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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:

Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches
Navid Kardani, Annan Zhou, Shui‐Long Shen, et al.
Transportation Geotechnics (2021) Vol. 29, pp. 100591-100591
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil
Ismehen Taleb Bahmed, Jitendra Khatti, Kamaldeep Singh Grover
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 1
Closed Access | Times Cited: 30
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
Tunnel boring machine vibration-based deep learning for the ground identification of working faces
Mengbo Liu, Shaoming Liao, Yifeng Yang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1340-1357
Open Access | Times Cited: 71
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
Navid Kardani, Mohammad Aminpour, Muhammad Nouman Amjad Raja, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100827-100827
Closed Access | Times Cited: 59
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
Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 123-163
Closed Access | Times Cited: 32
Machine learning models to predict the tunnel wall convergence
Jian Zhou, Yuxin Chen, Chuanqi Li, et al.
Transportation Geotechnics (2023) Vol. 41, pp. 101022-101022
Closed Access | Times Cited: 30
A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches
Jitendra Khatti, Kamaldeep Singh Grover
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1519-1553
Closed Access | Times Cited: 22
Predicting the precipitated calcium carbonate and unconfined compressive strength of bio-mediated sands through robust hybrid optimization algorithms
Moein Khoshdel Sangdeh, Mahdi Salimi, Hossein Hakimi Khansar, et al.
Transportation Geotechnics (2024) Vol. 46, pp. 101235-101235
Closed Access | Times Cited: 12
Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming
Laiba Khawaja, Muhammad Faisal Javed, Usama Asif, et al.
Structures (2024) Vol. 66, pp. 106837-106837
Closed Access | Times Cited: 11
Hybrid XGB model for predicting unconfined compressive strength of solid waste-cement-stabilized cohesive soil
Qianglong Yao, Yiliang Tu, Jiahui Yang, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138242-138242
Closed Access | Times Cited: 9
A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates
Navid Kardani, Abidhan Bardhan, Bishwajit Roy, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 4323-4346
Closed Access | Times Cited: 49
Gradient Boosting Hybridized with Exponential Natural Evolution Strategies for Estimating the Strength of Geopolymer Self-Compacting Concrete
Samuel Alves Basilio, Leonardo Goliatt
Knowledge-Based Engineering and Sciences (2022) Vol. 3, Iss. 1, pp. 1-16
Open Access | Times Cited: 34
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
Machine learning prediction of 28-day compressive strength of CNT/cement composites with considering size effects
Jinlong Yang, Yucheng Fan, Fan Zhu, et al.
Composite Structures (2023) Vol. 308, pp. 116713-116713
Closed Access | Times Cited: 16
Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions
Abdul Rauf, Usama Asif, Muhammad Faisal Javed
BIO Web of Conferences (2025) Vol. 151, pp. 04005-04005
Open Access
Insights into the strength development in cement-treated soils: An explainable AI-based approach for optimized mix design
Muhammad Hasnain Ayub Khan, Adel Abdallah, Olivier Cuisinier
Computers and Geotechnics (2025) Vol. 180, pp. 107103-107103
Closed Access
Engineering properties of marine soft clay stabilized by alkali residue and steel slag: an experimental study and ANN model
Xuefei Wang, Zicheng Zhang, Zihao Song, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 11, pp. 5089-5112
Closed Access | Times Cited: 25
Application of Artificial Intelligence Techniques in Slope Stability Analysis
Abidhan Bardhan, Pijush Samui
International Journal of Geotechnical Earthquake Engineering (2022) Vol. 13, Iss. 1, pp. 1-23
Closed Access | Times Cited: 23
Dimensionality analysis in assessing the unconfined strength of lime-treated soil using machine learning approaches
Jitendra Khatti, Asma Muhmed, Kamaldeep Singh Grover
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
Billal Sari-Ahmed, Mohamed Ghrici, Ali Benzaamia, et al.
Studies in systems, decision and control (2024), pp. 271-288
Closed Access | Times Cited: 3
Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping
Sunil Saha, Jagabandhu Roy, Tusar Kanti Hembram, et al.
Water (2021) Vol. 13, Iss. 19, pp. 2664-2664
Open Access | Times Cited: 25
Characterization and prediction of compressive strength in ultralow-temperature frozen soil using nuclear magnetic resonance and WOA-ENN Model
Zhifeng Ren, Enliang Wang, Jiankun Liu, et al.
Transportation Geotechnics (2023) Vol. 43, pp. 101143-101143
Closed Access | Times Cited: 8
Characterizing Suction Stress and Shear Strength for Unsaturated Geomaterials under Various Confining Pressure Conditions
Byeong-Su Kim, Seong-Wan Park, Tara Nidhi Lohani, et al.
Transportation Geotechnics (2022) Vol. 34, pp. 100747-100747
Open Access | Times Cited: 13
Application of artificial neural network models for mixture design of surplus soils treated with paper sludge ash-based stabilizer
To Thi Phuong Anh, Kimitoshi Hayano, Yoshitoshi Mochizuki
Transportation Geotechnics (2024) Vol. 46, pp. 101247-101247
Open Access | Times Cited: 2
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