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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:

Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms
Ziguang He, Hoang Nguyen, Thai Ha Vu, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1257-1272
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Rubberized geopolymer composites: A comprehensive review
Shaker Qaidi, Ahmed Salih Mohammed, Hemn Unis Ahmed, et al.
Ceramics International (2022) Vol. 48, Iss. 17, pp. 24234-24259
Closed Access | Times Cited: 202
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 131
A hybrid intelligent model using the distribution of relaxation time analysis of electrochemical impedance spectroscopy for lithium-ion battery state of health estimation
Xiaoyu Zhao, Shiyu Liu, Eric Li, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110814-110814
Open Access | Times Cited: 17
Machine learning-based soil–structure interaction analysis of laterally loaded piles through physics-informed neural networks
Weihang Ouyang, Guanhua Li, Liang Chen, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 7, pp. 4765-4790
Closed Access | Times Cited: 17
Enhancing BOD5 Forecasting Accuracy with the ANN-Enhanced Runge Kutta Model
Rana Muhammad Adnan, Ahmed A. Ewees, Mo Wang, et al.
Journal of environmental chemical engineering (2025), pp. 115430-115430
Closed Access | Times Cited: 1
Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
Amal Hichri, Mansour Hajji, Majdi Mansouri, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10518-10518
Open Access | Times Cited: 36
Predicting clay compressibility using a novel Manta ray foraging optimization-based extreme learning machine model
Panagiotis G. Asteris, Anna Mamou, Maria Ferentinou, et al.
Transportation Geotechnics (2022) Vol. 37, pp. 100861-100861
Closed Access | Times Cited: 29
Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models
Peshkawt Yaseen Saleh, Dilshad Kakasor Ismael Jaf, Aso A. Abdalla, et al.
Structural Concrete (2023) Vol. 24, Iss. 5, pp. 6761-6777
Closed Access | Times Cited: 18
Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms
Kaffayatullah Khan, Mudassir Iqbal, Fazal E. Jalal, et al.
Construction and Building Materials (2022) Vol. 352, pp. 128862-128862
Closed Access | Times Cited: 28
Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications
Quoc Thien Huynh, Thanh Trung Nguyen, Hoang Nguyen
Acta Geotechnica (2022) Vol. 18, Iss. 5, pp. 2755-2775
Open Access | Times Cited: 27
Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability
Penghui Lin, Maozhi Wu, Zhonghua Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105234-105234
Closed Access | Times Cited: 16
Multi-objective optimization of geosynthetic-reinforced and pile-supported embankments
Xiangfeng Guo, Tuan A. Pham, Daniel Dias
Acta Geotechnica (2023) Vol. 18, Iss. 7, pp. 3783-3798
Open Access | Times Cited: 12
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 12
Evaluation of compression index of red mud by machine learning interpretability methods
Fan Yang, Jieya Zhang, Mingxing Xie, et al.
Computers and Geotechnics (2025) Vol. 181, pp. 107130-107130
Closed Access
Analyzing laterally loaded piles in multi-layered cohesive soils: a hybrid beam on nonlinear Winkler foundation approach with case studies and parametric study
Mahmoud El Gendy
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Machine learning-based prediction of shear strength in interior beam-column joints
Iman Kattoof Harith, Wissam Nadir, Mustafa S. Salah, et al.
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test
Liangtong Zhan, Qimeng Guo, Yunmin Chen, et al.
Computers and Geotechnics (2023) Vol. 155, pp. 105207-105207
Closed Access | Times Cited: 9
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks
Nguyen Van Thieu, Hoang Nguyen, Harish Garg, et al.
Software Impacts (2024) Vol. 21, pp. 100675-100675
Closed Access | Times Cited: 2
Influence of Strain Rate and Stress History on Stress–Strain-Strength and Pore Pressure Characteristics of Organic Marine Clay
Watchara Srisakul, Thanakorn Chompoorat, Tanan Chub-Uppakarn
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2
Hybrid Wavelet Scattering Network-Based Model for Failure Identification of Reinforced Concrete Members
Mohammad Sadegh Barkhordari, Mohammad Mahdi Barkhordari, Danial Jahed Armaghani, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12041-12041
Open Access | Times Cited: 10
Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms
Jiadong Qiu, J. Ohl, Trung-Tin Tran
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109827-109827
Closed Access | Times Cited: 5
A generalized formula for predicting soil compression index using multi-evolutionary algorithm
Khanh Pham, Khiem Van Nguyen, Kyuhyeong Lim, et al.
Engineering Geology (2024) Vol. 343, pp. 107789-107789
Closed Access | Times Cited: 1
A machine learning-based drag model for sand particles in transition flow aided by spherical harmonic analysis and resolved CFD-DEM
Gaoyang Hu, Bo Zhou, Wenbo Zheng, et al.
Acta Geotechnica (2024)
Closed Access | Times Cited: 1
Analyzing Laterally Loaded Piles in Multi-layered Cohesive Soils: a Hybrid Bnwf Approach With Validation and Parametric Study
Mahmoud El Gendy
Research Square (Research Square) (2024)
Open Access
A new intelligence model for evaluating clay compressibility in soft ground improvement: a combined approach of bees optimization and extreme learning machine
Liuming Zhao, Shane B. Wilson, Nguyen Van Thieu, et al.
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 579-595
Closed Access
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