| The processing methods of geochemical exploration data: Past, present, and future R Zuo, J Wang, Y Xiong, Z Wang Applied Geochemistry 132, 105072, 2021 | 81 | 2021 |
| Uncertainties in GIS-based mineral prospectivity mapping: Key types, potential impacts and possible solutions R Zuo, OP Kreuzer, J Wang, Y Xiong, Z Zhang, Z Wang Natural Resources Research 30, 3059-3079, 2021 | 68 | 2021 |
| Effects of random negative training samples on mineral prospectivity mapping R Zuo, Z Wang Natural Resources Research 29, 3443-3455, 2020 | 67 | 2020 |
| Mapping geochemical anomalies through integrating random forest and metric learning methods Z Wang, R Zuo, Y Dong Natural Resources Research 28, 1285-1298, 2019 | 49 | 2019 |
| A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping Z Wang, Z Yin, J Caers, R Zuo Geoscience Frontiers 11 (6), 2297-2308, 2020 | 43 | 2020 |
| Mapping geochemical anomalies related to Fe–polymetallic mineralization using the maximum margin metric learning method Z Wang, Y Dong, R Zuo Ore Geology Reviews 107, 258-265, 2019 | 43 | 2019 |
| Spatial analysis of Fe deposits in Fujian Province, China: Implications for mineral exploration Z Wang, R Zuo, Z Zhang Journal of Earth Science 26, 813-820, 2015 | 34 | 2015 |
| Fusion of geochemical and remote-sensing data for lithological mapping using random forest metric learning Z Wang, R Zuo, L Jing Mathematical Geosciences 53 (6), 1125-1145, 2021 | 29 | 2021 |
| Mineral prospectivity mapping using a joint singularity-based weighting method and long short-term memory network Z Wang, R Zuo Computers & Geosciences 158, 104974, 2022 | 25 | 2022 |
| Lithological mapping based on fully convolutional network and multi-source geological data Z Wang, R Zuo, H Liu Remote Sensing 13 (23), 4860, 2021 | 21 | 2021 |
| Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine Z Wang, R Zuo, Y Dong Computers & geosciences 138, 104455, 2020 | 20 | 2020 |
| Quantification of uncertainty associated with evidence layers in mineral prospectivity mapping using direct sampling and convolutional neural network F Yang, Z Wang, R Zuo, S Sun, B Zhou Natural Resources Research 32 (1), 79-98, 2023 | 19 | 2023 |
| Geological mapping using direct sampling and a convolutional neural network based on geochemical survey data Z Wang, R Zuo, F Yang Mathematical Geosciences 55 (7), 1035-1058, 2023 | 13 | 2023 |
| Mapping of himalaya leucogranites based on ASTER and sentinel-2A datasets using a hybrid method of metric learning and random forest Z Wang, R Zuo, Y Dong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 13 | 2020 |
| A new generation of artificial intelligence algorithms for mineral prospectivity mapping R Zuo, Y Xiong, Z Wang, J Wang, OP Kreuzer Natural Resources Research 32 (5), 1859-1869, 2023 | 12 | 2023 |
| Lithological mapping using a convolutional neural network based on stream sediment geochemical survey data X Wang, R Zuo, Z Wang Natural Resources Research 31 (5), 2397-2412, 2022 | 11 | 2022 |
| Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas T Pan, R Zuo, Z Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 7 | 2023 |
| Genesis and implications of the Late Jurassic Hailesitai granites in the northern Greater Khingan Range: Evidence from zircon U–Pb dating and Hf isotope P Zhu, Q Cheng, Z Zhang, Z Wang Geological Magazine 154 (5), 963-982, 2017 | 6 | 2017 |
