| Identification of weak anomalies: A multifractal perspective R Zuo, J Wang, G Chen, M Yang Journal of Geochemical Exploration 148, 12-24, 2015 | 136 | 2015 |
| A machine learning methodology for multivariate pore-pressure prediction H Yu, G Chen, H Gu Computers & Geosciences 143, 104548, 2020 | 74 | 2020 |
| Singularity analysis based on wavelet transform of fractal measures for identifying geochemical anomaly in mineral exploration G Chen, Q Cheng Computers & Geosciences 87, 56-66, 2016 | 70 | 2016 |
| Fractal-based wavelet filter for separating geophysical or geochemical anomalies from background G Chen, Q Cheng Mathematical Geosciences 50 (3), 249-272, 2018 | 44 | 2018 |
| Gravity method for investigating the geological structures associated with W–Sn polymetallic deposits in the Nanling Range, China G Chen, T Liu, J Sun, Q Cheng, B Sahoo, Z Zhang, H Zhang Journal of Applied Geophysics 120, 14-25, 2015 | 44 | 2015 |
| Reconstructing Earth’s atmospheric oxygenation history using machine learning G Chen, Q Cheng, TW Lyons, J Shen, F Agterberg, N Huang, M Zhao Nature Communications 13 (1), 5862, 2022 | 37 | 2022 |
| Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province G Chen, N Huang, G Wu, L Luo, D Wang, Q Cheng Ore Geology Reviews 143, 104765, 2022 | 37 | 2022 |
| Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective G Chen, Q Cheng, R Zuo, T Liu, Y Xi Geophysical Prospecting 63 (1), 256-270, 2015 | 37 | 2015 |
| Improved total magnetization direction determination by correlation of the normalized source strength derivative and the reduced-to-pole fields H Zhang, D Ravat, YR Marangoni, G Chen, X Hu Geophysics 83 (6), J75-J85, 2018 | 34 | 2018 |
| Quantitative analysis of iron and silicon concentrations in iron ore concentrate using portable X-ray fluorescence (XRF) S Zhou, Z Yuan, Q Cheng, DC Weindorf, Z Zhang, J Yang, X Zhang, ... Applied Spectroscopy 74 (1), 55-62, 2020 | 33 | 2020 |
| Unsupervised machine learning for lithological mapping using geochemical data in covered areas of Jining, China G Wu, G Chen, Q Cheng, Z Zhang, J Yang Natural Resources Research 30, 1053-1068, 2021 | 29 | 2021 |
| Fractal density modeling of crustal heterogeneity from the KTB deep hole G Chen, Q Cheng Journal of Geophysical Research: Solid Earth 122 (3), 1919-1933, 2017 | 29 | 2017 |
| Mineral prospectivity mapping using attention-based convolutional neural network Q Li, G Chen, L Luo Ore Geology Reviews 156, 105381, 2023 | 27 | 2023 |
| Matched filtering method for separating magnetic anomaly using fractal model G Chen, Q Cheng, H Zhang Computers & geosciences 90, 179-188, 2016 | 25 | 2016 |
| Three‐dimensional crustal structures of the Shanxi rift constructed by Rayleigh wave dispersion curves and ellipticity: Implication for sedimentation, intraplate volcanism, and … H Xu, Y Luo, Y Yang, W Shen, X Yin, G Chen, X Yang, S Sun Journal of Geophysical Research: Solid Earth 125 (11), e2020JB020146, 2020 | 23 | 2020 |
| Cyclicity and persistence of Earth's evolution over time: Wavelet and fractal analysis G Chen, Q Cheng Geophysical Research Letters 45 (16), 8223-8230, 2018 | 22 | 2018 |
| Hadean tectonics: Insights from machine learning G Chen, T Kusky, L Luo, Q Li, Q Cheng Geology 51 (8), 718-722, 2023 | 19 | 2023 |
| Seismic stratum segmentation using an encoder–decoder convolutional neural network D Wang, G Chen Mathematical Geosciences 53 (6), 1355-1374, 2021 | 19 | 2021 |
| Fractal analysis of geochemical landscapes using scaling noise model G Chen, Q Cheng, R Zuo Journal of Geochemical Exploration 161, 62-71, 2016 | 17 | 2016 |
| Data-driven discovery in geosciences: Opportunities and challenges G Chen, Q Cheng, S Puetz Mathematical Geosciences 55 (3), 287-293, 2023 | 16 | 2023 |
qiuming chengChina University of GeosciencesE-mail megerősítve itt: iugs.org