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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:

Machine learning-based intelligent modeling of hydraulic conductivity of sandy soils considering a wide range of grain sizes
Zia ur Rehman, Usama Khalid, Nauman Ijaz, et al.
Engineering Geology (2022) Vol. 311, pp. 106899-106899
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Artificial intelligence-based prediction models of bio-treated sand strength for sustainable and green infrastructure applications
Muhammad Naqeeb Nawaz, Ahmed Yar Akhtar, Waqas Hassan, et al.
Transportation Geotechnics (2024) Vol. 46, pp. 101262-101262
Closed Access | Times Cited: 15
Prediction of permeability coefficient of soil using hybrid artificial neural network models
Majid M. Kharnoob, Tarak Vora, A K Dasarathy, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Design optimization and statistical modeling of recycled waste-based additive for a variety of construction scenarios on heaving ground
Zia ur Rehman, Nauman Ijaz, Weimin Ye, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 14, pp. 39783-39802
Closed Access | Times Cited: 31
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Талас Фикрет Курназ, Caner Erden, Abdullah Hulusi Kökçam, et al.
Engineering Geology (2023) Vol. 319, pp. 107109-107109
Closed Access | Times Cited: 23
Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature
Abdulaziz Alaskar, Ghasan Alfalah, Fadi Althoey, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e02199-e02199
Open Access | Times Cited: 22
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
Jitendra Khatti, Kamaldeep Singh Grover
Earth Science Informatics (2024)
Closed Access | Times Cited: 14
Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning
Sedat Sert, Eylem Arslan, Pınar Ocakbaşı, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 13651-13670
Open Access | Times Cited: 9
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Research on triaxial compressive mechanical properties and damage constructive model of post-thawing double-fractured quasi-sandstones with different angles
Mengchen Yun, Jianxi Ren, Liang Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34268-e34268
Open Access | Times Cited: 6
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 5
Development and optimization of geotechnical soil maps using various geostatistical and spatial interpolation techniques: a comprehensive study
Zain Ijaz, Cheng Zhao, Nauman Ijaz, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 13
Prediction and variable importance analysis for small-strain stiffness of soil based on ensemble learning with Bayesian optimization
Yunhan Huang, Yaning Wang, Zhongze Xu, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105688-105688
Closed Access | Times Cited: 13
Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas
Owais Bashir, Shabir Ahmed Bangroo, Shahid Shuja Shafai, et al.
Journal of Soils and Sediments (2024) Vol. 24, Iss. 6, pp. 2294-2308
Open Access | Times Cited: 4
Improving hydraulic conductivity prediction of bentonite using machine learning with generative adversarial network-based data augmentation
Xiaoqiong Shi, Pengfei Zhang, Jiaxing Feng, et al.
Construction and Building Materials (2025) Vol. 462, pp. 139962-139962
Closed Access
Predicting saturated hydraulic conductivity from particle size distributions using machine learning
Valerie de Rijk, Jelle Buma, Hans Veldkamp, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Open Access
A machine learning-based model framework for predicting uplift capacity factor of circular plate anchor in multi-layer clay
Pai Jiang, Yunhan Huang, Zhongling Zong, et al.
Ships and Offshore Structures (2025), pp. 1-16
Closed Access
Improving soil liquefaction prediction: A sophisticated ensemble classifier utilizing enhanced correlation features and a metaheuristic ant colony optimization approach
Nerusupalli Dinesh Kumar Reddy, Diksha Diksha, Ashok Kumar Gupta, et al.
Engineering Geology (2025), pp. 108036-108036
Closed 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
Statistical evaluation of multiple interpolation techniques for spatial mapping of highly variable geotechnical facets of soil in natural deposition
Zain Ijaz, Cheng Zhao, Nauman Ijaz, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 105-129
Closed Access | Times Cited: 11
Behavior of cement-stabilized marine clay and pure clay minerals exposed to high salinity grout
Hamed Bayesteh, Hamidullah Hezareh
Construction and Building Materials (2023) Vol. 383, pp. 131334-131334
Closed Access | Times Cited: 11
Trends and Challenges of Technology-Enhanced Learning in Geotechnical Engineering Education
Zia ur Rehman
Sustainability (2023) Vol. 15, Iss. 10, pp. 7972-7972
Open Access | Times Cited: 11
Landslide Susceptibility Evaluation Based on a Coupled Informative–Logistic Regression Model—Shuangbai County as an Example
Haishan Wang, Jian Xu, Shucheng Tan, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12449-12449
Open Access | Times Cited: 11
Detecting Cracks in Aerated Concrete Samples Using a Convolutional Neural Network
Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1904-1904
Open Access | Times Cited: 10
Non-uniform Corrosion Mechanism and residual life forecast of marine engineering concrete reinforcement
Pengrui Zhu, Mengmeng Liu
Journal of Engineering Research (2023) Vol. 11, Iss. 2, pp. 100053-100053
Open Access | Times Cited: 10
Artificial Intelligence and Deep Learning in Civil Engineering
Ayla Ocak, Si̇nan Meli̇h Ni̇gdeli̇, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 10
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