Journal Papers
[JP21] S. M. Oh, S. Marano, H. Shin, A. Conti and M. Z. Win, "Noise-Resilient Entanglement Percolation in Quantum Networks via Higher-Order Interactions", to be submitted to the Physical Review E (2025). [DOI in preparation]
[JP20] S. M. Oh, S.-W. Son, and B. Kahng, "Randomness-induced splitting of discontinuous percolation transitions", to be submitted to the Physical Review Letters (2025). [DOI in preparation]
[JP19] Y. Lee*, J. Kissell*, S. M. Oh*, and B. Vidakovic, "Scale-Specific Dependence of North Atlantic Tropical Cyclones on Climate Variability Revealed by Wavelet Distance Correlations", to be submitted to the Atmospheric Research (2025). [DOI in preparation]
[JP18] Y. Lee*, S. M. Oh*, and B. Vidakovic, "Seasonal and Diurnal Scaling Analysis of Atmospheric Patterns Using Wavelet and Functional ANOVA on Geostationary Satellite Imagery", submitted to the IEEE Transactions on Geoscience and Remote Sensing (2025). [DOI in preparation] [IF: 8.6]
[JP17] J. Han, S. M. Oh†, H. Jo, B. L. Ortiz, Y. Li, and J. W. Chong†, "Hybrid Anatomical and Deep Feature Fusion for Automated Glaucoma Detection", submitted to the Medical & Biological Engineering & Computing (2025). [DOI in reparation] [IF: 2.6]
[JP16] J. Seong, S. M. Oh†, B. L. Ortiz, and J. W. Chong†, "Reliable Pneumonia Detection and Wheeze–Crackle Classification via Data Balancing and Augmentation", submitted to the IEEE Sensors Journal (2025). [DOI in preparation] [IF: 4.5]
[JP15] S. M. Oh and B. Vidakovic, "Wavelet-Based Coarse Graining for Percolation Criticality from a Single System Size", Chaos 35, 073112 (2025). [DOI link] [Editor's Pick] [IF: 3.2]
[JP14] S. M. Oh, Y. Lee, and B. Kahng, "Emergent Properties in Social Networks with Higher-Order Interactions", Chaos Solitons, & Fractals 199, 116649 (2025). [DOI link] [IF: 5.6]
[JP13] S. M. Oh, K. Choi, and B. Kahng, "Machine Learning Approach to Percolation Transitions: Global Information", Journal of Statistical Mechanics 2023, 083210 (2023). [DOI link] [IF: 1.9]
[JP12] J. W. Song, K. Choi, S. M. Oh, and B. Kahng, "Exploring Nonlinear Dynamics and Network Structures in Kuramoto Systems Using Machine Learning Approaches", Chaos 33, 073148 (2023). [DOI link] [IF: 3.2]
[JP11] Y. Jeong, S. M. Oh, and Y. S. Cho, "Discontinuous Emergence of a Giant Cluster in Assortative Scale-Free Networks", Journal of the Korean Physical Society 81, 608 (2022). [DOI link] [IF: 0.9]
[JP10] H.-A. Kim, S.-R. Chung, S. M. Oh, B.-I. Lee, and I.-C, Shin, "The Impact of Spatio-temporal Resolution of GEO-KOMPSAT-2A Rapid Scan Imagery on the Retrieval of Mesoscale Atmospheric Motion Vector", Korean Journal of Remote Sensing 37, 885 (2021). [DOI link] [IF: 0.4]
[JP9] S. M. Oh, Y. Lee, J. Lee, and B. Kahng, "Emergence of Betti Numbers in Growing Simplicial Complexes: Analytical Solutions", Journal of Statistical Mechanics 2021, 083218 (2021). [DOI link] [IF: 2.2]
[JP8] J. Lee, Y. Lee, S. M. Oh, and B. Kahng, "Betweenness Centrality of Teams in Social Networks", Chaos 31, 061108 (2021). [DOI link] [IF: 2.7]
[JP7] S. M. Oh, S.-W. Son and B. Kahng, "Percolation Transitions in Growing Networks Under Achlioptas Processes: Analytic Solutions", Chaos, Solitons & Fractals 146, 110889 (2021). [DOI link] [IF: 5.6]
[JP6] Y. Lee, J. Lee, S. M. Oh, D. Lee, and B. Kahng, "Homological Percolation Transitions in Growing Simplicial Complexes", Chaos 31, 041102 (2021). [DOI link] [IF: 3.2]
[JP5] D. Santek, ..., S. M. Oh (12th/16), et al., "2018 Atmospheric Motion Vector (AMV) Intercomparison Study", Remote Sensing 11, 2240 (2019). [DOI link] [IF: 4.1]
[JP4] S. M. Oh, R. Borde, M. Carranza, and I.-C, Shin, "Development and Intercomparison Study of Atmospheric Motion Vector Retrieval Algorithm for GEO-KOMPSAT-2A", Remote Sensing 11, 2054 (2019). [DOI link] [IF: 4.1]
[JP3] S. M. Oh, S.-W. Son, and B. Kahng, "Discontinuous Percolation Transitions in Growing Networks", Journal of Statistical Mechanics 2019, 083502 (2019). [DOI link] [IF: 1.9]
[JP2] S. M. Oh, S.-W. Son, and B. Kahng, "Suppression Effect on the Berezinskii-Kosterlitz-Thouless Transition in Growing Networks", Physical Review E 98, 060301(R) (2018). [DOI link] [IF: 2.4]
[JP1] S. M. Oh, S.-W. Son, and B. Kahng, "Explosive Percolation Transitions in Growing Networks", Physical Review E 93, 032316 (2016). [DOI link] [IF: 2.4]
Conference Papers
[CP6] J. Gao, S. M. Oh†, Y. Li, and J. W. Chong†, "Zero-Shot CLIP-Based Multilabel Classification of Long-Tailed Thoracic Diseases", to be submitted to the 2026 IEEE International Symposium on Biomedical Imaging (ISBI) (2026). [DOI in reparation]
[CP5] H. Kim, M. Kim, S. M. Oh†, and J. W. Chong†, "Impact of Fundus Image Quality on Deep Learning-Based Glaucoma Detection", submitted to the 2025 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (2025). [DOI in reparation]
[CP4] H. Nam, H. G. Kim, S. Kim, S. M. Oh†, and J. W. Chong†, "Oscillatory Signature Recovery across Healthy and Pneumonic Respiratory Sounds via Physics-Informed Neural Networks", submitted to the 2025 IEEE International Conference on Bioinformatics and Bioengineering (BIBE) (2025). [DOI in reparation]
[CP3] J. Han nd, S. M. Oh†, H. Jo, B. L. Ortiz, Y. Li, and J. W. Chong†, "Automated Glaucoma Classification in Fundus Images Using Multi-Backbone Feature Fusion", submitted to the 2025 IEEE International Conference on Bioinformatics and Bioengineering (BIBE) (2025) [DOI in preparation]
[CP2] S. M. Oh, Y. Li, and J. W. Chong, "Wavelet Convolutional Neural Network for Low-Resolution Brain MRI Images", in 2025 IEEE International Symposium on Biomedical Imaging (ISBI) (2025), pp. 1--5. [DOI link]
[CP1] S. M. Oh, H. Shin, S. Marano, A. Conti, and M. Z. Win, "Entanglement Percolation in Noisy Quantum Networks", in 2024 IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC) (2024), pp. 143--149. [DOI link] [Best Paper Award]
Upcoming Papers
[UP9] H. Choi*, S. M. Oh*, and D. Englund, "Quantum Network Error Correction via Multipath Purification", in preparation (2025). [DOI in preparation]
[UP8] S. M. Oh, "Bond Percolation in Bethe Simplicial Complexes From Classical to Quantum", in preparation (2025). [DOI in preparation]
[UP7] S. M. Oh, S. Ro and Y. Baek, "Explosive Percolation Transitions in Active Matters", in preparation (2025). [DOI in preparation]
[UP6] H. Nam, H. G. Kim, S. Kim, S. M. Oh†, and J. W. Chong†, "Interpretable Classification of Pneumonic Respiratory Sounds via Physics-Informed Neural Networks", in preparation (2025). [DOI in reparation]
[UP5] J. Gao, S. M. Oh†, Y. Li, and J. W. Chong†, "Interpretability-Aware Vision-Language Framework for Post-COVID Multi-label Chest X-ray Analysis", in preparation (2025). [DOI in reparation]
[UP4] S. M. Oh, B. Vidakovic, and J. W. Chong, "Quantum Wavelet Convolutional Neural Network for Low-Resolution Brain MRI Images", in preparation (2025). [DOI in preparation]
[UP3] Y. Lee*, S. M. Oh*, and B. Kahng, "Higher-order synchronization on scale-free hypergraphs", in preparation (2025). [DOI in preparation]
[UP2] Y. Lee and S. M. Oh†, "Solvable Framework for Emergent Properties in Static Scale-Free Simplicial Complexes", in preparation (2025). [DOI in preparation]
[UP1] S. M. Oh, "Entanglement Distribution Strategies for Large-Scale Quantum Complex Systems", in preparation (2025). [DOI in preparation]
Thesis & Dissertation
S. M. Oh, "Percolation Transitions in Growing Networks and Simplicial Complexes", Doctoral Dissertation, Seoul National University, Korea (2021). [DOI link]
S. M. Oh, "Explosive Percolation Transitions in Growing Networks", Master’s Thesis, Seoul National University, Korea (2016). [DOI link]