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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 whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles
Hieu Nguyen, Minh-Tu Cao, Xuan-Linh Tran, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 5, pp. 3825-3852
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Ensemble Extreme Gradient Boosting based models to predict the bearing capacity of micropile group
Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran
Applied Ocean Research (2024) Vol. 151, pp. 104149-104149
Closed Access | Times Cited: 29
Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach
Tan Nguyen, Duy-Khuong Ly, Quoc Thien Huynh, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105707-105707
Closed Access | Times Cited: 26
Estimating Axial Bearing Capacity of Driven Piles Using Tuned Random Forest Frameworks
Belal Mohammadi Yaychi, Mahzad Esmaeili‐Falak
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 12
Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Advanced Machine Learning Methods for Prediction of Blast-Induced Flyrock Using Hybrid SVR Methods
Ji Zhou, Yijun Lü, Qiong Tian, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1595-1617
Open Access | Times Cited: 6
Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites
Jayanta Bhusan Deb, Jihua Gou, Haonan Song, et al.
Journal of Composites Science (2024) Vol. 8, Iss. 3, pp. 96-96
Open Access | Times Cited: 5
An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing
Jayanta Bhusan Deb, Shilpa Chowdhury, Nur Mohammad Ali
Decision Analytics Journal (2024) Vol. 12, pp. 100492-100492
Open Access | Times Cited: 5
The Role of Transition Metals on CeO2 Supported for CO2 Adsorption by DFT and Machine Learning Analysis
Hossein Mashhadimoslem, Peyman Karimi, Mohammad Ali Abdol, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 25, pp. 11018-11029
Closed Access | Times Cited: 5
Three-dimensional undrained stability analysis of circular tunnel heading in anisotropic and heterogeneous clay: FELA, ANN, MARS, and XGBoost
Nhat Tan Duong, Jim Shiau, Suraparb Keawsawasvong, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5503-5527
Closed Access | Times Cited: 5
Prediction of active length of pipes and tunnels under normal faulting with XGBoost integrating a complexity-performance balanced optimization approach
Tianjian Cheng, Chaofan Yao, Jingnan Duan, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107048-107048
Closed Access
Meta Learner-Based Optimization for Antenna Efficiency Prediction and High-Performance Thz Mimo Antenna Applications
Md Ashraful Haque, Md. Kawsar Ahmed, Kamal Hossain Nahin, et al.
(2025)
Closed Access
Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method
Ke Zhang, Zhaohui Min, Xiatong Hao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103111-103111
Closed Access
Tether Force Estimation Airborne Kite Using Machine Learning Methods
A.K. Gupta, Yashwant Kashyap, Panagiotis Kosmopoulos
Wind (2025) Vol. 5, Iss. 1, pp. 5-5
Open Access
A Multi-stage Machine Learning Model to Design a Sustainable-Resilient-Digitalized Pharmaceutical Supply Chain
Mostafa Jafarian, Iraj Mahdavi, Ali Tajdin, et al.
Socio-Economic Planning Sciences (2025), pp. 102165-102165
Closed Access
Rapid Evaluation Method to Vertical Bearing Capacity of Pile Group Foundation Based on Machine Learning
Yanmei Cao, Jing Ni, Jianguo Chen, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1214-1214
Open Access
Hybrid catboost models optimized with metaheuristics for predicting shear strength in rock joints
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach
Nhat‐Duc Hoang, Nguyen Quoc-Lam
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques
Syed Jamal Arbi, Zia Ur Rehman, Waqas Hassan, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 4
Open Access
Interpretable Machine Learning for Predicting and Optimizing Pressure Extremes in Pipeline Water Hammer Effects Based on the Method of Characteristics
Yu Zhou, Yuhang Wang, Yujia Zhang, et al.
Water Resources Management (2025)
Closed Access
Predicting the drift capacity of precast concrete columns using explainable machine learning approach
Zhen Wang, Tongxu Liu, Zilin Long, et al.
Engineering Structures (2023) Vol. 282, pp. 115771-115771
Closed Access | Times Cited: 11
Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach
Mohammad Hassan Daneshvari, Barat Mojaradi, Mahmoud Ameri, et al.
Measurement (2024) Vol. 235, pp. 114987-114987
Closed Access | Times Cited: 4
Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes
Hongwang Zhao, Sameer Alshehri
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106910-106910
Closed Access | Times Cited: 9
Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model
Abdulrhman Fahmi Alali
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104501-104501
Open Access | Times Cited: 3
Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates
Chathuranga Balasooriya Arachchilage, Guangping Huang, Jian Zhao, et al.
Cement and Concrete Composites (2024), pp. 105787-105787
Open Access | Times Cited: 3
Bearing capacity prediction of the concrete pile using tunned ANFIS system
Wei Gu, Jifei Liao, Siyuan Cheng
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 2
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