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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 Soil Using Direct Shear Test and Support Vector Machine Model
Haï-Bang Ly, Binh Thai Pham
The Open Construction and Building Technology Journal (2020) Vol. 14, Iss. 1, pp. 41-50
Open Access | Times Cited: 23

Showing 23 citing articles:

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Quang Hung Nguyen, Haï-Bang Ly, Lanh Si Ho, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 468
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
Soft-computing techniques for prediction of soils consolidation coefficient
Manh Duc Nguyen, Binh Thai Pham, Lanh Si Ho, et al.
CATENA (2020) Vol. 195, pp. 104802-104802
Closed Access | Times Cited: 55
A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering
Sparsh Sharma, Suhaib Ahmed, Mohd Naseem, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 463-463
Open Access | Times Cited: 55
Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach
Haï-Bang Ly, Thuy‐Anh Nguyen, Binh Thai Pham
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 53
Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle
Thuy‐Anh Nguyen, Haï-Bang Ly, Binh Thai Pham
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 44
On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams
Thuy‐Anh Nguyen, Haï-Bang Ly, Hai‐Van Thi, et al.
Complexity (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 39
Aerodynamic Analyses of Airfoils Using Machine Learning as an Alternative to RANS Simulation
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5194-5194
Open Access | Times Cited: 21
Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams
Quang Hung Nguyen, Haï-Bang Ly, Tien-Thinh Le, et al.
Materials (2020) Vol. 13, Iss. 10, pp. 2210-2210
Open Access | Times Cited: 30
Prediction of Strength Properties of Soft Soil Considering Simple Soil Parameters
Md. Janibul Hoque, Md. Bayezid, Ahnaf Rafi Sharan, et al.
Open Journal of Civil Engineering (2023) Vol. 13, Iss. 03, pp. 479-496
Open Access | Times Cited: 10
Relative Assessment of Selected Machine Learning Techniques for Predicting Aerodynamic Coefficients of Airfoil
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2024)
Closed Access | Times Cited: 3
Modeling Undrained Shear Strength of Sensitive Alluvial Soft Clay Using Machine Learning Approach
Mohamed B. D. Elsawy, Mohammed F. Alsharekh, Mahmoud Shaban
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10177-10177
Open Access | Times Cited: 13
Failure diagnosis and physical interpretation of journal bearing for slurry liquid using long-term real vibration data
Goto Daiki, Tsuyoshi INOUE, Hori Takekiyo, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 1201-1216
Closed Access | Times Cited: 8
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system
Quoc Anh Tran, Lanh Si Ho, Hiep Van Le, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7835-7849
Closed Access | Times Cited: 12
Support vector machine (SVM) prediction of coefficients of curvature and uniformity of hybrid cement modified unsaturated soil with NQF inclusion
Kennedy C. Onyelowe, Chilakala B. Mahesh, Bandela Srikanth, et al.
Cleaner Engineering and Technology (2021) Vol. 5, pp. 100290-100290
Open Access | Times Cited: 12
Application of Artificial Intelligence in Geotechnical Engineering: A Review
Jitendra Khatti, Kamaldeep Singh Grover
Springer eBooks (2023), pp. 77-85
Closed Access | Times Cited: 4
Prediction of swelling pressure of expansive soil using machine learning methods
Sweta Gahlot, Rajat Mangal, Abhishek Arya, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 1
Comparative Study of Application of Artificial Neural Networks for Predicting Engineering Properties of Soil: A Review
Arun Dhawale, Shailendra P. Banne
Advances in sustainability science and technology (2021), pp. 751-763
Closed Access | Times Cited: 4
Modelling of lateral effective stress using the particle swarm optimization with machine learning models
Erdal Uncuoğlu, Levent Latifoğlu, Abdullah Tolga Özer
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 22
Closed Access | Times Cited: 4
Study of the Effect of Drying and Wetting Cycles and Water Content on the Shear Characteristics of Tailing Sands
Yakun Tian, Zhijun Zhang, Min Wang, et al.
Lithosphere (2024) Vol. 2024, Iss. 1
Open Access
The implementation of a multi-layer perceptron model using meta-heuristic algorithms for predicting undrained shear strength
Weiqing Wan, Minhao Xu
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3749-3765
Closed Access
Predictive modeling of shear strength in fly ash-stabilized clayey soils using artificial neural networks and support vector regression
Nadeem Mehraj Wani, Parwati Thagunna
Asian Journal of Civil Engineering (2024)
Closed Access
Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
Ding Xiao-ling
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 2, pp. 689-703
Closed Access
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