| Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c-means clustering J Sun, Y Li GEOPHYSICS 80 (4), ID1-ID18, 2015 | 185 | 2015 |
| Joint inversion of multiple geophysical data using guided fuzzy c-means clustering J Sun, Y Li Geophysics 81 (3), ID37-ID57, 2016 | 157 | 2016 |
| Adaptive Lp inversion for simultaneous recovery of both blocky and smooth features in a geophysical model J Sun, Y Li Geophysical Journal International 197 (2), 882-899, 2014 | 150 | 2014 |
| Joint inversion of multiple geophysical and petrophysical data using generalized fuzzy clustering algorithms J Sun, Y Li Geophysical Journal International 208 (2), 1201-1216, 2017 | 94 | 2017 |
| 3D magnetization inversion using fuzzy c-means clustering with application to geology differentiation Y Li, J Sun Geophysics 81 (5), J61-J78, 2016 | 83 | 2016 |
| Geology differentiation: A new frontier in quantitative geophysical interpretation in mineral exploration Y Li, A Melo, C Martinez, J Sun The Leading Edge 38 (1), 60-66, 2019 | 49 | 2019 |
| Geophysical inversions applied to 3D geology characterization of an iron oxide copper gold (IOCG) deposit in Brazil AT Melo, J Sun, Y Li Geophysics 82 (5), K1-K13, 2017 | 48 | 2017 |
| Geophysical inversion using petrophysical constraints with application to lithology differentiation J Sun, Y Li SEG Technical Program Expanded Abstracts 2011, 2644-2648, 2011 | 44 | 2011 |
| Unveiling the 3D undercover structure of a Precambrian intrusive complex by integrating airborne magnetic and gravity gradient data into 3D quasi-geology model building J Sun, A Melo, JD Kim, X Wei Interpretation 8 (4), SS15-SS29, 2020 | 37 | 2020 |
| Clustering surface ozone diurnal cycles to understand the impact of circulation patterns in Houston, TX C Bernier, Y Wang, M Estes, R Lei, B Jia, SC Wang, J Sun Journal of Geophysical Research: Atmospheres 124 (23), 13457-13474, 2019 | 33 | 2019 |
| Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms X Wei, J Sun Geophysics 86 (6), G133-G158, 2021 | 28 | 2021 |
| Predicting Magnetization Directions Using Convolutional Neural Networks F Nurindrawati, J Sun Journal of Geophysical Research: Solid Earth 125 (10), e2020JB019675, 2020 | 28 | 2020 |
| Joint inversion of multiple geophysical data: A petrophysical approach using guided fuzzy c-means clustering J Sun, Y Li SEG Technical Program Expanded Abstracts 2012, 1-5, 2012 | 24 | 2012 |
| Inversion of surface and borehole gravity with thresholding and density constraints J Sun, Y Li SEG Technical Program Expanded Abstracts 2010, 1798-1803, 2010 | 24 | 2010 |
| 3D probabilistic geology differentiation based on airborne geophysics, mixed L p norm joint inversion and physical property measurements X Wei, J Sun Geophysics 87 (4), K19-K33, 2022 | 23 | 2022 |
| A general framework for joint inversion with petrophysical information as constraints J Sun, Y Li SEG Technical Program Expanded Abstracts 2013, 3093-3097, 2013 | 23 | 2013 |
| Magnetization clustering inversion Part I: Building an automated numerical optimization algorithm J Sun, Y Li Geophysics 83 (5), J61-J73, 2018 | 22 | 2018 |
| A deep learning enhanced framework for multi-physics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, Y Huang, J Chen Geophysics 88 (1), K13-K26, 2023 | 21 | 2023 |
| A paradigm shift in magnetic data interpretation: Increased value through magnetization inversions Y Li, J Sun, SL Li, M Leão-Santos The Leading Edge 40 (2), 89-98, 2021 | 21 | 2021 |
| Deep learning-enhanced multiphysics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, J Chen, Y Huang First International meeting for applied geoscience & energy, 1721-1725, 2021 | 18 | 2021 |
Yaoguo LiColorado School of MinesVerified email at mines.edu
