Pouyan Fakharian

Pouyan Fakharian

Semnan University

H-index: 16

Asia-Iran

About Pouyan Fakharian

Pouyan Fakharian, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Semnan University, specializes in the field of Structural Engineering, Structural Reliability, Artificial Neural Network, Soft Computing, Civil Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Flexural Capacity Prediction of RC Beams Strengthened in Terms of NSM System Using Soft Computing

Compressive Strength Prediction of Hollow Concrete Masonry Blocks Using Artificial Intelligence Algorithms

Developing Bearing Capacity Model for Geogrid-Reinforced Stone Columns Improved Soft Clay utilizing MARS-EBS Hybrid Method

Axial compressive strength predictive models for recycled aggregate concrete filled circular steel tube columns using ANN, GEP, and MLR

Introduction to the Special Issue on Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications

Experimental Study on Mechanical Properties and Durability of Polymer Silica Fume Concrete with Vinyl Ester Resin

New Models for Determining Concrete Elastic Modulus Considering Variation in Values of Compressive Strength

Mechanical properties of roller-compacted concrete pavement containing recycled brick aggregates and silica fume

Pouyan Fakharian Information

University

Position

Faculty of Civil Engineering

Citations(all)

1271

Citations(since 2020)

1203

Cited By

376

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Semnan University

Google Scholar

View Google Scholar Profile

Pouyan Fakharian Skills & Research Interests

Structural Engineering

Structural Reliability

Artificial Neural Network

Soft Computing

Civil Engineering

Top articles of Pouyan Fakharian

Title

Journal

Author(s)

Publication Date

Flexural Capacity Prediction of RC Beams Strengthened in Terms of NSM System Using Soft Computing

Journal of Soft Computing in Civil Engineering

Amin Raeisi

Mohammad Kazem Sharbatdar

Hosein Naderpour

Pouyan Fakharian

2024

Compressive Strength Prediction of Hollow Concrete Masonry Blocks Using Artificial Intelligence Algorithms

Structures

Pouyan Fakharian

Danial Rezazadeh Eidgahee

Mahdi Akbari

Hashem Jahangir

Amir Ali Taeb

2023

Developing Bearing Capacity Model for Geogrid-Reinforced Stone Columns Improved Soft Clay utilizing MARS-EBS Hybrid Method

Transportation Geotechnics

Ali Reza Ghanizadeh

Afshin Ghanizadeh

Panagiotis G Asteris

Pouyan Fakharian

Danial Jahed Armaghani

2023/1/1

Axial compressive strength predictive models for recycled aggregate concrete filled circular steel tube columns using ANN, GEP, and MLR

Journal of Building Engineering

Lihua Chen

Pouyan Fakharian

Danial Rezazadeh Eidgahee

Mohammad Haji

Alireza Mohammad Alizadeh Arab

...

2023/10

Introduction to the Special Issue on Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications

IJCoL. Italian Journal of Computational Linguistics

Francesco Cutugno

Hendrik Buschmeier

2021/12/1

Experimental Study on Mechanical Properties and Durability of Polymer Silica Fume Concrete with Vinyl Ester Resin

Materials

Hosein Zanjirani Farahani

Atiye Farahani

Pouyan Fakharian

Danial Jahed Armaghani

2023/1/12

New Models for Determining Concrete Elastic Modulus Considering Variation in Values of Compressive Strength

Civil Infrastructure Researches

Sima Aramesh

Pouyan Fakharian

2022/9

Mechanical properties of roller-compacted concrete pavement containing recycled brick aggregates and silica fume

Construction and building materials

Saeid Hesami

Amir Modarres

Mostafa Soltaninejad

Hesam Madani

2016/5/15

Ensemble machine learning models for prediction of flyrock due to quarry blasting

International Journal of Environmental Science and Technology

MS Barkhordari

D Jahed Armaghani

P Fakharian

2022/9

A study on environmental issues of blasting using advanced support vector machine algorithms

International Journal of Environmental Science and Technology

L Chen

DJ Armaghani

P Fakharian

RM Bhatawdekar

P Samui

...

2022/7

Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Journal of Rehabilitation in Civil Engineering

Ali Reza Ghanizadeh

Arash Ziaee

Seyed Mohammad Hossein Khatami

Pouyan Fakharian

2022/11/1

Damage Severity Quantification Using Wavelet Packet Transform and Peak Picking Method

Practice Periodical on Structural Design and Construction

Pouyan Fakharian

Hosein Naderpour

2022/2/1

Developing Predictive Models of Collapse Settlement and Coefficient of Stress Release of Sandy-Gravel Soil via Evolutionary Polynomial Regression

Applied Sciences

Ali Reza Ghanizadeh

Ali Delaram

Pouyan Fakharian

Danial Jahed Armaghani

2022/10/4

Rock Strength Estimation Using Several Tree-Based ML Techniques

CMES-Computer Modeling in Engineering & Sciences

Zida Liu

Danial Jahed Armaghani

Pouyan Fakharian

Diyuan Li

Dmitrii Vladimirovich Ulrikh

...

2022/12/1

Data-Driven Estimation Models of Asphalt Mixtures Dynamic Modulus Using ANN, GP and Combinatorial GMDH Approaches

Neural Computing and Applications

Danial Rezazadeh Eidgahee

Hashem Jahangir

Nader Solatifar

Pouyan Fakharian

Mansoureh Rezaeemanesh

2022

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

Journal of Soft Computing in Civil Engineering

Hosein Naderpour

Mohammadreza Sharei

Pouyan Fakharian

Mohammad Ali Heravi

2022/1/1

Shear Capacity Prediction of FRP Reinforced Concrete Beams Using Hybrid GMDH–GA

Journal of Structural and Construction Engineering

Masoud Ahmadi

Hosein Naderpour

Pouyan Fakharian

Danial Rezazadeh Eidgahee

2021/8/23

Improving the Properties of Self-Compacted Concrete with Using Combined Silica Fume and Metakaolin

Periodica Polytechnica Civil Engineering

Mohammad Kazem Sharbatdar

Mohammad Abbasi

Pouyan Fakharian

2020/4/14

A New Proposed Approach for Moment Capacity Estimation of Ferrocement Members Using Group Method of Data Handling

Engineering Science and Technology, an International Journal

Hosein Naderpour

Danial Rezazadeh Eidgahee

Pouyan Fakharian

Amir Hossein Rafiean

Seyed Meisam Kalantari

2019/5/30

See List of Professors in Pouyan Fakharian University(Semnan University)

Co-Authors

H-index: 35
Ali Kheyroddin

Ali Kheyroddin

Semnan University

H-index: 34
Hosein Naderpour

Hosein Naderpour

Semnan University

H-index: 31
Reza Peymanfar

Reza Peymanfar

Iran University of Science and Technology

H-index: 22
Abdolhosein Haddad

Abdolhosein Haddad

Semnan University

H-index: 19
Hashem Jahangir

Hashem Jahangir

Ferdowsi University of Mashhad

H-index: 19
Mohammad Kazem Sharbatdar

Mohammad Kazem Sharbatdar

Semnan University

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