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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:

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

Showing 1-25 of 44 citing articles:

Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials
Van Quan Tran
Construction and Building Materials (2022) Vol. 328, pp. 127103-127103
Closed Access | Times Cited: 88
Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 66
AI for tribology: Present and future
Nian Yin, Pufan Yang, Songkai Liu, et al.
Friction (2024) Vol. 12, Iss. 6, pp. 1060-1097
Open Access | Times Cited: 21
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
Prediction of Soil Shear Strength Parameters Using Combined Data and Different Machine Learning Models
Longtu Zhu, Qingxi Liao, Zetian Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5100-5100
Open Access | Times Cited: 26
Prediction of Soil Compaction Parameters Using Machine Learning Models
Bingyi Li, Zixuan You, Kaiwei Ni, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2716-2716
Open Access | Times Cited: 6
Prediction of Chloride Diffusion Coefficient in Concrete Modified with Supplementary Cementitious Materials Using Machine Learning Algorithms
Abdulrahman Fahad Al Fuhaid, Hani Alanazi
Materials (2023) Vol. 16, Iss. 3, pp. 1277-1277
Open Access | Times Cited: 12
Optimization Based on Computational Fluid Dynamics and Machine Learning for the Performance of Diffuser-Augmented Wind Turbines with Inlet Shrouds
Po-Wen Hwang, Jia-Heng Wu, Yuan‐Jen Chang
Sustainability (2024) Vol. 16, Iss. 9, pp. 3648-3648
Open Access | Times Cited: 4
Predictive models of swelling stress—a comparative study between BP- and GRG-ANN
Aneke Frank Ikechukwu, Kennedy C. Onyelowe, Ahmed M. Ebid, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 17
Closed Access | Times Cited: 11
Ensemble Regressors for Half Cell Potential Prediction
Yogesh Iyer Murthy, Shikha Pandey, Sumit Gandhi
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Enhanced bond strength prediction in corroded reinforced concrete using optimized ML models
Thuy‐Anh Nguyen, Son Hoang Trinh, Haï-Bang Ly
Structures (2024) Vol. 63, pp. 106461-106461
Closed Access | Times Cited: 2
Unveiling optimal half-cell potentials in RCC slabs through cutting-edge ANFIS, ANN and genetic algorithm integration
Shikha Pandey, Sumit Gandhi, Yogesh Iyer Murthy
Anti-Corrosion Methods and Materials (2024) Vol. 71, Iss. 5, pp. 491-505
Closed Access | Times Cited: 2
Backpropagation Neural Network-Based Prediction of Kovats Retention Index for Essential Oil Compounds
Aulia Al-Jihad Safhadi, Teuku Rizky Noviandy, Irvanizam Irvanizam, et al.
Infolitika Journal of Data Science (2024) Vol. 2, Iss. 1, pp. 28-33
Open Access | Times Cited: 2
Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress
Yogesh Iyer Murthy, Kunj Bihari Meena, Nileshkumar Patel
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109090-109090
Closed Access | Times Cited: 2
Thermal conduction behavior and prediction model of scrap tire rubber-sand mixtures
Tao Zhang, Yang Chen, Yu-Ling Yang, et al.
Case Studies in Thermal Engineering (2024) Vol. 64, pp. 105581-105581
Closed Access | Times Cited: 2
Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS
Van Quan Tran, Hai‐Van Thi, Thuy‐Anh Nguyen, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0260847-e0260847
Open Access | Times Cited: 14
Artificial neural network for lung cancer detection using CT images
C Shankara, S. A. Hariprasad
International Journal of Health Sciences (2022), pp. 2708-2724
Open Access | Times Cited: 7
Artificial Neural Network Backpropagation Method to Predict Tuberculosis Cases
Valencya Lestari, Herman Mawengkang, Zakarias Situmorang
SinkrOn (2023) Vol. 8, Iss. 1, pp. 35-47
Open Access | Times Cited: 4
Aerodynamic Analysis of Saab 340B Aircraft with Data Fusion Implementation
Kadir Sahin, Fazil S. Gomec, Murat Millidere, et al.
AIAA SCITECH 2022 Forum (2024)
Open Access | Times Cited: 1
A hybrid methodology for the prediction of subway train-induced building vibrations based on the ground surface response
Wenbo Tu, Lunqiang Shen, Pengfei Zhang, et al.
Transportation Geotechnics (2024) Vol. 48, pp. 101330-101330
Closed Access | Times Cited: 1
Applying Remotely Sensed Environmental Information to Model Mosquito Populations
Maria Kofidou, Michael de Courcy Williams, Andreas Nearchou, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7655-7655
Open Access | Times Cited: 8
Bayesian Regularized Backpropagation Neural Network Model to Estimate Resilient Modulus of Unbound Granular Materials for Pavement Design
Khaled Sandjak, Mouloud Ouanani, T. Messafer
Lecture notes in networks and systems (2023), pp. 457-468
Closed Access | Times Cited: 2
Crude oil price prediction using Artificial Neural Network-Backpropagation (ANN-BP) and Particle Swarm Optimization (PSO) methods
Aji Purwinarko, Fitri Amalia Langgundi
Journal of Soft Computing Exploration (2023) Vol. 4, Iss. 2, pp. 99-106
Open Access | Times Cited: 2
Ensemble learning technique to improve breast cancer classification model
Ahmad Ubai Dullah, Fitri Noor Apsari, Jumanto Jumanto
Journal of Soft Computing Exploration (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 2
Shear Strength Prediction of Treated Soft Clay with Sugarcane Bagasse Ash Using Artificial Intelligence Methods
Rufaizal Che Mamat, Azuin Ramli, Sri Atmaja P. Rosyidi
Jurnal Kejuruteraan (2023) Vol. 35, Iss. 3, pp. 597-605
Open Access | Times Cited: 1
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