Machine Learning-Based Prediction of Subsurface Elastic Properties Using Seismic and Well-log Data S Kim, Y Cho, Y Gihm, H Jun IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2025 2025 Citations: 2
Identification of Brittleness Distribution Based on Elastic Properties: A Case Study and Application S Kim, H Jun Geophysics and Geophysical Exploration 28 (1), 1-16 , 2025 2025
Resolution enhancement for a seismic velocity model using machine learning S Kim, Y Cho, H Jun Geophysical Journal International 238 (2), 681-699 , 2024 2024 Citations: 3
Machine learning based resolution improvement of velocity structures with prior model S KIM, H Jun AGU Fall Meeting Abstracts 2022, NS12A-0243 , 2022 2022
The Use of Unsupervised Machine Learning for the Attenuation of Seismic Noise S Kim, H Jun Geophysics and Geophysical Exploration 25 (2), 71-84 , 2022 2022 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Resolution enhancement for a seismic velocity model using machine learning S Kim, Y Cho, H Jun Geophysical Journal International 238 (2), 681-699 , 2024 2024 Citations: 3
Machine Learning-Based Prediction of Subsurface Elastic Properties Using Seismic and Well-log Data S Kim, Y Cho, Y Gihm, H Jun IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2025 2025 Citations: 2
The Use of Unsupervised Machine Learning for the Attenuation of Seismic Noise S Kim, H Jun Geophysics and Geophysical Exploration 25 (2), 71-84 , 2022 2022 Citations: 2
Identification of Brittleness Distribution Based on Elastic Properties: A Case Study and Application S Kim, H Jun Geophysics and Geophysical Exploration 28 (1), 1-16 , 2025 2025
Machine learning based resolution improvement of velocity structures with prior model S KIM, H Jun AGU Fall Meeting Abstracts 2022, NS12A-0243 , 2022 2022
