27 citations as recorded by crossref.

1. Correlation and complexity analysis of well logs via Lyapunov, Hurst, Lempel–Ziv and neural network algorithms R. Ferreira et al. https://doi.org/10.1016/j.physa.2008.11.002
2. Flood characteristic description using the singularity method L. Wang https://doi.org/10.1088/1742-6596/1978/1/012058
3. Dolomite dissolution and porosity enhancement simulation with acetic acid: Insights into the influence of temperature and ionic effects M. She et al. https://doi.org/10.1016/j.apgeochem.2023.105856
4. Compositional data analysis in the study of integrated geochemical anomalies associated with mineralization R. Zuo et al. https://doi.org/10.1016/j.apgeochem.2012.10.031
5. Multifractal distribution of geochemical elements in Dexing porphyry copper deposit, Jiangxi Province, China S. Awadelseid et al. https://doi.org/10.1016/j.gexplo.2014.11.003
6. Anisotropy of geochemical distributions characterized by irregular window-based local singularity analysis W. Wang & M. Zhu https://doi.org/10.1144/geochem2021-089
7. ArcFractal: An ArcGIS Add-In for Processing Geoscience Data Using Fractal/Multifractal Models R. Zuo & J. Wang https://doi.org/10.1007/s11053-019-09513-5
8. Singularity maps applied to a vegetation index J. Martín-Sotoca et al. https://doi.org/10.1016/j.biosystemseng.2017.08.008
9. Multifractals and geostatistics F. Agterberg https://doi.org/10.1016/j.gexplo.2012.04.001
10. 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
11. 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
12. Utilizing the radiometric and seismic methods for hydrocarbons prospecting in the Rancheria sub-basin in Colombia S. Salazar et al. https://doi.org/10.1016/j.apradiso.2018.07.023
13. Mapping local singularities using magnetic data to investigate the volcanic rocks of the Qikou depression, Dagang oilfield, eastern China G. Chen et al. https://doi.org/10.5194/npg-20-501-2013
14. Non-Linear Theory and Power-Law Models for Information Integration and Mineral Resources Quantitative Assessments Q. Cheng https://doi.org/10.1007/s11004-008-9172-6
15. 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
16. Multi-fractal characteristics of pore structure for coal during the refined upgrading degassing temperatures J. Wang et al. https://doi.org/10.1007/s13202-021-01226-x
17. 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
18. Fractal/multifractal modelling of geochemical exploration data R. Zuo et al. https://doi.org/10.1016/j.gexplo.2012.09.009
19. Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective G. Chen et al. https://doi.org/10.1111/1365-2478.12187
20. Distribution patterns of petroleum indices based on multifractal and spatial PCA L. Lei et al. https://doi.org/10.1016/j.petrol.2018.07.081
21. Geochemical multifractal distribution patterns in sediments from ordered streams S. Xie et al. https://doi.org/10.1016/j.geoderma.2010.01.009
22. Multifractal analysis of geochemical stream sediment data in Bange region, northern Tibet X. Ke et al. https://doi.org/10.1007/s12583-015-0538-7
23. Exploring hydrocarbon potential with non-invasive techniques: An airborne gamma-ray spectrometric and geochemical analysis of the Shendam Area, North-Central Nigeria N. Samaila et al. https://doi.org/10.1016/j.rines.2025.100124
24. Using Detrended Cross-Correlation Analysis in geophysical data E. Marinho et al. https://doi.org/10.1016/j.physa.2012.12.038
25. Fractal/multifractal modeling of geochemical data: A review R. Zuo & J. Wang https://doi.org/10.1016/j.gexplo.2015.04.010
26. Delineating Geochemical Anomalies Based on the Methods of Principal Component Analysis, Multifractal Model, and Singularity Model: A Case Study of Soil Geochemical Survey in the Hongyahuo Area, Qinghai Province Y. Chen et al. https://doi.org/10.3390/min15060585
27. Fractal modeling of oil and gas geochemical data in the Taiwan Strait Basin Y. Zhang et al. https://doi.org/10.1016/j.gexplo.2023.107353