Stephen Baek

1.7k total citations
65 papers, 880 citations indexed

About

Stephen Baek is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Stephen Baek has authored 65 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Stephen Baek's work include 3D Shape Modeling and Analysis (12 papers), Advanced Numerical Analysis Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Stephen Baek is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Advanced Numerical Analysis Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Stephen Baek collaborates with scholars based in United States, South Korea and Finland. Stephen Baek's co-authors include Kunwoo Lee, Yusen He, Zhiyu Sun, Tinghui Ouyang, Huajin Li, Phong Nguyen, H. S. Udaykumar, Seung‐Tak Ryu, WaiChing Sun and Nikolaos N. Vlassis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Stephen Baek

60 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Baek United States 16 261 170 155 121 100 65 880
Weize Sun China 17 179 0.7× 141 0.8× 95 0.6× 129 1.1× 85 0.8× 91 931
Syed Irtiza Ali Shah Pakistan 15 100 0.4× 171 1.0× 71 0.5× 144 1.2× 79 0.8× 87 841
Soumya Jana India 18 357 1.4× 177 1.0× 237 1.5× 47 0.4× 62 0.6× 104 1.4k
Ran Song China 20 80 0.3× 119 0.7× 524 3.4× 178 1.5× 160 1.6× 117 1.4k
Jianming Wang China 15 265 1.0× 158 0.9× 158 1.0× 24 0.2× 60 0.6× 107 674
W. Balachandran United Kingdom 22 936 3.6× 294 1.7× 182 1.2× 254 2.1× 52 0.5× 109 1.6k
Bin Huang China 19 243 0.9× 238 1.4× 182 1.2× 25 0.2× 137 1.4× 87 1.2k
Matteo Mazzotti Italy 22 279 1.1× 380 2.2× 157 1.0× 43 0.4× 54 0.5× 82 1.3k
Honghai Zhang China 17 263 1.0× 123 0.7× 127 0.8× 30 0.2× 39 0.4× 72 1.0k
Ovidio Salvetti Italy 15 87 0.3× 124 0.7× 267 1.7× 49 0.4× 104 1.0× 147 1000

Countries citing papers authored by Stephen Baek

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Baek. A scholar is included among the top collaborators of Stephen 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 Stephen Baek. Stephen 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.
Park, Sujin, et al.. (2025). Physics-aware machine learning for computational fluid dynamics surrogate model to estimate ventilation performance. Physics of Fluids. 37(2). 2 indexed citations
2.
4.
Valdez, Rupa S., et al.. (2024). Process Quality Assurance of Artificial Intelligence in Medical Diagnosis. 1–8. 3 indexed citations
5.
Cui, Xinguang, Ching‐Long Lin, Stephen Baek, et al.. (2024). Human-airway surface mesh smoothing based on graph convolutional neural networks. Computer Methods and Programs in Biomedicine. 246. 108061–108061. 4 indexed citations
6.
Nguyen, Phong, et al.. (2024). Physics-aware recurrent convolutional neural networks for modeling multiphase compressible flows. International Journal of Multiphase Flow. 177. 104877–104877. 3 indexed citations
7.
Chung, Seung Yeun, Jaewon Oh, Stephen Baek, et al.. (2023). Acute coronary event (ACE) prediction following breast radiotherapy by features extracted from 3D CT, dose, and cardiac structures. Medical Physics. 50(10). 6409–6420. 6 indexed citations
8.
Nguyen, Phong, et al.. (2023). PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials. Science Advances. 9(17). eadd6868–eadd6868. 16 indexed citations
9.
Nguyen, Phong, et al.. (2023). Convolutional neural networks for large-scale dynamical modeling of itinerant magnets. Physical Review Research. 5(3). 8 indexed citations
10.
Nguyen, Phong, et al.. (2023). Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. Journal of Computing and Information Science in Engineering. 23(6). 15 indexed citations
11.
Zimmerman, Miriam B., et al.. (2023). Role of NKCC1 and KCC2 during hypoxia-induced neuronal swelling in the neonatal neocortex. Neurobiology of Disease. 178. 106013–106013. 3 indexed citations
12.
Baek, Stephen, et al.. (2023). Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. 1800–1807. 3 indexed citations
13.
He, Yusen, Stephen Baek, Xiaodong Wu, et al.. (2023). Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer. Frontiers in Oncology. 13. 868471–868471.
14.
15.
Nguyen, Phong, Nikolaos N. Vlassis, Bahador Bahmani, et al.. (2022). Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning. Scientific Reports. 12(1). 9034–9034. 53 indexed citations
16.
Baek, Stephen, et al.. (2021). Body shape matters: Evidence from machine learning on body shape-income relationship. PLoS ONE. 16(7). e0254785–e0254785. 5 indexed citations
17.
Baek, Stephen, Yusen He, Bryan G. Allen, et al.. (2019). What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival.. 7 indexed citations
18.
Sun, Zhiyu, Ramy Harik, & Stephen Baek. (2018). Mesh segmentation via geodesic curvature flow. Computer-Aided Design and Applications. 15(5). 677–683.
19.
Sun, Zhiyu, Yusen He, Andrey Gritsenko, Amaury Lendasse, & Stephen Baek. (2017). Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks.. arXiv (Cornell University). 5 indexed citations
20.
Baek, Stephen, et al.. (2009). Synthesis of Human Body Shape for Given Body Sizes using 3D Body Scan Data. 14(6). 364–373.

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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