16 citations as recorded by crossref.

1. Local 3D segmentation of soil pore space based on fractal properties using singularity maps J. Martín-Sotoca et al. https://doi.org/10.1016/j.geoderma.2016.11.029
2. Detection of geochemical anomalies related to mineralization using the GANomaly network Z. Luo et al. https://doi.org/10.1016/j.apgeochem.2021.105043
3. Identification of REE mineralization-related geochemical anomalies using fractal/multifractal methods in the Nanling belt, South China Y. Liu et al. https://doi.org/10.1007/s12665-014-3385-4
4. A synergistic PCA and C-A fractal approach for high-precision extraction of mineral alteration anomalies from ASTER remote sensing data Y. Zhu & Z. Wu https://doi.org/10.1080/10106049.2025.2476599
5. Mineral potential mapping for tungsten polymetallic deposits in the Nanling metallogenic belt, South China Y. Liu et al. https://doi.org/10.1007/s12583-014-0466-y
6. Singularity maps applied to a vegetation index J. Martín-Sotoca et al. https://doi.org/10.1016/j.biosystemseng.2017.08.008
7. Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping (MPM) Using Fuzzy-AHP Decision-Making Method, Kodegan-Basiran Region, East Iran A. Shabani et al. https://doi.org/10.3390/min12121629
8. An integrated singularity–energy analysis to reveal mineralization-related geochemical patterns S. Esmaeiloghli & M. Yousefi https://doi.org/10.1016/j.gexplo.2025.107788
9. Gravity method for investigating the geological structures associated with W–Sn polymetallic deposits in the Nanling Range, China G. Chen et al. https://doi.org/10.1016/j.jappgeo.2015.06.001
10. Geochemical Prospectivity Mapping Through a Feature Extraction–Selection Classification Scheme H. Zekri et al. https://doi.org/10.1007/s11053-018-9422-3
11. New segmentation method based on fractal properties using singularity maps J. Martín-Sotoca et al. https://doi.org/10.1016/j.geoderma.2016.09.005
12. The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China Y. Liu et al. https://doi.org/10.1007/s11707-014-0465-4
13. Mineral Potential Mapping Using a Conjugate Gradient Logistic Regression Model N. Lin et al. https://doi.org/10.1007/s11053-019-09509-1
14. An improved solution of local window parameters setting for local singularity analysis based on Excel VBA batch processing technology D. Zhang et al. https://doi.org/10.1016/j.cageo.2015.12.012
15. Visual Interpretable Deep Learning Algorithm for Geochemical Anomaly Recognition Z. Luo et al. https://doi.org/10.1007/s11053-022-10080-5
16. Combining global and local scaling methods to detect soil pore space J. Martín-Sotoca et al. https://doi.org/10.1016/j.gexplo.2017.06.017