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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Developing Predictive Models of Collapse Settlement and Coefficient of Stress Release of Sandy-Gravel Soil via Evolutionary Polynomial Regression
Ali Reza Ghanizadeh, Ali Delaram, Pouyan Fakharian, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9986-9986
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Developing bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Ali Reza Ghanizadeh, Afshin Ghanizadeh, Panagiotis G. Asteris, et al.
Transportation Geotechnics (2022) Vol. 38, pp. 100906-100906
Closed Access | Times Cited: 57
Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms
Pouyan Fakharian, Danial Rezazadeh Eidgahee, Mahdi Akbari, et al.
Structures (2022) Vol. 47, pp. 1790-1802
Closed Access | Times Cited: 53
Axial compressive strength predictive models for recycled aggregate concrete filled circular steel tube columns using ANN, GEP, and MLR
Lihua Chen, Pouyan Fakharian, Danial Rezazadeh Eidgahee, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107439-107439
Open Access | Times Cited: 35
Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting
Mojtaba Yari, Danial Jahed Armaghani, Chrysanthos Maraveas, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1345-1345
Open Access | Times Cited: 29
Predicting the International Roughness Index of JPCP and CRCP Rigid Pavement: A Random Forest (RF) Model Hybridized with Modified Beetle Antennae Search (MBAS) for Higher Accuracy
Ji Zhou, Mengmeng Zhou, Qiang Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1557-1582
Open Access | Times Cited: 11
Advanced Tree-Based Techniques for Predicting Unconfined Compressive Strength of Rock Material Employing Non-Destructive and Petrographic Tests
Yuzhen Wang, Mahdi Hasanipanah, Ahmad Safuan A. Rashid, et al.
Materials (2023) Vol. 16, Iss. 10, pp. 3731-3731
Open Access | Times Cited: 20
Data-Driven Prediction of Axial Compression Capacity of GFRP-Reinforced Concrete Column Using Soft Computing Methods
Younes Nouri, Ali Reza Ghanizadeh, Farzad Safi Jahanshahi, et al.
Journal of Building Engineering (2025), pp. 111831-111831
Closed Access
Utilizing heuristic strategies for predicting the backbreak occurrences in open-pit mines, Gol Gohar Mine, Iran
Parviz Sorabi, Mohammad Ataei, Mohammad Reza Alimoradi Jazi, et al.
Soft Computing (2024)
Closed Access | Times Cited: 3
Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results
Ali Reza Ghanizadeh, Ahmad Aziminejad, Panagiotis G. Asteris, et al.
Infrastructures (2023) Vol. 8, Iss. 8, pp. 125-125
Open Access | Times Cited: 10
Investigating the Soil Unconfined Compressive Strength Based on Laser-Induced Breakdown Spectroscopy Emission Intensities and Machine Learning Techniques
Y.S. Wudil, O. A. Al-Najjar, Mohammed A. Al‐Osta, et al.
ACS Omega (2023) Vol. 8, Iss. 29, pp. 26391-26404
Open Access | Times Cited: 9
A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties
Mohammad Mirzehi, Zohre Nabavi, Danial Jahed Armaghani
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5225-5241
Open Access | Times Cited: 9
A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming
Ali Reza Ghanizadeh, Amir Tavana Amlashi, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Tailings Pond Classification Based on Satellite Images and Machine Learning: An Exploration of Microsoft ML.Net
Haoxuan Yu, Izni Zahidi
Mathematics (2023) Vol. 11, Iss. 3, pp. 517-517
Open Access | Times Cited: 8
Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms
Mohammad Sadegh Barkhordari, Sobhan Ghavaminejad, Mohsen Tehranizadeh
Periodica Polytechnica Civil Engineering (2024)
Open Access | Times Cited: 2
Optimizing compressive strength prediction in eco-friendly recycled concrete via artificial intelligence models
Lihua Chen, Younes Nouri, Nazanin Allahyarsharahi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
Experimental Study on Shear Strength Parameters of Round Gravel Soils in Plateau Alluvial-Lacustrine Deposits and Its Application
Zhijun Kong, Yanhui Guo, Shilin Mao, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 3954-3954
Open Access | Times Cited: 4
Application of an expert extreme gradient boosting model to predict blast-induced air-overpressure in quarry mines
Biao He, Danial Jahed Armaghani, Sai Hin Lai, et al.
Elsevier eBooks (2024), pp. 269-289
Closed Access | Times Cited: 1
Accurate Prediction and Modeling of Overbreak Phenomenon in Tunnel Excavation Using Rock Engineering System Method
Hadi Fattahi, Hossein Ghaedi
International Journal of Geomechanics (2024) Vol. 24, Iss. 6
Closed Access | Times Cited: 1
Advancing In Creep Index of soil Prediction: A Groundbreaking Machine Learning Approach with Multivariate Adaptive Regression Splines
Mohammed E. Seno, Husein Ali Zeini, Hamza Imran, et al.
Results in Materials (2024) Vol. 24, pp. 100641-100641
Open Access | Times Cited: 1
Development of a Practical Solution to Predict Surface Settlement Induced by Twin Tunnels
Chia Yu Huat, Danial Jahed Armaghani, Huzaifa Hashim, et al.
Journal of structural design and construction practice. (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 1
Development of a prior model to predict the cracking performance of asphalt mixture in general for asphalt material selection and mix design
Runhua Zhang, Hui Chen, Hongzhen Guo, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 4
Weight minimization of truss structures using an improved Harris hawks optimization algorithm
Abbas Khajeh, Alireza Kiani, Mahmoud Seraji, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 4
Closed Access | Times Cited: 3
Potential of the hazelnut tree search–ELM hybrid approach in estimating yield and water productivity
Hossein Dehghanisanij, Somayeh Emami, Vahid Rezaverdinejad, et al.
Applied Water Science (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 2
Estimation of the axial capacity of high-strength concrete-filled steel tube columns using artificial neural network, random forest, and extreme gradient boosting approaches
Payam Sarir, Anat Ruangrassamee, Mitsuyasu Iwanami
Frontiers of Structural and Civil Engineering (2024)
Closed Access
Deep Neural Networks for the Estimation of Masonry Structures Failures under Rockfalls
Olga Mavrouli, Athanasia D. Skentou, Josep Maria Carbonell, et al.
Geosciences (2023) Vol. 13, Iss. 6, pp. 156-156
Open Access | Times Cited: 1
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