55 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
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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
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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
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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. 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
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17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. Two-Scale Geomechanics of Carbonates W. Li & A. Sakhaee-Pour https://doi.org/10.1007/s00603-018-1536-8
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
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34. 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
35. 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
36. 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
37. 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
38. 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
39. Hölder Scales of Sea Level M. Li et al. https://doi.org/10.1155/2012/863707
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41. Scale invariance of shallow seismicity and the prognostic signatures of earthquakes I. Stakhovsky https://doi.org/10.3367/UFNe.2016.09.037970
42. 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
43. 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
44. Scale invariance of shallow seismicity and the prognostic signs of earthquakes I. Stakhovsky https://doi.org/10.3367/UFNr.2016.09.037970
45. Digital core reconstruction of tight carbonate rocks based on SliceGAN Y. Zhou et al. https://doi.org/10.1016/j.aiig.2025.100116
46. 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
47. 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
48. Multifractal statistic of porous structures simulated through fully penetrable sphere models J. Gonzalez https://doi.org/10.1016/j.physa.2020.125695
49. 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
50. 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
51. 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
52. 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
53. 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
54. A Mathematical Review and Improvement of the Multifractal Analysis F. Hjouj & M. Jouini https://doi.org/10.1109/ACCESS.2026.3685405
55. 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