45 citations as recorded by crossref.

1. Detection of geochemical anomalies using a fractal-wavelet model in Ipack area, Central Iran M. Pourgholam et al. 10.1016/j.gexplo.2020.106675
2. Singularity analysis of ore-mineral and toxic trace elements in stream sediments Q. Cheng & F. Agterberg 10.1016/j.cageo.2008.02.034
3. Application of the multifractal singular value decomposition for delineating geophysical anomalies associated with molybdenum occurrences in the Luanchuan ore field (China) G. Wang et al. 10.1016/j.jappgeo.2012.07.013
4. GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China W. Wang et al. 10.1016/j.oregeorev.2014.09.032
5. Anisotropy of geochemical distributions characterized by irregular window-based local singularity analysis W. Wang & M. Zhu 10.1144/geochem2021-089
6. Comparing BEMD and BEEMD for identifying geochemical anomalies associated with Cu polymetallic mineralization in the southwestern Fujian province (China) G. Xu & Q. Cheng 10.1016/j.chemer.2022.125905
7. Mapping exploration targets through multifractal modelling of soil geochemical data in the Xiaohongshilazi Pb–Zn–(Ag) ore district, Jilin Province, NE China H. Ma et al. 10.1144/geochem2023-067
8. Hexagonal CNN and its applications in sphalerite banding texture simulation D. Xu et al. 10.1016/j.cageo.2009.09.019
9. Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas Q. Cheng 10.1016/j.gexplo.2012.07.007
10. Matched filtering method for separating magnetic anomaly using fractal model G. Chen et al. 10.1016/j.cageo.2016.02.015
11. Application of singularity index mapping technique to gravity/magnetic data analysis in southeastern Yunnan mineral district, China W. Wang et al. 10.1016/j.jappgeo.2013.02.012
12. Local 3D segmentation of soil pore space based on fractal properties using singularity maps J. Martín-Sotoca et al. 10.1016/j.geoderma.2016.11.029
13. Application of a multi-fractal model for identification of Cu, Au and Zn anomalies in Western Yunnan, Southwestern China J. Huang & P. Zhao 10.1144/geochem2014-286
14. A novel filtering technique for enhancing mineralization associated geochemical and geophysical anomalies J. Yang et al. 10.1016/j.cageo.2015.03.011
15. Application of modified wavelet and fractal modeling for detection of geochemical anomaly H. Torshizian et al. 10.1016/j.chemer.2021.125800
16. Non-Linear Theory and Power-Law Models for Information Integration and Mineral Resources Quantitative Assessments Q. Cheng 10.1007/s11004-008-9172-6
17. Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions Q. Cheng 10.5194/npg-21-477-2014
18. Anisotropic singularity: A novel way to characterize controlling effects of geological processes on mineralization W. Wang et al. 10.1016/j.gexplo.2017.07.019
19. Combination of Kriging methods and multi-fractal analysis for estimating spatial distribution of geotechnical parameters C. Wang & H. Zhu 10.1007/s10064-015-0742-9
20. Fusion and integrated interpretation of multisource geoscience datasets for mineral exploration M. Ma et al. 10.1016/j.jappgeo.2024.105445
21. Geochemical Anomaly and Mineral Prospectivity Mapping for Vein-Type Copper Mineralization, Kuhsiah-e-Urmak Area, Iran: Application of Sequential Gaussian Simulation and Multivariate Regression Analysis A. Karbalaei Ramezanali et al. 10.1007/s11053-019-09565-7
22. A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China J. Tang et al. 10.3390/min13070988
23. New segmentation method based on fractal properties using singularity maps J. Martín-Sotoca et al. 10.1016/j.geoderma.2016.09.005
24. Identification of magnetic anomalies based on ground magnetic data analysis using multifractal modelling: a case study in Qoja-Kandi, East Azerbaijan Province, Iran E. Mansouri et al. 10.5194/npg-22-579-2015
25. Mineralization-related geochemical anomalies derived from stream sediment geochemical data using multifractal analysis in Pangxidong area of Qinzhou-Hangzhou tectonic joint belt, Guangdong Province, China Y. Zhang et al. 10.1007/s11771-013-1475-1
26. Joint Modeling Based on Singularity Mapping and U-statistical Methods for Geo-Anomaly Characterization W. Wang et al. 10.1007/s11053-021-09987-2
27. Identification of uranium targets based on airborne radiometric data analysis by using multifractal modeling, Tark and Avanligh 1:50 000 sheets, NW Iran P. Afzal et al. 10.5194/npg-19-283-2012
28. Application and effects of singularity analysis in evaluating the denudation degree of Carlin-type gold deposits in southwest Guizhou, China D. Luo & G. Zeng 10.1016/j.oregeorev.2018.04.018
29. Application of spectrum–area fractal model to identify of geochemical anomalies based on soil data in Kahang porphyry-type Cu deposit, Iran P. Afzal et al. 10.1016/j.chemer.2013.08.001
30. Detection of mineralization stages using zonality and multifractal modeling based on geological and geochemical data in the Au-(Cu) intrusion-related Gouzal-Bolagh deposit, NW Iran S. Heidari et al. 10.1016/j.oregeorev.2021.104561
31. Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal S. Esmaeiloghli et al. 10.1007/s11053-021-09933-2
32. Geochemical Anomalies Identified by Multifractal Modeling: Implications for Mineral Exploration in the Ziyoutun Cu‐Au District, Jilin Province, China H. MA et al. 10.1111/1755-6724.15185
33. A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization F. Xiao et al. 10.1016/j.oregeorev.2025.106572
34. Fractal density modeling of crustal heterogeneity from the KTB deep hole G. Chen & Q. Cheng 10.1002/2016JB013684
35. Fractal/multifractal analysis in support of mineral exploration in the Duolong mineral district, Tibet, China W. Wang et al. 10.1144/geochem2016-449
36. An expanded de Wijs model for multifractal analysis of mineral production data A. Ford & T. Blenkinsop 10.1007/s00126-008-0213-3
37. Modeling Local Scaling Properties for Multiscale Mapping Q. Cheng 10.2136/vzj2007.0034
38. Multifractal approach for delineating uranium anomalies related to phosphatic deposits in Area-3, Northern Palmyrides, Syria J. Asfahani 10.1016/j.apradiso.2018.03.012
39. Identification of REE mineralization-related geochemical anomalies using fractal/multifractal methods in the Nanling belt, South China Y. Liu et al. 10.1007/s12665-014-3385-4
40. Application of fractal-wavelet analysis for separation of geochemical anomalies P. Afzal et al. 10.1016/j.jafrearsci.2016.08.017
41. Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China W. Wang et al. 10.1016/j.oregeorev.2017.09.024
42. Using multifractal modelling, singularity mapping, and geochemical indexes for targeting buried mineralization: Application to the W-Sn Panasqueira ore-system, Portugal M. Gonçalves et al. 10.1016/j.gexplo.2017.07.008
43. 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. 10.1016/j.jappgeo.2015.09.022
44. Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction Q. Cheng & P. Zhao 10.1016/j.gsf.2010.12.003
45. Fractal-Based Wavelet Filter for Separating Geophysical or Geochemical Anomalies from Background G. Chen & Q. Cheng 10.1007/s11004-017-9707-9