20 citations as recorded by crossref.

1. Singularity mapping and spatially weighted principal component analysis to identify geochemical anomalies associated with Ag and Pb-Zn polymetallic mineralization in Northwest Zhejiang, China F. Xiao et al. https://doi.org/10.1016/j.gexplo.2012.04.010
2. Vertical distribution of elements in regolith over mineral deposits and implications for mapping geochemical weak anomalies in covered areas Q. Cheng https://doi.org/10.1144/geochem2012-174
3. A channel sampling strategy for measurement of mineral modal and chemical composition of drill cores: application to lower oceanic crustal rocks from IODP Expedition 345 to the Hess Deep rift R. Wintsch et al. https://doi.org/10.5194/sd-31-71-2022
4. Assessment of Geochemical Anomaly Uncertainty Through Geostatistical Simulation and Singularity Analysis Y. Liu et al. https://doi.org/10.1007/s11053-018-9388-1
5. Drawing Attention to the Measurement Uncertainty Arising from Sampling in Chemical and Physicochemical Analyses: An Overview K. Medeiros et al. https://doi.org/10.1080/10408347.2022.2036943
6. Validation of a Statistical Distance-Based Methodology for Cu-Ag Stratabound Prospectivity Mapping: A Case Study from the El Olivo Mine, Central Chile M. Ojeda-Carreño et al. https://doi.org/10.3390/min16060614
7. Fractal analysis of geochemical landscapes using scaling noise model G. Chen et al. https://doi.org/10.1016/j.gexplo.2015.11.003
8. Hydrothermal mineralising systems as chemical reactors: Wavelet analysis, multifractals and correlations A. Ord et al. https://doi.org/10.1016/j.oregeorev.2016.03.026
9. Multifractals and geostatistics F. Agterberg https://doi.org/10.1016/j.gexplo.2012.04.001
10. A spatially weighted singularity mapping method applied to identify epithermal Ag and Pb-Zn polymetallic mineralization associated geochemical anomaly in Northwest Zhejiang, China F. Xiao et al. https://doi.org/10.1016/j.gexplo.2017.03.017
11. Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas Q. Cheng https://doi.org/10.1016/j.gexplo.2012.07.007
12. Detection of geochemical anomalies using a fractal-wavelet model in Ipack area, Central Iran M. Pourgholam et al. https://doi.org/10.1016/j.gexplo.2020.106675
13. Consequences of fractal grade distribution for bulk sorting of a copper porphyry deposit P. Coghill et al. https://doi.org/10.1016/j.gsf.2014.09.003
14. Fractal/multifractal modeling of geochemical data: A review R. Zuo & J. Wang https://doi.org/10.1016/j.gexplo.2015.04.010
15. Fractals and spatial statistics of point patterns F. Agterberg https://doi.org/10.1007/s12583-013-0305-6
16. Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications L. Wang et al. https://doi.org/10.5194/hess-19-4001-2015
17. A new method for geochemical anomaly separation based on the distribution patterns of singularity indices Y. Liu et al. https://doi.org/10.1016/j.cageo.2017.05.008
18. Tectonic–geochemical exploration modeling for characterizing geo-anomalies in southeastern Yunnan district, China W. Wang et al. https://doi.org/10.1016/j.gexplo.2012.06.017
19. Spatial distribution of porphyry copper deposits in Kerman Belt, Iran S. Sadigh et al. https://doi.org/10.1016/j.oregeorev.2022.105251
20. Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview Y. Liu et al. https://doi.org/10.1007/s11053-022-10075-2