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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:

Prediction of shear strength of soft soil using machine learning methods
Binh Thai Pham, Lê Hoàng Sơn, Tuan-Anh Hoang, et al.
CATENA (2018) Vol. 166, pp. 181-191
Closed Access | Times Cited: 204

Showing 26-50 of 204 citing articles:

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
Binh Thai Pham, Chongchong Qi, Lanh Si Ho, et al.
Sustainability (2020) Vol. 12, Iss. 6, pp. 2218-2218
Open Access | Times Cited: 109
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 441-452
Open Access | Times Cited: 108
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models
Haï-Bang Ly, Binh Thai Pham, Lei Lü, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3437-3458
Closed Access | Times Cited: 106
Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength
Haï-Bang Ly, May Huu Nguyen, Binh Thai Pham
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 17331-17351
Closed Access | Times Cited: 105
Air pollution and its health impacts in Malaysia: a review
Raja Sher Afgun Usmani, Anum Saeed, Akibu Mahmoud Abdullahi, et al.
Air Quality Atmosphere & Health (2020) Vol. 13, Iss. 9, pp. 1093-1118
Closed Access | Times Cited: 101
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
Binh Thai Pham, Manh Duc Nguyen, T. Nguyen‐Thoi, et al.
Transportation Geotechnics (2020) Vol. 27, pp. 100508-100508
Closed Access | Times Cited: 100
A Gene Expression Programming Model for Predicting Tunnel Convergence
Mohsen Hajihassani, Shahrum Shah Abdullah, Panagiotis G. Asteris, et al.
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4650-4650
Open Access | Times Cited: 97
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
Dieu Tien Bui, Ataollah Shirzadi, Ata Amini, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 1063-1063
Open Access | Times Cited: 95
A new fusion of salp swarm with sine cosine for optimization of non-linear functions
Narinder Singh, Lê Hoàng Sơn, Francisco Chiclana, et al.
Engineering With Computers (2019) Vol. 36, Iss. 1, pp. 185-212
Open Access | Times Cited: 93
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
Haï-Bang Ly, Binh Thai Pham, Dong Van Dao, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3841-3841
Open Access | Times Cited: 90
Predicting Mechanical Properties of High-Performance Fiber-Reinforced Cementitious Composites by Integrating Micromechanics and Machine Learning
Pengwei Guo, Weina Meng, Mingfeng Xu, et al.
Materials (2021) Vol. 14, Iss. 12, pp. 3143-3143
Open Access | Times Cited: 79
Use of Machine Learning Techniques in Soil Classification
Yaren Aydın, Ümit Işıkdağ, Gebrai̇l Bekdaş, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2374-2374
Open Access | Times Cited: 43
Soil database development with the application of machine learning methods in soil properties prediction
Yangyang Li, Harianto Rahardjo, Alfrendo Satyanaga, et al.
Engineering Geology (2022) Vol. 306, pp. 106769-106769
Closed Access | Times Cited: 40
RETRACTED ARTICLE: Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement
Nzar Shakr Piro, Ahmed Salih Mohammed, Samir M. Hamad, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 18, pp. 13293-13319
Closed Access | Times Cited: 28
AI and machine learning for soil analysis: an assessment of sustainable agricultural practices
Muhammad Awais, Syed Muhammad Zaigham Abbas Naqvi, Hao Zhang, et al.
Bioresources and Bioprocessing (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 28
Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
Ahsan Rabbani, Jan Afzal Muslih, Mukul Saxena, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2382-2405
Closed Access | Times Cited: 13
Cement-based grouting material development and prediction of material properties using PSO-RBF machine learning
Xuewei Liu, Sai Wang, Bin Liu, et al.
Construction and Building Materials (2024) Vol. 417, pp. 135328-135328
Closed Access | Times Cited: 11
Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size
Yong‐Hoon Byun, Ji‐Won Son, Jungmin Yun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Prediction of Air Pollution Index in Kuala Lumpur using fuzzy time series and statistical models
Jian Wei Koo, Shin Wee Wong, Ganeshsree Selvachandran, et al.
Air Quality Atmosphere & Health (2019) Vol. 13, Iss. 1, pp. 77-88
Closed Access | Times Cited: 71
Riprap incipient motion for overtopping flows with machine learning models
Mohammad Najafzadeh, Giuseppe Oliveto
Journal of Hydroinformatics (2020) Vol. 22, Iss. 4, pp. 749-767
Open Access | Times Cited: 70
Identifying Physics‐Based Thresholds for Rainfall‐Induced Landsliding
Matthew A. Thomas, Benjamin B. Mirus, Brian D. Collins
Geophysical Research Letters (2018) Vol. 45, Iss. 18, pp. 9651-9661
Open Access | Times Cited: 66
A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam)
Dieu Tien Bui, Nhat‐Duc Hoang, Viet‐Ha Nhu
Engineering With Computers (2018) Vol. 35, Iss. 3, pp. 955-965
Closed Access | Times Cited: 64
Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model
Nhat‐Duc Hoang, Xuan-Linh Tran, Hieu Nguyen
Neural Computing and Applications (2019) Vol. 32, Iss. 11, pp. 7289-7309
Closed Access | Times Cited: 62
Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks
Harold Robinson, E. Golden Julie, Raghvendra Kumar, et al.
Peer-to-Peer Networking and Applications (2019) Vol. 12, Iss. 5, pp. 1061-1075
Closed Access | Times Cited: 58

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