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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 Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
Binh Thai Pham, Chongchong Qi, Lanh Si Ho, et al.
Sustainability (2020) Vol. 12, Iss. 6, pp. 2218-2218
Open Access | Times Cited: 109

Showing 26-50 of 109 citing articles:

Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system and ensemble random forest regression techniques
Mudassir Iqbal, Kennedy C. Onyelowe, Fazal E. Jalal
Multiscale and Multidisciplinary Modeling Experiments and Design (2021) Vol. 4, Iss. 3, pp. 207-225
Closed Access | Times Cited: 42
Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, Méiganga area, Adamawa Cameroon
Bidichael Wahile Wassouo Elvis, Arsène Meying, Théophile Ndougsa Mbarga, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100997-100997
Open Access | Times Cited: 37
HyVADRF: Hybrid VADER–Random Forest and GWO for Bitcoin Tweet Sentiment Analysis
Anny Mardjo, Chidchanok Choksuchat
IEEE Access (2022) Vol. 10, pp. 101889-101897
Open Access | Times Cited: 37
A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency
Elahe Abbasi, Mohammad Reza Alavi Moghaddam, Elaheh Kowsari
Journal of Cleaner Production (2022) Vol. 379, pp. 134588-134588
Closed Access | Times Cited: 37
Estimation of rapid chloride permeability of SCC using hyperparameters optimized random forest models
Da-Ming Ge, Li-Cai Zhao, Mahzad Esmaeili‐Falak
Journal of Sustainable Cement-Based Materials (2022) Vol. 12, Iss. 5, pp. 542-560
Closed Access | Times Cited: 35
Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams
Viet‐Linh Tran, Jin-Kook Kim
Expert Systems with Applications (2023) Vol. 221, pp. 119768-119768
Closed Access | Times Cited: 21
Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP
Nasrin Eini, Sayed M. Bateni, Changhyun Jun, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 21
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: 20
Crash energy management optimization of high-speed trains by machine learning methods
Shaodong Zheng, Lin Jing, Kai Liu, et al.
International Journal of Mechanical Sciences (2024) Vol. 270, pp. 109108-109108
Closed Access | Times Cited: 8
Field scale wheat yield prediction using ensemble machine learning techniques
Sandeep Gawdiya, Dinesh Kumar, Bulbul Ahmed, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100543-100543
Open Access | Times Cited: 7
Surrogate permeability modelling of low-permeable rocks using convolutional neural networks
Jianwei Tian, Chongchong Qi, Yingfeng Sun, et al.
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 366, pp. 113103-113103
Closed Access | Times Cited: 44
Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive
Mohammed Ali Mohammed Al-Bared, Zahiraniza Mustaffa, Danial Jahed Armaghani, et al.
Transportation Geotechnics (2021) Vol. 30, pp. 100627-100627
Closed Access | Times Cited: 35
Developing random forest hybridization models for estimating the axial bearing capacity of pile
Tuan Anh Pham, Van Quan Tran
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0265747-e0265747
Open Access | Times Cited: 27
Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression
Mahmood Ahmad, Suraparb Keawsawasvong, Mohd Rasdan Ibrahim, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8781-8781
Open Access | Times Cited: 27
DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals
Bulbul Ahmed, Md. Ashraful Haque, Mir Asif Iquebal, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 15
Intelligent multi-objective optimization of 3D printing low-carbon concrete for multi-scenario requirements
Songyuan Geng, Qiling Luo, Boyuan Cheng, et al.
Journal of Cleaner Production (2024) Vol. 445, pp. 141361-141361
Closed Access | Times Cited: 6
A framework for estimating the matric suction in unsaturated soils using multiple artificial intelligence techniques
Junjie Wang, Sai K. Vanapalli
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 48, Iss. 11, pp. 2854-2879
Open Access | Times Cited: 6
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Selçuk Demir, Emrehan Kutluğ Şahin
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3273-3290
Open Access | Times Cited: 5
Coal-derived char for durability improvement of cement stabilized soil under freeze-thaw, wet-dry, and sulfate attack
Hua Yu, Priyanka Joshi, Chooikim Lau, et al.
Canadian Geotechnical Journal (2024)
Closed Access | Times Cited: 4
Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping
Saeed Alqadhi, Javed Mallick, Swapan Talukdar, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 9518-9543
Closed Access | Times Cited: 25
Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations
Manish Kumar, Ahmed Elbeltagi, Chaitanya B. Pande, et al.
Water Resources Management (2022) Vol. 36, Iss. 7, pp. 2201-2221
Closed Access | Times Cited: 18
Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm
Dinglue Wu, Qiling Luo, Wu-Jian Long, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1033-1033
Open Access | Times Cited: 4
Predicting weathering indices in soils using FTIR spectra and random forest models
Maryam Ghebleh Goydaragh, Ruhollah Taghizadeh–Mehrjardi, Ahmad Golchin, et al.
CATENA (2021) Vol. 204, pp. 105437-105437
Closed Access | Times Cited: 22
Numerical simulation of one-dimensional nonlinear Schrodinger equation using PSO with exponential B-spline
Richa Rani, Geeta Arora, Homan Emadifar, et al.
Alexandria Engineering Journal (2023) Vol. 79, pp. 644-651
Open Access | Times Cited: 9
Prediction of pile-bearing capacity using Least Square Support Vector Regression: individual and hybrid models development
Xiaochuan Yang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2701-2715
Closed Access | Times Cited: 3

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