| Graph deep learning model for mapping mineral prospectivity R Zuo, Y Xu Mathematical Geosciences 55 (1), 1-21, 2023 | 57 | 2023 |
| An interpretable graph attention network for mineral prospectivity mapping Y Xu, R Zuo Mathematical Geosciences 56 (2), 169-190, 2024 | 16 | 2024 |
| A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration R Zuo, Y Xu Computers & Geosciences 182, 105490, 2024 | 14 | 2024 |
| The graph attention network and its post-hoc explanation for recognizing mineralization-related geochemical anomalies Y Xu, R Zuo, G Zhang Applied Geochemistry 155, 105722, 2023 | 14 | 2023 |
| Geochemical survey data cube: A useful tool for lithological classification and geochemical anomaly identification Y Xu, R Zuo Geochemistry 84 (2), 125959, 2024 | 11 | 2024 |
| Explainable artificial intelligence models for mineral prospectivity mapping R Zuo, Q Cheng, Y Xu, F Yang, Y Xiong, Z Wang, OP Kreuzer Science China Earth Sciences 67 (9), 2864-2875, 2024 | 3 | 2024 |
| ArcMPM: An ArcEngine-Based Software for Mineral Prospectivity Mapping via Artificial Intelligence Algorithms R Zuo, L Shi, F Yang, Y Xu, Y Xiong Natural Resources Research 33 (1), 1-21, 2024 | 3 | 2024 |
| A Heterogeneous Graph Construction Method for Mineral Prospectivity Mapping L Shi, Y Xu, R Zuo Natural Resources Research, 1-12, 2024 | | 2024 |
