Zhou, Yongzhang; Yang, Hui; Ji, Xiaohui (2026) Big Data and AI in Geoscience: From Data to Discovery—A Thematic Overview. Minerals, 16 (3). doi:10.3390/min16030229
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Big Data and AI in Geoscience: From Data to Discovery—A Thematic Overview | ||
| Journal | Minerals | ||
| Authors | Zhou, Yongzhang | Author | |
| Yang, Hui | Author | ||
| Ji, Xiaohui | Author | ||
| Year | 2026 (February 25) | Volume | 16 |
| Issue | 3 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/min16030229Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 19706000 | Long-form Identifier | mindat:1:5:19706000:3 |
| GUID | 0 | ||
| Full Reference | Zhou, Yongzhang; Yang, Hui; Ji, Xiaohui (2026) Big Data and AI in Geoscience: From Data to Discovery—A Thematic Overview. Minerals, 16 (3). doi:10.3390/min16030229 | ||
| Plain Text | Zhou, Yongzhang; Yang, Hui; Ji, Xiaohui (2026) Big Data and AI in Geoscience: From Data to Discovery—A Thematic Overview. Minerals, 16 (3). doi:10.3390/min16030229 | ||
| In | (2026, March) Minerals Vol. 16 (3). MDPI AG | ||
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
| Zhou, Y., Zhang, L., Zhang, A., and Wang, J. (2018). Big Data Mining and Machine Learning in Earth Sciences, Sun Yat-sen University Press. | |
| Zhou (2024) Earth Sci. Front. Overview: A glimpse of the latest advances in artificial intelligence and big data geoscience research 31, 1 | |
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![]() | Wu, Yanbin, Sun, Li, Qu, Zhiguang, Yu, Wenming, Zhang, Peng, Jing, Guoqing, Shen, Pengliang, Tian, Shujuan, Wang, Qicai, Liu, Hua, et al. (2025) Utilizing Multifractal and Compositional Data Analysis Combined with Random Forest for Mineral Prediction in Goulmima, Morocco. Minerals, 15 (3). doi:10.3390/min15030222 |
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| Dell’Aversana, P. (2025). A Biological-Inspired Deep Learning Framework for Big Data Mining and Automatic Classification in Geosciences. Minerals, 15. | |
| Goldstein, D., Aldrich, C., Shao, Q., and O’Connor, L. (2025). Unlocking Subsurface Geology: A Case Study with Measure-While-Drilling Data and Machine Learning. Minerals, 15. | |
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