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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:

Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials
Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Prediction of the Splitting Tensile Strength of Manufactured Sand Based High-Performance Concrete Using Explainable Machine Learning
Rakesh Kumar, Pijush Samui, Baboo Rai
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 5, pp. 3717-3734
Closed Access | Times Cited: 13
A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129207-129207
Closed Access | Times Cited: 33
Predicting Mechanical Properties of Concrete Structures Using Metaheuristic-Optimization-Based Machine Learning Models
Ngoc‐Mai Nguyen
Applied Soft Computing (2025), pp. 112893-112893
Closed Access
Three-Dimensional Discrete Element Modeling for the Angle of Repose of Granular Materials: Artificial Intelligence and Machine Learning Approach
Yassir Mubarak Hussein Mustafa, Hamzah M. B. Al-Hashemi, Omar S. Baghabra Al‐Amoudi, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations
Mahmood Ahmad, Mohammad Al-Zubi, Hamad Almujibah, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier
Anand Prakash, Jaisingh Thangaraj, Sharbani Roy, et al.
IEEE photonics journal (2023) Vol. 15, Iss. 4, pp. 1-10
Open Access | Times Cited: 13
Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study
Chuanqi Li, Jiamin Zhang, Xiancheng Mei, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101229-101229
Closed Access | Times Cited: 2
Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste
Hossein Moradi Moghaddam, Mohsen Keramati, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-Based Models
Feezan Ahmad, Xiaowei Tang, Jilei Hu, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 455-487
Open Access | Times Cited: 5
InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California
Divya Sekhar Vaka, Vishnuvardhan Reddy Yaragunda, Skevi Perdikou, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3574-3574
Open Access | Times Cited: 1
Harnessing the XGBoost Ensemble for Intelligent Prediction and Identification of Factors with a High Impact on Air Quality: A Case Study of Urban Areas in Jakarta Province, Indonesia
Wahyu Catur Wibowo, Harun Al Azies, Susi A. Wilujeng, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 319-334
Closed Access
Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation
Mahmood Ahmad, Muhammad Danish, Beenish Jehan Khan, et al.
Research Square (Research Square) (2024)
Open Access
Stress-fractional modelling of dilatancy behavior under monotonic loading based on a new yield surface of coarse-grained soil
Erlu Wu, Wanli Guo, Na Li, et al.
International Journal of Plasticity (2024), pp. 104236-104236
Closed Access
The performance comparison of the decision tree models on the prediction of seismic gravelly soil liquefaction potential based on dynamic penetration test
Mahmood Ahmad, Badr T. Alsulami, A. Hakamy, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 1
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