48 citations as recorded by crossref.

1. 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
2. Singularity analysis of ore-mineral and toxic trace elements in stream sediments Q. Cheng & F. Agterberg https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.oregeorev.2014.09.032
5. Anisotropy of geochemical distributions characterized by irregular window-based local singularity analysis W. Wang & M. Zhu https://doi.org/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 https://doi.org/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. https://doi.org/10.1144/geochem2023-067
8. Hexagonal CNN and its applications in sphalerite banding texture simulation D. Xu et al. https://doi.org/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 https://doi.org/10.1016/j.gexplo.2012.07.007
10. Matched filtering method for separating magnetic anomaly using fractal model G. Chen et al. https://doi.org/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. https://doi.org/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. https://doi.org/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 https://doi.org/10.1144/geochem2014-286
14. A Spatially Aware Evidential Deep Learning Framework for Mineral Prospectivity Mapping and Uncertainty Evaluation Y. Liu https://doi.org/10.1007/s11004-025-10266-6
15. A novel filtering technique for enhancing mineralization associated geochemical and geophysical anomalies J. Yang et al. https://doi.org/10.1016/j.cageo.2015.03.011
16. 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
17. Application of modified wavelet and fractal modeling for detection of geochemical anomaly H. Torshizian et al. https://doi.org/10.1016/j.chemer.2021.125800
18. 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
19. Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions Q. Cheng https://doi.org/10.5194/npg-21-477-2014
20. Anisotropic singularity: A novel way to characterize controlling effects of geological processes on mineralization W. Wang et al. https://doi.org/10.1016/j.gexplo.2017.07.019
21. Combination of Kriging methods and multi-fractal analysis for estimating spatial distribution of geotechnical parameters C. Wang & H. Zhu https://doi.org/10.1007/s10064-015-0742-9
22. Fusion and integrated interpretation of multisource geoscience datasets for mineral exploration M. Ma et al. https://doi.org/10.1016/j.jappgeo.2024.105445
23. 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. https://doi.org/10.1007/s11053-019-09565-7
24. A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China J. Tang et al. https://doi.org/10.3390/min13070988
25. 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
26. 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. https://doi.org/10.5194/npg-22-579-2015
27. Multivariate Statistical Analysis and S-A Multifractal Modeling of Lithogeochemical Data for Mineral Exploration: A Case Study from the Buerhantu Area, Hadamengou Gold Orefield, Inner Mongolia, China S. Fan et al. https://doi.org/10.3390/geosciences15120473
28. 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. https://doi.org/10.1007/s11771-013-1475-1
29. Joint Modeling Based on Singularity Mapping and U-statistical Methods for Geo-Anomaly Characterization W. Wang et al. https://doi.org/10.1007/s11053-021-09987-2
30. 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. https://doi.org/10.5194/npg-19-283-2012
31. Application and effects of singularity analysis in evaluating the denudation degree of Carlin-type gold deposits in southwest Guizhou, China D. Luo & G. Zeng https://doi.org/10.1016/j.oregeorev.2018.04.018
32. 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. https://doi.org/10.1016/j.chemer.2013.08.001
33. 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. https://doi.org/10.1016/j.oregeorev.2021.104561
34. Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal S. Esmaeiloghli et al. https://doi.org/10.1007/s11053-021-09933-2
35. Geochemical Anomalies Identified by Multifractal Modeling: Implications for Mineral Exploration in the Ziyoutun Cu‐Au District, Jilin Province, China H. MA et al. https://doi.org/10.1111/1755-6724.15185
36. A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization F. Xiao et al. https://doi.org/10.1016/j.oregeorev.2025.106572
37. Fractal density modeling of crustal heterogeneity from the KTB deep hole G. Chen & Q. Cheng https://doi.org/10.1002/2016JB013684
38. Fractal/multifractal analysis in support of mineral exploration in the Duolong mineral district, Tibet, China W. Wang et al. https://doi.org/10.1144/geochem2016-449
39. An expanded de Wijs model for multifractal analysis of mineral production data A. Ford & T. Blenkinsop https://doi.org/10.1007/s00126-008-0213-3
40. Modeling Local Scaling Properties for Multiscale Mapping Q. Cheng https://doi.org/10.2136/vzj2007.0034
41. Multifractal approach for delineating uranium anomalies related to phosphatic deposits in Area-3, Northern Palmyrides, Syria J. Asfahani https://doi.org/10.1016/j.apradiso.2018.03.012
42. 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
43. Application of fractal-wavelet analysis for separation of geochemical anomalies P. Afzal et al. https://doi.org/10.1016/j.jafrearsci.2016.08.017
44. Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China W. Wang et al. https://doi.org/10.1016/j.oregeorev.2017.09.024
45. 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. https://doi.org/10.1016/j.gexplo.2017.07.008
46. 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
47. Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction Q. Cheng & P. Zhao https://doi.org/10.1016/j.gsf.2010.12.003
48. Fractal-Based Wavelet Filter for Separating Geophysical or Geochemical Anomalies from Background G. Chen & Q. Cheng https://doi.org/10.1007/s11004-017-9707-9