10 citations as recorded by crossref.

1. Application of singular value decomposition (SVD) in extraction of gravity components indicating the deeply and shallowly buried granitic complex associated with tin polymetallic mineralization in the Gejiu tin ore field, Southwestern China Y. Chen et al. https://doi.org/10.1016/j.jappgeo.2015.09.022
2. Enhancement and Mapping of Weak Multivariate Stream Sediment Geochemical Anomalies in Ahar Area, NW Iran M. Parsa et al. https://doi.org/10.1007/s11053-017-9346-3
3. Identifying potential Au-Pb-Ag mineralization in SE Shuangkoushan, North Qaidam, Western China: Combined log-ratio approach and singularity mapping X. Chen et al. https://doi.org/10.1016/j.gexplo.2017.04.001
4. Mineral prospectivity modelling using singularity mapping and multifractal analysis of stream sediment geochemical data from the auriferous Hutti-Maski schist belt, S. India S. Behera & M. Panigrahi https://doi.org/10.1016/j.oregeorev.2021.104029
5. Identification of weak anomalies: A multifractal perspective R. Zuo et al. https://doi.org/10.1016/j.gexplo.2014.05.005
6. 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
7. Singularity analysis based on wavelet transform of fractal measures for identifying geochemical anomaly in mineral exploration G. Chen & Q. Cheng https://doi.org/10.1016/j.cageo.2015.11.007
8. Reprint of “Identification of weak anomalies: A multifractal perspective” R. Zuo et al. https://doi.org/10.1016/j.gexplo.2015.04.004
9. Using robust staged R-mode factor analysis and logistic function to identify probable Cu-mineralization zones in Khusf 1:100,000 sheets, east of Iran M. Keykha Hoseinpoor & A. Aryafar https://doi.org/10.1007/s12517-015-2266-9
10. Identifying geochemical anomaly through spatially anisotropic singularity mapping: A case study from silver-gold deposit in Pangxidong district, SE China F. Xiao et al. https://doi.org/10.1016/j.gexplo.2019.106453