocket Spending in 13 673 Consecutive Neurosurgery Cases. Neurosurgery. 84(6). 1280–1289. 14 indexed citations
13.
Bi, Wenya Linda, Michael A. Mooney, Seungwon Yoon, et al.. (2018). Variation in Coding Practices for Vestibular Schwannoma Surgery. Journal of Neurological Surgery Part B Skull Base. 80(1). 96–102. 6 indexed citations
14.
Yoon, Seungwon, Jan‐Karl Burkhardt, & Michael T. Lawton. (2018). Long-term patency in cerebral revascularization surgery: an analysis of a consecutive series of 430 bypasses. Journal of neurosurgery. 131(1). 80–87. 62 indexed citations
15.
Yoon, Seungwon, Justin Mascitelli, Michael A. Mooney, et al.. (2018). Kawase Approach for Dolichoectactic Basilar Artery Macrovascular Decompression in a Patient With Trigeminal Neuralgia: Case Report. Operative Neurosurgery. 16(6). E178–E183. 16 indexed citations
16.
Yoon, Seungwon, et al.. (2018). Nationwide Analysis of Cost Variation for Treatment of Aneurysmal Subarachnoid Hemorrhage. Stroke. 50(1). 199–203. 13 indexed citations
17.
Liu, Caterina Y., Corinna C. Zygourakis, Seungwon Yoon, et al.. (2017). Trends in Utilization and Cost of Cervical Spine Surgery Using the National Inpatient Sample Database, 2001 to 2013. Spine. 42(15). E906–E913. 106 indexed citations
18.
García, Roxanna M., Seungwon Yoon, Tene A. Cage, Matthew B. Potts, & Michael T. Lawton. (2017). Ethnicity, Race, and Postoperative Stroke Risk Among 53,593 Patients with Asymptomatic Carotid Stenosis Undergoing Revascularization. World Neurosurgery. 108. 246–253. 12 indexed citations
19.
García, Roxanna M., Seungwon Yoon, Matthew B. Potts, & Michael T. Lawton. (2016). Investigating the Role of Ethnicity and Race in Patients Undergoing Treatment for Intracerebral Aneurysms Between 2008 and 2013 from a National Database. World Neurosurgery. 96. 230–236. 7 indexed citations
20.
Zygourakis, Corinna C., Seungwon Yoon, Victoria Valencia, et al.. (2016). Operating room waste: disposable supply utilization in neurosurgical procedures. Journal of neurosurgery. 126(2). 620–625. 85 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

Breakdown of academic impact, for papers by Gerit Wünsch Breakdown of academic impact, for papers by Jeffrey Gilligan Breakdown of academic impact, for papers by Ching‐Chang Huang Breakdown of academic impact, for papers by H. Manganas Breakdown of academic impact, for papers by Pavlos Malindretos Breakdown of academic impact, for papers by Paula Dutka Breakdown of academic impact, for papers by Alfred S. Casale Breakdown of academic impact, for papers by Jordi Bañeras Breakdown of academic impact, for papers by Yohko Murakami Breakdown of academic impact, for papers by L. Reuven Pasternak
Rankless by CCL
2026