58 citations as recorded by crossref.

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3. Multifractal-based assessment of Gilsocarbon graphite microstructures Y. Vertyagina & T. Marrow https://doi.org/10.1016/j.carbon.2016.08.049
4. Multi-scale fractal analysis of pores in shale rocks K. Liu & M. Ostadhassan https://doi.org/10.1016/j.jappgeo.2017.02.028
5. Multifractal Analysis of Reservoir Rock Samples Using 3D X-Ray Micro Computed Tomography Images M. Jouini et al. https://doi.org/10.1109/ACCESS.2022.3186476
6. Multifractal characteristics of shale and tight sandstone pore structures with nitrogen adsorption and nuclear magnetic resonance F. Wang et al. https://doi.org/10.1007/s12182-020-00494-2
7. The Heterogeneity Characterization of Lacustrine Shale Pores in the Daanzhai Member of the Ziliujing Formation in the Yuanba Area, Sichuan Basin H. Hu et al. https://doi.org/10.3390/min15010011
8. Quantitative Analysis of X-ray Lithographic Pores by SEM Image Processing U. Phromsuwan et al. https://doi.org/10.1007/s12647-013-0089-2
9. Permeability upscaling in complex carbonate samples using textures of micro-computed tomography images M. Jouini et al. https://doi.org/10.1080/02286203.2019.1596728
10. Micro/nanoscale pore structure and fractal characteristics of tight gas sandstone: A case study from the Yuanba area, northeast Sichuan Basin, China F. Zhu et al. https://doi.org/10.1016/j.marpetgeo.2018.08.013
11. 2D multifractal analysis and porosity scaling estimation in Lower Cretaceous carbonates S. Vega & M. Jouini https://doi.org/10.1190/geo2014-0596.1
12. Research on Microscopic Pore Structure and Fractal Characteristics of Tight Sandstone Reservoir in Ansai Area Z. Wang et al. https://doi.org/10.1088/1742-6596/3290/1/012087
13. INVESTIGATING THE RELATIONSHIP BETWEEN PORE CHARACTERISTICS, FRACTAL DIMENSION, AND PERMEABILITY OF LIMESTONE USING HIGH-PRESSURE MERCURY INTRUSION, SEM ANALYSIS, AND BP NEURAL NETWORK J. WU et al. https://doi.org/10.1142/S0218348X24500737
14. 3D multi‐fractal analysis of porous media using 3D digital images: considerations for heterogeneity evaluation S. Karimpouli & P. Tahmasebi https://doi.org/10.1111/1365-2478.12681
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17. Computation of the two‐phase flow properties of intermediate‐wet porous media: A pore network approach C. Tsakiroglou https://doi.org/10.1002/cjce.21830
18. Evaluation of the pore structure of tight sandstone reservoirs based on multifractal analysis: a case study from the Kepingtage Formation in the Shuntuoguole uplift, Tarim Basin, NW China J. Peng et al. https://doi.org/10.1088/1742-2140/aaab9d
19. A nonlinear model for fluid flow in a multiple-zone composite reservoir including the quadratic gradient term X. Wang et al. https://doi.org/10.1088/1742-2132/10/4/045009
20. Geometrical Characterization of Multiscale Pore Structures in Reservoir Rocks Using Machine Learning on Images A. Jibrin et al. https://doi.org/10.1007/s11053-025-10547-1
21. Stochastic downscaling of precipitation to high-resolution scenarios in orographically complex regions: 1. Model evaluation R. Bordoy & P. Burlando https://doi.org/10.1002/2012WR013289
22. Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples S. Karimpouli et al. https://doi.org/10.1111/1365-2478.12611
23. Upscaling Reservoir Rock Porosity by Fractal Dimension Using Three-Dimensional Micro-Computed Tomography and Two-Dimensional Scanning Electron Microscope Images M. Munawar et al. https://doi.org/10.1115/1.4047589
24. Evaluation of grouting quality of grout-enriched RCC based on multifractal and 3D modeling Y. Wang et al. https://doi.org/10.1016/j.conbuildmat.2024.137768
25. Multifractal analysis of ceramic pottery SEM images in Cucuteni-Tripolye culture E. Dănilă et al. https://doi.org/10.1016/j.ijleo.2018.03.052
26. Two-Scale Geomechanics of Carbonates W. Li & A. Sakhaee-Pour https://doi.org/10.1007/s00603-018-1536-8
27. Evolution Mechanism of Volume Parameters and Gradation Optimization Method for Asphalt Mixtures Based on Dual-Domain Fractal Theory B. Hu et al. https://doi.org/10.3390/ma19030488
28. Pore structure characteristics and influencing factors of dolomite reservoirs: a case study of the lower Ordovician Majiagou Formation, Ordos Basin, China K. Tian et al. https://doi.org/10.3389/feart.2024.1407967
29. Effect of pore structure characteristics on gas-water seepage behaviour in deep carbonate gas reservoirs J. Hu et al. https://doi.org/10.1016/j.geoen.2024.212881
30. Orthogonal microscopy image acquisition analysis technique for rock sections in polarizer angle domain Y. Zhang et al. https://doi.org/10.1016/j.jsg.2020.104174
31. Determination of nuclear magnetic resonance T2 cutoff value based on multifractal theory — An application in sandstone with complex pore structure X. Ge et al. https://doi.org/10.1190/geo2014-0140.1
32. A new method for evaluating the pore structure complexity of digital rocks based on the relative value of fractal dimension X. Li et al. https://doi.org/10.1016/j.marpetgeo.2022.105694
33. Multiscale investigation of pore structure heterogeneity in carbonate rocks using digital imaging and SCAL measurements: A case study from Upper Jurassic limestones, Abu Dhabi, UAE H. Sulieman et al. https://doi.org/10.1371/journal.pone.0295192
34. Quantifying Pore-Throat Heterogeneity in Bioclastic Limestones Using Multifractal Analysis: Insights from the Upper Cretaceous Khasib Formation T. Wu et al. https://doi.org/10.1021/acsomega.6c05877
35. Fractal characteristics of tight sandstone reservoirs: A case from the Upper Triassic Yanchang Formation, Ordos Basin, China L. Hao et al. https://doi.org/10.1016/j.petrol.2017.08.060
36. Resolution-Dependent Multifractal Characteristics of Flow in Digital Rock Twin Simulated Using the Lattice Boltzmann Method H. Tang et al. https://doi.org/10.1155/2023/6880594
37. Characterization of synthetic porous media images by using fractal and multifractal analysis P. Pavón-Domínguez & M. Díaz-Jiménez https://doi.org/10.1007/s13137-023-00237-6
38. Multiscale Fractal Characterization of Pore Structure and Reservoir Quality Based on Deep-Learning-Assisted Pore Extraction in the Majiagou Tight Dolomite Gas Reservoir, Central Ordos Basin, China X. Deng et al. https://doi.org/10.3390/fractalfract10080502
39. The Permeability of a Representative Carbonate Volume with a Large Vug A. Sakhaee-Pour & H. Tran https://doi.org/10.1007/s11242-017-0937-6
40. Fractal and Multifractal Analysis of Pore Size Distribution in Low Permeability Reservoirs Based on Mercury Intrusion Porosimetry P. Su et al. https://doi.org/10.3390/en12071337
41. Characterization of pore structure and reservoir properties of tight sandstone with CTS, SEM, and HPMI: A case study of the tight oil reservoir in fuyu oil layers of Sanzhao Sag, Songliao basin, NE China C. Mu et al. https://doi.org/10.3389/fenrg.2022.1053919
42. Hölder Scales of Sea Level M. Li et al. https://doi.org/10.1155/2012/863707
43. Attractor reconstruction from the time series of information entropy of seismic kinetics process I. Stakhovsky https://doi.org/10.1134/S1069351316040091
44. Scale invariance of shallow seismicity and the prognostic signatures of earthquakes I. Stakhovsky https://doi.org/10.3367/UFNe.2016.09.037970
45. Pore system, microstructure and porosity characterization of Gondwana shale of Eastern India using laboratory experiment and watershed image segmentation algorithm P. Sarkar et al. https://doi.org/10.1016/j.marpetgeo.2018.04.006
46. Digital characterization and fractal quantification of the pore structures of tight sandstone at multiple scales W. Lin et al. https://doi.org/10.1007/s13202-022-01502-4
47. Scale invariance of shallow seismicity and the prognostic signs of earthquakes I. Stakhovsky https://doi.org/10.3367/UFNr.2016.09.037970
48. Digital core reconstruction of tight carbonate rocks based on SliceGAN Y. Zhou et al. https://doi.org/10.1016/j.aiig.2025.100116
49. Experimental and digital investigations of heterogeneity in lower cretaceous carbonate reservoir using fractal and multifractal concepts M. Jouini et al. https://doi.org/10.1038/s41598-023-47681-w
50. MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography M. Yaqoob et al. https://doi.org/10.1109/ACCESS.2025.3552626
51. Multifractal statistic of porous structures simulated through fully penetrable sphere models J. Gonzalez https://doi.org/10.1016/j.physa.2020.125695
52. Multifractal Analysis of Pore Structure and Evaluation of Deep-Buried Cambrian Dolomite Reservoir with Image Processing: A Case from Tarim Basin, NW China X. Zhang et al. https://doi.org/10.1155/2020/7131573
53. 3D Pore-Throat Microstructure Complexity of Igneous Reservoir Rock and its Effects on the Porosity–Permeability Relation M. Qin et al. https://doi.org/10.1007/s11053-023-10196-2
54. Coupling image analysis and thermo-mechanical simulation results to produce a model of the fracture network in a nuclear glass canister M. Repina et al. https://doi.org/10.1016/j.jnucmat.2019.05.013
55. Fractal Theory and its Implication for Acquisition, Processing and Interpretation (API) of Geophysical Investigation: A Review V. Dimri & S. Ganguli https://doi.org/10.1007/s12594-019-1142-8
56. Quantitative microporosity evaluation using mercury injection and digital image analysis in tight carbonate rocks: A case study from the Ordovician in the Tazhong Palaeouplift, Tarim Basin, NW China J. He et al. https://doi.org/10.1016/j.jngse.2016.07.025
57. A Mathematical Review and Improvement of the Multifractal Analysis F. Hjouj & M. Jouini https://doi.org/10.1109/ACCESS.2026.3685405
58. A Method to Differentiate Degree of Volcanic Reservoir Fracture Development Using Conventional Well Logging Data—An Application of Kernel Principal Component Analysis (KPCA) and Multifractal Detrended Fluctuation Analysis (MFDFA) X. Ge et al. https://doi.org/10.1109/JSTARS.2014.2319392