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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:

Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
Navid Kardani, Abidhan Bardhan, Shubham Gupta, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1239-1255
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G. Asteris, Μαρία Καρόγλου, Athanasia D. Skentou, et al.
Ultrasonics (2024) Vol. 141, pp. 107347-107347
Closed Access | Times Cited: 48
Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests
Panagiotis G. Asteris, Athanasia D. Skentou, Abidhan Bardhan, et al.
Construction and Building Materials (2021) Vol. 303, pp. 124450-124450
Closed Access | Times Cited: 82
Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients
Navid Kardani, Abidhan Bardhan, Pijush Samui, et al.
International Journal of Thermal Sciences (2021) Vol. 173, pp. 107427-107427
Closed Access | Times Cited: 79
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Rebika Rai, Arunita Das, Krishna Gopal Dhal
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 889-945
Open Access | Times Cited: 47
Prediction of the Seismic Effect on Liquefaction Behavior of Fine-Grained Soils Using Artificial Intelligence-Based Hybridized Modeling
Sufyan Ghani, Sunita Kumari, Shamsad Ahmad
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 4, pp. 5411-5441
Closed Access | Times Cited: 47
Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo’ubi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 5, pp. 1588-1608
Open Access | Times Cited: 46
Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Muhammad Nouman Amjad Raja, Syed Taseer Abbas Jaffar, Abidhan Bardhan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 3, pp. 773-788
Open Access | Times Cited: 42
Application of Bio and Nature-Inspired Algorithms in Agricultural Engineering
Chrysanthos Maraveas, Panagiotis G. Asteris, Konstantinos G. Arvanitis, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1979-2012
Open Access | Times Cited: 42
A Deep Learning Method for the Prediction of the Index Mechanical Properties and Strength Parameters of Marlstone
Mohammad Azarafza, Masoud Hajialilue‐Bonab, Reza Derakhshani
Materials (2022) Vol. 15, Iss. 19, pp. 6899-6899
Open Access | Times Cited: 37
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
Milad Masroor, Mohammad Emami Niri, Mohammad Hassan Sharifinasab
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211420-211420
Closed Access | Times Cited: 33
A novel integrated approach of RUNge Kutta optimizer and ANN for estimating compressive strength of self-compacting concrete
Rahul Biswas, Manish Kumar, Raushan Kumar Singh, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e02163-e02163
Open Access | Times Cited: 22
Machine learning-based soil–structure interaction analysis of laterally loaded piles through physics-informed neural networks
Weihang Ouyang, Guanhua Li, Liang Chen, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 7, pp. 4765-4790
Closed Access | Times Cited: 14
A novel deep learning method based on 2-D CNNs and GRUs for permeability prediction of tight sandstone
Yinhong Tian, Guiwen Wang, Hongbin Li, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212851-212851
Closed Access | Times Cited: 9
Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs
Abouzar Rajabi Behesht Abad, Seyedmohammadvahid Mousavi, Nima Mohamadian, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 95, pp. 104210-104210
Closed Access | Times Cited: 47
The influence of carbonate textures and rock composition on durability cycles and geomechanical aspects of carbonate rocks
Gamil M. S. Abdullah, Ahmed Abd El Aal, Ahmed E. Radwan, et al.
Acta Geotechnica (2022) Vol. 18, Iss. 1, pp. 105-125
Closed Access | Times Cited: 30
Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques
T. Pradeep, Anasua GuhaRay, Abidhan Bardhan, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 10, pp. 12853-12871
Closed Access | Times Cited: 29
Effects of binder proportion and curing condition on the mechanical characteristics of volcanic ash- and slag-based geopolymer mortars; machine learning integrated experimental study
Mohammad-Hossein Nofalah, Pooria Ghadir, Hadi Hasanzadehshooiili, et al.
Construction and Building Materials (2023) Vol. 395, pp. 132330-132330
Open Access | Times Cited: 19
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 16
Data-driven intelligent modeling of unconfined compressive strength of heavy metal-contaminated soil
Syed Taseer Abbas Jaffar, Xiangsheng Chen, Xiaohua Bao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 6
Application of novel deep neural network on prediction of compressive strength of fly ash based concrete
Rahul Biswas, Manish Kumar, Divesh Ranjan Kumar, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-31
Closed Access | Times Cited: 5
Permeability of Tight Carbonate Rocks from Sensitivity-Driven Evolutionary Polynomial Regression
Ruan G. S. Gomes, Guilherme José Cunha Gomes, Jasper A. Vrugt, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Open Access
International Journal on "Technical and Physical Problems of Engineering" (IJTPE)
Dr.Nadia Yas
SSRN Electronic Journal (2025)
Closed Access
A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor
Abidhan Bardhan, Anasua GuhaRay, Shubham Gupta, et al.
Transportation Geotechnics (2021) Vol. 32, pp. 100678-100678
Closed Access | Times Cited: 33
Hybrid ELM and MARS-Based Prediction Model for Bearing Capacity of Shallow Foundation
Manish Kumar, Vinay Kumar, Rahul Biswas, et al.
Processes (2022) Vol. 10, Iss. 5, pp. 1013-1013
Open Access | Times Cited: 25
Experimental and intelligent modelling for predicting the amplitude of footing resting on geocell-reinforced soil bed under vibratory load
Hasthi Venkateswarlu, Muhammad Nouman Amjad Raja, A. Hegde, et al.
Transportation Geotechnics (2022) Vol. 35, pp. 100783-100783
Closed Access | Times Cited: 25
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