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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:

A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls
Ebrahim Noroozi Ghaleini, Mohammadreza Koopialipoor, Mohammadreza Momenzadeh, et al.
Engineering With Computers (2018) Vol. 35, Iss. 2, pp. 647-658
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Application of several optimization techniques for estimating TBM advance rate in granitic rocks
Danial Jahed Armaghani, Mohammadreza Koopialipoor, Aminaton Marto, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2019) Vol. 11, Iss. 4, pp. 779-789
Open Access | Times Cited: 200
Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns
Payam Sarir, Jun Chen, Panagiotis G. Asteris, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 1-19
Closed Access | Times Cited: 198
Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
Mohammadreza Koopialipoor, Ahmad Fahimifar, Ebrahim Noroozi Ghaleini, et al.
Engineering With Computers (2019) Vol. 36, Iss. 1, pp. 345-357
Closed Access | Times Cited: 151
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm
Jiandong Huang, Yuantian Sun, Junfei Zhang
Engineering With Computers (2021) Vol. 38, Iss. 4, pp. 3151-3168
Closed Access | Times Cited: 126
Predicting tunnel boring machine performance through a new model based on the group method of data handling
Mohammadreza Koopialipoor, Sayed Sepehr Nikouei, Aminaton Marto, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 5, pp. 3799-3813
Closed Access | Times Cited: 142
Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
Hongquan Guo, Jian Zhou, Mohammadreza Koopialipoor, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 173-186
Closed Access | Times Cited: 141
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
Maryam Safa, Puteri Azura Sari, Mahdi Shariati, et al.
Physica A Statistical Mechanics and its Applications (2020) Vol. 550, pp. 124046-124046
Closed Access | Times Cited: 137
Application of deep neural networks in predicting the penetration rate of tunnel boring machines
Mohammadreza Koopialipoor, Hossein Tootoonchi, Danial Jahed Armaghani, et al.
Bulletin of Engineering Geology and the Environment (2019) Vol. 78, Iss. 8, pp. 6347-6360
Closed Access | Times Cited: 135
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
Hui Chen, Panagiotis G. Asteris, Danial Jahed Armaghani, et al.
Applied Sciences (2019) Vol. 9, Iss. 6, pp. 1042-1042
Open Access | Times Cited: 131
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods
Jianwei Tian, Chongchong Qi, Yingfeng Sun, et al.
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3455-3471
Closed Access | Times Cited: 119
35 Years of (AI) in Geotechnical Engineering: State of the Art
Ahmed M. Ebid
Geotechnical and Geological Engineering (2020) Vol. 39, Iss. 2, pp. 637-690
Closed Access | Times Cited: 116
A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network
Jian Zhou, Nasim Aghili, Ebrahim Noroozi Ghaleini, et al.
Engineering With Computers (2019) Vol. 36, Iss. 2, pp. 713-723
Closed Access | Times Cited: 111
Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength
Lei Huang, Panagiotis G. Asteris, Mohammadreza Koopialipoor, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5372-5372
Open Access | Times Cited: 102
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
Binh Thai Pham, Manh Duc Nguyen, T. Nguyen‐Thoi, et al.
Transportation Geotechnics (2020) Vol. 27, pp. 100508-100508
Closed Access | Times Cited: 100
Hybridization of metaheuristic algorithms with adaptive neuro-fuzzy inference system to predict load-slip behavior of angle shear connectors at elevated temperatures
Mahdi Shariati, Seyed Mehdi Davoodnabi, Ali Toghroli, et al.
Composite Structures (2021) Vol. 278, pp. 114524-114524
Closed Access | Times Cited: 97
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
Jian Zhou, Mohammadreza Koopialipoor, Enming Li, et al.
Bulletin of Engineering Geology and the Environment (2020) Vol. 79, Iss. 8, pp. 4265-4279
Closed Access | Times Cited: 90
Multi-objective heat transfer search algorithm for truss optimization
Ghanshyam G. Tejani, Sumit Kumar, Amir H. Gandomi
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 641-662
Closed Access | Times Cited: 88
Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm
Jian Zhou, Hongquan Guo, Mohammadreza Koopialipoor, et al.
Engineering With Computers (2020)
Closed Access | Times Cited: 88
A new methodology for optimization and prediction of rate of penetration during drilling operations
Yanru Zhao, Amin Noorbakhsh, Mohammadreza Koopialipoor, et al.
Engineering With Computers (2019) Vol. 36, Iss. 2, pp. 587-595
Closed Access | Times Cited: 81
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
Lei Sun, Mohammadreza Koopialipoor, Danial Jahed Armaghani, et al.
Engineering With Computers (2019) Vol. 37, Iss. 2, pp. 1133-1145
Closed Access | Times Cited: 79
Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM
Chuanqi Li, Jian Zhou, Ming Tao, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100819-100819
Closed Access | Times Cited: 61
Predicting load capacity of shear walls using SVR–RSM model
Behrooz Keshtegar, Moncef L. Nehdi, T. Nguyen‐Thoi, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107739-107739
Closed Access | Times Cited: 60
Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting
Chuanqi Li, Jian Zhou, Manoj Khandelwal, et al.
Natural Resources Research (2022) Vol. 31, Iss. 5, pp. 3017-3039
Open Access | Times Cited: 49
Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions
José García, Gabriel Villavicencio, Francisco Altimiras, et al.
Automation in Construction (2022) Vol. 142, pp. 104532-104532
Closed Access | Times Cited: 44
Overbreak prediction and optimization in tunnel using neural network and bee colony techniques
Mohammadreza Koopialipoor, Ebrahim Noroozi Ghaleini, Mojtaba Haghighi, et al.
Engineering With Computers (2018) Vol. 35, Iss. 4, pp. 1191-1202
Closed Access | Times Cited: 80
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