Seungik Baek

3.4k total citations
94 papers, 2.5k citations indexed

About

Seungik Baek is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Seungik Baek has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Biomedical Engineering, 39 papers in Cardiology and Cardiovascular Medicine and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Seungik Baek's work include Elasticity and Material Modeling (46 papers), Aortic aneurysm repair treatments (28 papers) and Aortic Disease and Treatment Approaches (17 papers). Seungik Baek is often cited by papers focused on Elasticity and Material Modeling (46 papers), Aortic aneurysm repair treatments (28 papers) and Aortic Disease and Treatment Approaches (17 papers). Seungik Baek collaborates with scholars based in United States, South Korea and Ethiopia. Seungik Baek's co-authors include Jay D. Humphrey, Κ. R. Rajagopal, Shahrokh Zeinali‐Davarani, Arun R. Srinivasa, Jongeun Choi, Andreas Valentin, Rudolph L. Gleason, C. Alberto Figueroa, Byron A. Zambrano and Jungsil Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Seungik Baek

91 papers receiving 2.5k citations

Peers

Seungik Baek
J. D. Humphrey United States
Ivan Veselý United States
Manuel K. Rausch United States
John F. Eberth United States
J. D. Humphrey United States
Seungik Baek
Citations per year, relative to Seungik Baek Seungik Baek (= 1×) peers J. D. Humphrey

Countries citing papers authored by Seungik Baek

Since Specialization
Citations

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

Fields of papers citing papers by Seungik Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungik Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Seungik Baek. A scholar is included among the top collaborators of Seungik Baek 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 Seungik Baek. Seungik Baek 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.
Muluk, Satish C., et al.. (2025). Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model. IEEE Access. 13. 24544–24554. 1 indexed citations
2.
Ha, Seongmin, et al.. (2024). Multi-scaled temporal modeling of cardiovascular disease progression: An illustration of proximal arteries in pulmonary hypertension. Journal of Biomechanics. 168. 112059–112059. 6 indexed citations
3.
Lee, Chung Won, et al.. (2024). Investigating the influence of collagen cross-linking on mechanical properties of thoracic aortic tissue. Frontiers in Bioengineering and Biotechnology. 12. 1305128–1305128. 2 indexed citations
4.
Choy, Jenny S., et al.. (2024). Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach. Artificial Intelligence in Medicine. 157. 102995–102995. 2 indexed citations
5.
Gou, Kun, Jin Hu, & Seungik Baek. (2023). Mechanical characterization of human umbilical arteries by thick-walled models: Enhanced vascular compliance by removing an abluminal lining. Journal of the mechanical behavior of biomedical materials. 142. 105811–105811. 2 indexed citations
6.
Gharahi, Hamidreza, et al.. (2023). A multiscale framework for defining homeostasis in distal vascular trees: applications to the pulmonary circulation. Biomechanics and Modeling in Mechanobiology. 22(3). 971–986. 7 indexed citations
7.
8.
Zambrano, Byron A., Hamidreza Gharahi, Chae Young Lim, Whal Lee, & Seungik Baek. (2021). Association of vortical structures and hemodynamic parameters for regional thrombus accumulation in abdominal aortic aneurysms. International Journal for Numerical Methods in Biomedical Engineering. 38(2). e3555–e3555. 13 indexed citations
9.
Choi, Jongeun, et al.. (2021). Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Computers in Biology and Medicine. 133. 104394–104394. 15 indexed citations
10.
Figueroa, C. Alberto, et al.. (2021). Inverse modeling framework for characterizing patient-specific microstructural changes in the pulmonary arteries. Journal of the mechanical behavior of biomedical materials. 119. 104448–104448. 3 indexed citations
11.
Zhang, Liangliang, Byron A. Zambrano, Jongeun Choi, et al.. (2020). Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model. Journal of International Medical Research. 48(11). 1220768001–1220768001. 4 indexed citations
12.
Baek, Seungik, Chun Liu, Kun Gou, et al.. (2018). Utilization of the Theory of Small on Large Deformation for Studying Mechanosensitive Cellular Behaviors. Journal of Elasticity. 136(2). 137–157. 1 indexed citations
13.
Liu, Chun, et al.. (2015). The Impact of Prestretch Induced Surface Anisotropy on Axon Regeneration. Tissue Engineering Part C Methods. 22(2). 102–112. 9 indexed citations
14.
Zambrano, Byron A., Hamidreza Gharahi, Farhad Jaberi, et al.. (2015). Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT Images. Annals of Biomedical Engineering. 44(5). 1502–1514. 89 indexed citations
15.
Kang, Silvia S., Seungik Baek, & Jay D. Humphrey. (2012). Importance of initial aortic properties on the evolving regional anisotropy, stiffness and wall thickness of human abdominal aortic aneurysms. Journal of The Royal Society Interface. 9(74). 2047–2058. 84 indexed citations
16.
Zeinali‐Davarani, Shahrokh, et al.. (2010). Identification of in vivo material and geometric parameters of a human aorta: toward patient-specific modeling of abdominal aortic aneurysm. Biomechanics and Modeling in Mechanobiology. 10(5). 689–699. 31 indexed citations
17.
Lee, Sang‐Won, et al.. (2009). A Roadmap for Developing Digital Content Distribution Infrastructure. Journal of the Korea society of IT services. 8(4). 75–86. 1 indexed citations
18.
Kang, Minsoo, et al.. (2008). Service Innovation By Using Service Blueprinting:A Case Study of Inchon Airport. Journal of the Korea society of IT services. 7(3). 199–214.
19.
Hu, Jin, Seungik Baek, & Jay D. Humphrey. (2007). Stress–strain behavior of the passive basilar artery in normotension and hypertension. Journal of Biomechanics. 40(11). 2559–2563. 50 indexed citations
20.
Lee, Jungwoo, et al.. (2001). Adoption of Internet Technologies in Small Businesses. Journal of the Association for Information Systems. 71. 5 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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