Journal Publications
[1]L. Wang, B. Zhang, Z. Jiang, L. Song, X. Yu, S. Yuan.A groundwater level spatiotemporal prediction model based on graph convolutional networks with a long short-term memory[J].Journal of Hydroinformatics, 2024: 226. [2]B. Zhang, J. Tang, Y. Huan, L. Song, S. Y. A. Shah, L. Wang.Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)[J].Geomatics, Natural Hazards and Risk, 2024, 15 (1) : 2383309. [3]Zhang, B, Xu, Z, Wei, X, Song, L, Shah, SYA, Khan, U, Du, L, Li, X.Deep Subsurface Pseudo-Lithostratigraphic Modeling Based on Three-Dimensional Convolutional Neural Network (3D CNN) Using Inversed Geophysical Properties and Shallow Subsurface Geological Model[J].Lithosphere, 2024, 2024 (1) : lithosphere_2023_273. [4]王丽芳, 张宝一, 刘肖莉, 徐坤, 杜林泽, 徐章皓.数据和知识融合的 Bayesian-MCMC 三维地质建模[J].地球科学, 2024, 49 (8) : 3056-3070. [5]Baoyi Zhang, Kun Xu, Umair Khan, Xuefeng Li, Linze Du, Zhanghao Xu.A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China[J].Ore Geology Reviews, 2023 (163) : 105788. [6]Baoyi Zhang, Linze Du, Umair Khan, Yongqiang Tong, Lifang Wang, Hao Deng.AdaHRBF v1.0: Gradient-Adaptive Hermite-Birkhoff Radial Basis Function Interpolants for Three-dimensional Stratigraphic Implicit Modeling[J].Geoscientific Model Development, 2023, 16 (13) : 3651-3674. [7]ZHANG, Bao-yi, LI, Man-yi, HUAN, Yu-ke, KHAN, Umair, WANG, Li-fang, WANG, Fan-yun.Bedrock mapping based on a terrain weighted directed graph convolutional network using stream sediment geochemical samplings.Transactions of Nonferrous Metals Society of China, 2023, 33 (9) : 2799-2814. [8]Yuke Huan, Baoyi Zhang, Lei Song, Umair Khan.Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China[J].Environmental Earth Sciences, 2023, 83 (1) : 35. [9]Zhang, Bao-yi, Li, Man-yi, Li, Wei-xia, Jiang, Zheng-wen, Umair Khan, Wang, Li-fang, Wang, Fan-yun.Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China.Journal of Central South University, 2021, 28 (5) : 1422-1447. [10]Wang, L. F., Zhang, B. Y., Wu, X. B., Li, X. F., Huang, A. S., Meng, F., Dai, P. Y..Recognition of Significant Surface Soil Geochemical Anomalies Via Weighted 3D Shortest-Distance Field of Subsurface Orebodies: A Case Study in the Hongtoushan Copper Mine, NE China[J].Natural Resources Research, 2019, 28: 587-607. [11]张宝一, 陈伊如, 黄岸烁, 陆浩, 成秋明.地球化学场及其在隐伏矿体三维预测中的作用[J].岩石学报, 2018, 34: 352-62. [12]张宝一, 杨莉, 陈笑扬, 邓浩, 毛先成.基于图切地质剖面的区域成矿地质体三维建模与资源评价——以桂西南地区锰矿为例[J].吉林大学学报(地球科学版), 2017, 47 (3) : 933-948. [13]张宝一, 代鹏遥, 蒙菲, 王丽芳, 吴湘滨.基于距离场的三维矿体模型与地表化探数据的关联关系分析——以红透山铜矿田为例[J].地质论评, 2017, 63 (2) : 511-524. [14]王丽芳, 张宝一, 吴湘滨, 李小丽, 杨莉.一种可存储路径的三维非均质空间最短距离场生成算法[J].吉林大学学报. 地球科学版, 2015, 45 (4) : 1257-1268. [15]张宝一, 吴湘滨, 王丽芳, 刘文玉, 杜方.红透山铜矿外围隐伏矿体三维定量预测[J].中国有色金属学报, 2012, 22 (3) : 863-871. [16]张宝一, 毛先成, 周尚国, 胡超, 闫芳.限定作用域的矿产资源综合信息定量预测模型——以桂西—滇东南锰矿为例.地质论评, 2012, 58 (5) : 978-986. [17]张宝一, 龚平, 王丽芳.基于MAPGIS的概率性地震危险性分析[J].地球科学, 2006, 31 (5) : 709-714.
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Baoyi Zhang
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MOBILE Version
