Journal Papers

[JP20]  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", submitted to the Atmospheric Research (2026).  [DOI  in preparation] [IF: 4.4]

[JP19]  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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026).  [DOI  in preparation] [IF: 5.3]

[JP18]  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 Biomedical Signal Processing and Control (2026).  [DOI  in preparation] [IF: 4.9]

[JP17]  S. M. Oh, S. Marano, H. Shin, A. Conti and M. Z. Win, "Noise-Resilient Entanglement Percolation in Quantum Networks via Higher-Order Interactions", submitted to the Physical Review A (2026).  [DOI  in preparation] [IF: 2.9]

[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", accepted at the Signal, Image and Video Processing (2026).  [DOI  in preparation] [IF: 2.1]

[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. U. 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

[CP4]  H. Kim, M. Kim, S. M. Oh†, and J. W. Chong†, "Experimental Analysis of Image Quality Effects on Deep Learning Glaucoma Classification", in 2025 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)  (2025), pp. 1--5.  [DOI link]

[CP3]  J. Han, 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", in 2025 IEEE International Conference on Bioinformatics and Bioengineering (BIBE)  (2025), pp. 723--728  [DOI link]

[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

[UP12]  H. Choi*, S. M. Oh*, and D. Englund, "Quantum Network Error Correction via Multipath Purification", in preparation (2026+).  [DOI  in preparation]

[UP11]  S. M. Oh, "Bond Percolation in Bethe Simplicial Complexes From Classical to Quantum", in preparation (2026+).  [DOI  in preparation]

[UP10]  S. M. Oh, S. Ro and Y. Baek, "Explosive Percolation Transitions in Active Matters", in preparation (2026+).  [DOI  in preparation]

[UP9]  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 (2026+).  [DOI  in reparation]

[UP8]  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 (2026+).  [DOI  in reparation]

[UP7]  S. M. Oh, B. Vidakovic, and J. W. Chong, "Quantum Wavelet Convolutional Neural Network for Low-Resolution Brain MRI Images", in preparation (2026+).  [DOI  in preparation]

[UP6]  Y. Lee*, S. M. Oh*, and B. Kahng, "Higher-order synchronization on scale-free hypergraphs", in preparation (2026+).  [DOI  in preparation]

[UP5]  Y. Lee and S. M. Oh†, "Solvable Framework for Emergent Properties in Static Scale-Free Simplicial Complexes", in preparation (2026+).  [DOI  in preparation]

[UP4]  J. Gao, S. M. Oh†, Y. Li, and J. W. Chong†, "CLIP-Based Vision–Language Framework for Multi-Label Classification of Thoracic Findings on Chest X-Rays", in preparation (2026).  [DOI  in reparation]

[UP3]  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", in prepatation (2026).  [DOI  in reparation]

[UP2]  S. M. Oh and B. Kahng, "Randomness-induced splitting of discontinuous percolation transitions", to be submitted  (2026).  [DOI  in preparation]

[UP1]  S. M. Oh, "Entanglement Distribution Strategies for Large-Scale Quantum Complex Systems", to be submitted (2026).  [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]