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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:

On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils
Duong Kien Trong, Binh Thai Pham, Fazal E. Jalal, et al.
Materials (2021) Vol. 14, Iss. 21, pp. 6516-6516
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Effective use of recycled waste PET in cementitious grouts for developing sustainable semi-flexible pavement surfacing using artificial neural network (ANN)
Muhammad Imran Khan, Muslich Hartadi Sutanto, Kaffayatullah Khan, et al.
Journal of Cleaner Production (2022) Vol. 340, pp. 130840-130840
Closed Access | Times Cited: 62
Performance Evaluation of Plastic Concrete Modified with E-Waste Plastic as a Partial Replacement of Coarse Aggregate
Farhan Ahmad, Arshad Jamal, Khwaja Mateen Mazher, et al.
Materials (2021) Vol. 15, Iss. 1, pp. 175-175
Open Access | Times Cited: 59
CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM-RNN, and ANN Approaches
Jitendra Khatti, Kamaldeep Singh Grover
International Journal of Pavement Research and Technology (2023) Vol. 17, Iss. 3, pp. 750-786
Closed Access | Times Cited: 35
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
A super-learner machine learning model for a global prediction of compression index in clays
E.F. González Díaz, Giovanni Spagnoli
Applied Clay Science (2024) Vol. 249, pp. 107239-107239
Open Access | Times Cited: 10
Machine learning approach for predicting and evaluating California bearing ratio of stabilized soil containing industrial waste
Lanh Si Ho, Van Quan Tran
Journal of Cleaner Production (2022) Vol. 370, pp. 133587-133587
Closed Access | Times Cited: 37
Ensemble Tree-Based Approach towards Flexural Strength Prediction of FRP Reinforced Concrete Beams
Muhammad Nasir Amin, Mudassir Iqbal, Kaffayatullah Khan, et al.
Polymers (2022) Vol. 14, Iss. 7, pp. 1303-1303
Open Access | Times Cited: 31
Use of Machine Learning to Predict California Bearing Ratio of Soils
Semachew Molla Kassa, Betelhem Zewdu Wubineh
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 21
A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor
Abidhan Bardhan, Abdel Kareem Alzo’ubi, P. Sangeetha, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
Gaurav Verma, Brind Kumar, Chintoo Kumar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 13901-13927
Open Access | Times Cited: 16
The application of deep neural networks for the prediction of California Bearing Ratio of road subgrade soil
Kareem Othman, Hassan T. Abdelwahab
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 7, pp. 101988-101988
Open Access | Times Cited: 22
Forecasting climate risk and heat stress hazards in arid ecosystems: Machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia
Adel S. Aldosary, Baqer Al-Ramadan, Abdulla ‐ Al Kafy, et al.
Natural Hazards (2025)
Closed Access
Effect of Chitosan and Casein on the CBR behavior of silty clay for low volume roads: Reliability-based design optimization approach
Romana Mariyam Rasheed, Arif Ali Baig Moghal, B. Munwar Basha, et al.
Construction and Building Materials (2025) Vol. 473, pp. 141014-141014
Closed Access
Mechanical and Durability Evaluation of Metakaolin as Cement Replacement Material in Concrete
Mohammed Najeeb Al-Hashem, Muhammad Nasir Amin, Ali Ajwad, et al.
Materials (2022) Vol. 15, Iss. 22, pp. 7868-7868
Open Access | Times Cited: 13
Prediction of CBR by Deep Artificial Neural Networks with Hyperparameter Optimization by Simulated Annealing
Crespin Prudence Yabi, Sètondji Wadoscky Agongbe, Bio Chéïssou Koto Tamou, et al.
Indian geotechnical journal (2024) Vol. 54, Iss. 6, pp. 2318-2334
Open Access | Times Cited: 2
Development of multiclass alternating decision trees based models for landslide susceptibility mapping
Binh Thai Pham, Abolfazl Jaafari, Dam Duc Nguyen, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 128, pp. 103235-103235
Closed Access | Times Cited: 11
Modelling soil compaction parameters using a hybrid soft computing technique of LSSVM and symbiotic organisms search
Lal Babu Tiwari, Avijit Burman, Pijush Samui
Innovative Infrastructure Solutions (2022) Vol. 8, Iss. 1
Closed Access | Times Cited: 11
Influence of hydrological state on trophic state in dam induced seasonally inundated flood plain wetland
Pankaj Singha, Swades Pal
Ecohydrology & Hydrobiology (2023) Vol. 23, Iss. 2, pp. 316-334
Closed Access | Times Cited: 6
Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model
Muhammad Nasir Amin, Mudassir Iqbal, Fadi Althoey, et al.
Polymers (2022) Vol. 14, Iss. 15, pp. 2992-2992
Open Access | Times Cited: 9
Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils
Rodrigo Polo-Mendoza, J. Duque, David Maš́ın
Case Studies in Construction Materials (2023) Vol. 20, pp. e02800-e02800
Open Access | Times Cited: 5
Experimental Investigation of the Stress–Strain Behavior and Strength Characterization of Rubberized Reinforced Concrete
Hanif Ullah, Mudassir Iqbal, Kaffayatullah Khan, et al.
Materials (2022) Vol. 15, Iss. 3, pp. 730-730
Open Access | Times Cited: 6
A novel heuristic and tunicate centered ANFIS and RCCRD optimization for soil nailing using a numerical approach
Archita Goyal, Amit Kumar Shrivastava
Soil Dynamics and Earthquake Engineering (2023) Vol. 176, pp. 108289-108289
Closed Access | Times Cited: 3
Resistance to Fatigue in Asphalts Used in Military Airports of the Brazilian Amazon through the Use of Nickel-Holding Ash
Carlos Navarrete, Antônio Carlos Rodrigues Guimarães, Maria Esther Soares Marques, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9134-9134
Open Access | Times Cited: 5
A new method for CBR prediction using fuzzy set theory
Gökhan Çuvalcıoğlu, Murat Vergi Taciroğlu, Arif Bal
Construction and Building Materials (2024) Vol. 447, pp. 138046-138046
Closed Access
Application of hybrid modeling to predict California bearing ratio of soil
Huong Thi Thanh Ngo, Quynh- Anh Thi Bui, Vi Nguyen Van, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2024)
Open Access
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