Pouyan Fakharian

Процитировано

	Все	Начиная с 2019 г.
Статистика цитирования	1681	1599
h-индекс	16	16
i10-индекс	23	21

420

210

105

315

20162017201820192020202120222023202414 15 38 69 151 249 294 409 401

Соавторы

Hosein NaderpourSemnan UniversityПодтвержден адрес электронной почты в домене semnan.ac.ir
Danial Jahed ArmaghaniUniversity of Technology SydneyПодтвержден адрес электронной почты в домене uts.edu.au
Danial Rezazadeh EidgaheeDepartment of Civil Engineering, Memorial University of NewfoundlandПодтвержден адрес электронной почты в домене mun.ca
Amir Hossein RafieanPh.D. Student, School of CMEA, University of WollongongПодтвержден адрес электронной почты в домене uowmail.edu.au
Ali Reza GhanizadehAssociate Professor at the Sirjan University of Technology, Sirjan, IranПодтвержден адрес электронной почты в домене sirjantech.ac.ir
Mohammad HajiFaculty of Civil EngineeringПодтвержден адрес электронной почты в домене semnan.ac.ir
Hashem JahangirDepartment of Civil Engineering, University of BirjandПодтвержден адрес электронной почты в домене birjand.ac.ir
Mohammad Kazem SharbatdarProfessor, Semnan UniversityПодтвержден адрес электронной почты в домене semnan.ac.ir
Panagiotis G. AsterisProfessor, School of Pedagogical and Technological Education, Athens, GreeceПодтвержден адрес электронной почты в домене aspete.gr
Younes NouriFerdowsi University of MashhadПодтвержден адрес электронной почты в домене stu.um.ac.ir
Kohei NagaiHokkaido UniversityПодтвержден адрес электронной почты в домене eng.hokudai.ac.jp
Mahdi AkbariAssistant Professor of Civil Engineering, Semnan UniversityПодтвержден адрес электронной почты в домене semnan.ac.ir
Nader SolatifarUrmia UniversityПодтвержден адрес электронной почты в домене urmia.ac.ir
Jorge de BritoInstituto Superior Técnico, Dep. Civil Engineering, Architecture & Georresources, PortugalПодтвержден адрес электронной почты в домене civil.ist.utl.pt
Professor Pijush SamuiProfessor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere UniversityПодтвержден адрес электронной почты в домене nitp.ac.in
Mohammadali HeraviPh.D Researcher, Department of Civil and Environmental Engineering, Western University, LondonПодтвержден адрес электронной почты в домене uwo.ca
Ali KheyroddinDistinguished Professor, Structural Engineering, Semnan UniversityПодтвержден адрес электронной почты в домене semnan.ac.ir
Reza PeymanfarEnergy Institute of Higher EducationПодтвержден адрес электронной почты в домене cmps2.iust.ac.ir
Seyed Hooman GhasemiUniversity of Alameda at BirminghamПодтвержден адрес электронной почты в домене auburn.edu
Rui Carneiro BarrosProf of Civil Engineering, Structural Division, Faculdade Engenharia - Universidade do Porto (FEUPПодтвержден адрес электронной почты в домене fe.up.pt

Pouyan Fakharian

Faculty of Civil Engineering, Semnan University

Подтвержден адрес электронной почты в домене semnan.ac.ir - Главная страница

Structural Engineering Reliability Artificial Intelligence Soft Computing Civil Engineering


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Compressive strength prediction of environmentally friendly concrete using artificial neural networks H Naderpour, AH Rafiean, P Fakharian Journal of Building Engineering 16, 213-219, 2018	624	2018
Innovative Models for Prediction of Compressive Strength of FRP-Confined Circular Reinforced Concrete Columns Using Soft Computing Methods H Naderpour, K Nagai, P Fakharian, M Haji Composite Structures 215, 69-84, 2019	172	2019
A New Proposed Approach for Moment Capacity Estimation of Ferrocement Members Using Group Method of Data Handling H Naderpour, D Rezazadeh Eidgahee, P Fakharian, AH Rafiean, ... Engineering Science and Technology, an International Journal 23 (2), 382-391, 2020	122	2020
A synthesis of peak picking method and wavelet packet transform for structural modal identification H Naderpour, P Fakharian KSCE Journal of Civil Engineering 20 (7), 2859–2867, 2016	89	2016
Compressive Strength Prediction of Hollow Concrete Masonry Blocks Using Artificial Intelligence Algorithms P Fakharian, D Rezazadeh Eidgahee, M Akbari, H Jahangir, AA Taeb Structures 47, 1790-1802, 2023	74	2023
Data-Driven Estimation Models of Asphalt Mixtures Dynamic Modulus Using ANN, GP and Combinatorial GMDH Approaches D Rezazadeh Eidgahee, H Jahangir, N Solatifar, P Fakharian, ... Neural Computing and Applications 34, 17289–17314, 2022	72	2022
Developing Bearing Capacity Model for Geogrid-Reinforced Stone Columns Improved Soft Clay utilizing MARS-EBS Hybrid Method AR Ghanizadeh, A Ghanizadeh, A Panagiotis G., P Fakharian, ... Transportation Geotechnics 38, 100906, 2023	60	2023
Improving the Properties of Self-Compacted Concrete with Using Combined Silica Fume and Metakaolin MK Sharbatdar, M Abbasi, P Fakharian Periodica Polytechnica Civil Engineering 64 (2), 535-544, 2020	46	2020
Developing Predictive Models of Collapse Settlement and Coefficient of Stress Release of Sandy-Gravel Soil via Evolutionary Polynomial Regression AR Ghanizadeh, A Delaram, P Fakharian, D Jahed Armaghani Applied Sciences 12 (19), 9986, 2022	41	2022
Shear strength prediction of reinforced concrete shear wall using ANN, GMDH-NN and GEP H Naderpour, M Sharei, P Fakharian, MA Heravi Journal of Soft Computing in Civil Engineering 6 (1), 66-87, 2022	40*	2022
Rock Strength Estimation Using Several Tree-Based ML Techniques Z Liu, D Jahed Armaghani, P Fakharian, D Li, D Vladimirovich Ulrikh, ... Computer Modeling in Engineering & Sciences 133 (3), 799-824, 2022	36	2022
Mechanical properties of roller-compacted concrete pavement containing recycled brick aggregates and silica fume D Tavakoli, P Fakharian, J de Brito Road Materials and Pavement Design 23 (8), 1793-1814, 2022	36	2022
Axial compressive strength predictive models for recycled aggregate concrete filled circular steel tube columns using ANN, GEP, and MLR L Chen, P Fakharian, DR Eidgahee, M Haji, AMA Arab, Y Nouri Journal of Building Engineering 77, 107439, 2023	35*	2023
Ensemble machine learning models for prediction of flyrock due to quarry blasting MS Barkhordari, D Jahed Armaghani, P Fakharian International Journal of Environmental Science and Technology 19, 8661–8676, 2022	35	2022
Predicting the Torsional Strength of Reinforced Concrete Beams Strengthened with FRP Sheets in terms of Artificial Neural Networks H Naderpour, P Fakharian Journal of Structural and Construction Engineering 5 (1), 20-35, 2018	35	2018
A Proposed Model for Compressive Strength Prediction of FRP-Confined Rectangular Columns in terms of Genetic Expression Programming (GEP) P Fakharian, H Naderpour, A Haddad, AH Rafiean, ... Concrete Research 11 (1), 5-18, 2018	19	2018
Proposing the optimized combination of different isolation bearings subjected to near-fault ground motions SH Vaez, H Naderpour, SM Kalantari, P Fakharian 15th World Conference on Earthquake Engineering (15WCEE), September 24-28, 2012	16	2012
Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network AR Ghanizadeh, A Ziaee, SMH Khatami, P Fakharian Journal of Rehabilitation in Civil Engineering 10 (4), 146-162, 2022	15	2022
Approximate Eigenvalue of Plate by Artificial Neural Networks A Heidari, D Tavakoli, P Fakharian Journal of Modeling in Engineering 11 (35), 49-62, 2014	14	2014
Damage Severity Quantification Using Wavelet Packet Transform and Peak Picking Method P Fakharian, H Naderpour Practice Periodical on Structural Design and Construction 27 (1), 04021063, 2022	13	2022

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