Jooyoung Hahn

482 total citations
19 papers, 285 citations indexed

About

Jooyoung Hahn is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jooyoung Hahn has authored 19 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jooyoung Hahn's work include Medical Image Segmentation Techniques (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Image and Signal Denoising Methods (4 papers). Jooyoung Hahn is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Image and Signal Denoising Methods (4 papers). Jooyoung Hahn collaborates with scholars based in Austria, South Korea and Slovakia. Jooyoung Hahn's co-authors include Xue‐Cheng Tai, Ginmo Chung, Chang-Ock Lee, Chunlin Wu, Alfred M. Bruckstein⋆, Michael Hintermüller, Carlos N. Rautenberg, Soo Yeol Lee, Chunjae Park and Jin Keun Seo and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Medical Imaging and International Journal for Numerical Methods in Engineering.

In The Last Decade

Jooyoung Hahn

17 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jooyoung Hahn Austria 8 184 113 38 36 35 19 285
Ruturaj G. Gavaskar India 8 195 1.1× 80 0.7× 74 1.9× 20 0.6× 36 1.0× 12 266
Sílvia Barbeiro Portugal 9 82 0.4× 62 0.5× 35 0.9× 11 0.3× 116 3.3× 31 288
Kang-Yu Ni United States 6 165 0.9× 47 0.4× 19 0.5× 12 0.3× 24 0.7× 20 240
Chang-Ock Lee South Korea 9 41 0.2× 141 1.2× 7 0.2× 85 2.4× 45 1.3× 44 293
Martin Fuchs Germany 10 139 0.8× 66 0.6× 58 1.5× 9 0.3× 23 0.7× 31 286
H.M. Valenzuela United States 7 443 2.4× 82 0.7× 242 6.4× 18 0.5× 15 0.4× 11 489
Stefan Henn Germany 9 192 1.0× 108 1.0× 15 0.4× 4 0.1× 9 0.3× 12 259
Çağdaş Bilen Türkiye 10 141 0.8× 58 0.5× 17 0.4× 31 0.9× 28 0.8× 19 249
Giannis Chantas Greece 8 252 1.4× 52 0.5× 104 2.7× 3 0.1× 29 0.8× 18 299
Jürgen Seiler Germany 11 366 2.0× 69 0.6× 116 3.1× 36 1.0× 50 1.4× 68 446

Countries citing papers authored by Jooyoung Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Jooyoung Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jooyoung Hahn

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

All Works

19 of 19 papers shown
1.
Song, Changhoon, et al.. (2024). ReSDF: Redistancing implicit surfaces using neural networks. Journal of Computational Physics. 502. 112803–112803. 1 indexed citations
2.
Hahn, Jooyoung, Karol Mikula, & Peter Frolkovič. (2023). Laplacian regularized eikonal equation with Soner boundary condition on polyhedral meshes. Computers & Mathematics with Applications. 156. 74–86.
3.
Hahn, Jooyoung, Karol Mikula, Peter Frolkovič, & Branislav Basara. (2021). Finite volume method with the Soner boundary condition for computing the signed distance function on polyhedral meshes. International Journal for Numerical Methods in Engineering. 123(4). 1057–1077. 1 indexed citations
4.
Frolkovič, Peter, Karol Mikula, Jooyoung Hahn, D. Martin, & Branislav Basara. (2020). Flux balanced approximation with least-squares gradient for diffusion equation on polyhedral mesh. Discrete and Continuous Dynamical Systems - S. 14(3). 865–879. 2 indexed citations
5.
Hahn, Jooyoung, et al.. (2019). Numerical Modeling of Spark Ignition in Internal Combustion Engines. Journal of Energy Resources Technology. 142(2). 10 indexed citations
6.
Hahn, Jooyoung, et al.. (2018). Iterative inflow-implicit outflow-explicit finite volume scheme for level-set equations on polyhedron meshes. Computers & Mathematics with Applications. 77(6). 1639–1654. 3 indexed citations
7.
Hahn, Jooyoung, Karol Mikula, Peter Frolkovič, & Branislav Basara. (2017). Inflow-Based Gradient Finite Volume Method for a Propagation in a Normal Direction in a Polyhedron Mesh. Journal of Scientific Computing. 72(1). 442–465. 4 indexed citations
8.
Hintermüller, Michael, Carlos N. Rautenberg, & Jooyoung Hahn. (2014). Functional-analytic and numerical issues in splitting methods for total variation-based image reconstruction. Inverse Problems. 30(5). 55014–55014. 16 indexed citations
9.
Park, Sung Ha, Chang-Ock Lee, & Jooyoung Hahn. (2014). IMAGE SEGMENTATION BASED ON THE STATISTICAL VARIATIONAL FORMULATION USING THE LOCAL REGION INFORMATION. Journal of the Korea Society for Industrial and Applied Mathematics. 18(2). 129–142. 2 indexed citations
10.
Hahn, Jooyoung. (2013). Stroke-Based Surface Reconstruction. Numerical Mathematics Theory Methods and Applications. 6(1). 297–324. 4 indexed citations
11.
Hahn, Jooyoung, Chunlin Wu, & Xue‐Cheng Tai. (2011). Augmented Lagrangian Method for Generalized TV-Stokes Model. Journal of Scientific Computing. 50(2). 235–264. 24 indexed citations
12.
Tai, Xue‐Cheng, Jooyoung Hahn, & Ginmo Chung. (2011). A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method. SIAM Journal on Imaging Sciences. 4(1). 313–344. 134 indexed citations
13.
Hahn, Jooyoung, et al.. (2010). Orientation-Matching Minimization for Image Denoising and Inpainting. International Journal of Computer Vision. 92(3). 308–324. 23 indexed citations
14.
Hahn, Jooyoung & Chang-Ock Lee. (2009). Geometric attraction-driven flow for image segmentation and boundary detection. Journal of Visual Communication and Image Representation. 21(1). 56–66. 10 indexed citations
15.
Hahn, Jooyoung & Chang-Ock Lee. (2009). A Nonlinear Structure Tensor with the Diffusivity Matrix Composed of the Image Gradient. Journal of Mathematical Imaging and Vision. 34(2). 137–151. 15 indexed citations
16.
Kwon, Il Keun, Jooyoung Hahn, & HyunWook Park. (2008). A fast spherical inflation method of the cerebral cortex by deformation of a simplex mesh on the polar coordinates. International Journal of Imaging Systems and Technology. 18(1). 9–16. 5 indexed citations
17.
Lee, Suk‐Ho, Jin Keun Seo, Chunjae Park, et al.. (2006). Conductivity image reconstruction from defective data in MREIT: numerical Simulation and animal experiment. IEEE Transactions on Medical Imaging. 25(2). 168–176. 29 indexed citations
18.
Hahn, Jooyoung, et al.. (2006). Highly accurate segmentation using geometric attraction-driven flow in edge-regions. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
19.
Lee, Chang-Ock, Kiwan Jeon, Youngsoo Ha, & Jooyoung Hahn. (2006). A variational approach to blending based on warping for non-overlapped images. Computer Vision and Image Understanding. 105(2). 112–120. 1 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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