Estimating uniaxial compressive strength of rocks using genetic expression programming

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Cite
Ozbek, Ahmet, et al. “Estimating Uniaxial Compressive Strength of Rocks Using Genetic Expression Programming”. Journal of Rock Mechanics and Geotechnical Engineering, vol. 5, no. 4, 2013, pp. 325-9, https://doi.org/10.1016/j.jrmge.2013.05.006.
Ozbek, A., Unsal, M., & Dikec, A. (2013). Estimating uniaxial compressive strength of rocks using genetic expression programming. Journal of Rock Mechanics and Geotechnical Engineering, 5(4), 325-329. https://doi.org/10.1016/j.jrmge.2013.05.006
Ozbek, Ahmet, Mehmet Unsal, and Aydin Dikec. “Estimating Uniaxial Compressive Strength of Rocks Using Genetic Expression Programming”. Journal of Rock Mechanics and Geotechnical Engineering 5, no. 4 (2013): 325-29. https://doi.org/10.1016/j.jrmge.2013.05.006.
Ozbek A, Unsal M, Dikec A. Estimating uniaxial compressive strength of rocks using genetic expression programming. Journal of Rock Mechanics and Geotechnical Engineering. 2013;5(4):325-9.
Journal Categories
Science
Geology
Science
Geology
Mineralogy
Science
Geology
Petrology
Technology
Engineering (General)
Civil engineering (General)
Engineering geology
Rock mechanics
Soil mechanics
Underground construction
Refrences
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  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Science (General)
  • Technology: Engineering (General). Civil engineering (General)
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The effect of flow patterns and energy dissipation over stepped chutes on aeration efficiency KSCE Journal of Civil Engineering
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GEP modeling of oxygen transfer efficiency prediction in aeration cascades KSCE Journal of Civil Engineering
  • Technology: Engineering (General). Civil engineering (General)
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A new formulation for longitudinally stiffened webs subjected to patch loading using stepwise regression method Advances in Engineering Software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
20 2010
Modeling of the angle of shearing resistance of soils using soft computing systems Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
73 2009
Citations
Title Journal Journal Categories Citations Publication Date
Stability Assessment of Open Spans in Underground Entry-Type Excavations by Focusing on Data Mining Methods Mining, Metallurgy & Exploration
  • Technology: Mining engineering. Metallurgy
  • Technology: Mining engineering. Metallurgy
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Science: Geology
2024
Prediction of the Uniaxial Compressive Strength of Rocks by Soft Computing Approaches Geotechnical and Geological Engineering
  • Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction
3 2023
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Numerical Investigations on Stability of 3D Soil Slopes with Different Boundary Conditions Indian Geotechnical Journal
  • Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction
2023
A stacked generalisation methodology for estimating the uniaxial compressive strength of rocks

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Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)23
Science: Geology16
Technology: Mechanical engineering and machinery14
Science: Mathematics: Instruments and machines: Electronic computers. Computer science12
Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction11
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics10
Science: Chemistry8
Geography. Anthropology. Recreation: Environmental sciences6
Technology: Environmental technology. Sanitary engineering6
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials5
Science: Biology (General): Ecology5
Technology: Mining engineering. Metallurgy5
Science: Geology: Petrology5
Science: Geology: Mineralogy5
Technology: Technology (General): Industrial engineering. Management engineering3
Science: Science (General)3
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware3
Technology: Chemical technology: Chemical engineering2
Science: Biology (General)2
Science: Physics2
Science: Chemistry: General. Including alchemy2
Technology: Chemical technology2
Technology: Building construction: Architectural engineering. Structural engineering of buildings2
Technology: Engineering (General). Civil engineering (General): Environmental engineering2
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade2
Technology: Mechanical engineering and machinery: Renewable energy sources1
Science: Mathematics: Instruments and machines1
Science: Physics: Geophysics. Cosmic physics1
Science: Physics: Heat: Thermodynamics1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Science: Mathematics1
Science1
Technology1
The category Technology: Engineering (General). Civil engineering (General) 23 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Gene expression programming strategy for estimation performance of LiBr–H2O absorption cooling system and was published in 2014. The most recent citation comes from a 2024 study titled Stability Assessment of Open Spans in Underground Entry-Type Excavations by Focusing on Data Mining Methods. This article reached its peak citation in 2022, with 13 citations. It has been cited in 42 different journals, 21% of which are open access. Among related journals, the Neural Computing and Applications cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year