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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:

Predicting Marshall Flow and Marshall Stability of Asphalt Pavements Using Multi Expression Programming
Hamad Hassan Awan, Arshad Hussain, Muhammad Faisal Javed, et al.
Buildings (2022) Vol. 12, Iss. 3, pp. 314-314
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Majid Khan, Roz‐Ud‐Din Nassar, Waqar Anwar, et al.
Results in Engineering (2024) Vol. 21, pp. 101837-101837
Open Access | Times Cited: 27
Modelling and prediction of binder content using latest intelligent machine learning algorithms in carbon fiber reinforced asphalt concrete
Ankita Upadhya, Mohindra Singh Thakur, Parveen Sihag, et al.
Alexandria Engineering Journal (2022) Vol. 65, pp. 131-149
Open Access | Times Cited: 34
Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study
Fadi Althoey, Muhammad Naveed Akhter, Zohaib Sattar Nagra, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01774-e01774
Open Access | Times Cited: 32
Modeling the capacity of engineered cementitious composites for self-healing using AI-based ensemble techniques
Hisham Alabduljabbar, Kaffayatullah Khan, Hamad Hassan Awan, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01805-e01805
Open Access | Times Cited: 29
Evaluation of properties of bio-composite with interpretable machine learning approaches: optimization and hyper tuning
Guiying Xu, Gengxin Zhou, Fadi Althoey, et al.
Journal of Materials Research and Technology (2023) Vol. 25, pp. 1421-1446
Open Access | Times Cited: 20
An experimental investigation on the mechanical performance of sustainable asphalt pavement incorporating waste glass powder
Kamrul Hasan, Noshin Anjum Fariha, Jummana Benta Bashar, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1444, Iss. 1, pp. 012003-012003
Open Access
Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)
Sultan Shah, Moustafa Houda, Sangeen Khan, et al.
Journal of Materials Research and Technology (2023) Vol. 25, pp. 5720-5740
Open Access | Times Cited: 15
Novel ensemble modelling for prediction of fundamental properties of bitumen incorporating plastic waste
Md Arifuzzaman, Hisham Jahangir Qureshi, Abdulrahman Fahad Al Fuhaid, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 3334-3351
Open Access | Times Cited: 14
Assessment of Marshall Stability of asphalt concrete with plastic waste using soft computing techniques
Bhupender Kumar, Navsal Kumar
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 4, pp. 733-745
Closed Access | Times Cited: 9
Forecasting the self-healing capacity of engineered cementitious composites using bagging regressor and stacking regressor
Fahid Aslam, Rayed Alyousef, Hamad Hassan Awan, et al.
Structures (2023) Vol. 54, pp. 1717-1728
Closed Access | Times Cited: 8
Machine learning models to predict mechanical performance properties of modified bituminous mixes: a comprehensive review
Samrity Jalota, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5581-5598
Closed Access | Times Cited: 2
Genetic Programming-based Algorithms Application in Modeling the Compressive Strength of Steel Fiber-Reinforced Concrete Exposed to Elevated Temperatures
Mohsin Ali, Li Chen, Qadir Bux alias Imran Latif, et al.
Composites Part C Open Access (2024), pp. 100529-100529
Open Access | Times Cited: 2
Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms
Muhammad Aniq Gul, Md. Kamrul Islam, Hamad Hassan Awan, et al.
Symmetry (2022) Vol. 14, Iss. 11, pp. 2324-2324
Open Access | Times Cited: 11
Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System
Maha M. A. Lashin, M. Ijaz Khan, Nidhal Ben Khedher, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11594-11594
Open Access | Times Cited: 9
Marshall Stability Prediction with Glass and Carbon Fiber Modified Asphalt Mix Using Machine Learning Techniques
Ankita Upadhya, Mohindra Singh Thakur, Mohammed Saleh Al Ansari, et al.
Materials (2022) Vol. 15, Iss. 24, pp. 8944-8944
Open Access | Times Cited: 9
RSM based modelling and optimization of Marshall properties of steel-slag and lime-modified asphalt mixtures
Daniel Oguntayo, Olumide Moses Ogundipe, Aluko Oluwasegun, et al.
Research on Engineering Structures and Materials (2024)
Open Access | Times Cited: 1
Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network
Samrity Jalota, Manju Suthar
International Journal of Transportation Science and Technology (2024)
Open Access | Times Cited: 1
Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers
Alyne Anak Tangga, Hussein A. L. Mufargi, Abdalrhman Milad, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 10
Closed Access | Times Cited: 1
Preparation and Application of a Novel Slow-Releasing with Core-Shell Deicer in Asphalt Mixtures
Yunxia Feng, Yuhong Luo, Junfeng Gao, et al.
Polymers (2022) Vol. 14, Iss. 13, pp. 2615-2615
Open Access | Times Cited: 7
Use of Multi-Scale Investigation to Evaluate Adhesion Performance of Warm-Mix Polymer-Modified Asphalt
Ping Li, Ziran Wang, Bo Men, et al.
Materials (2022) Vol. 16, Iss. 1, pp. 287-287
Open Access | Times Cited: 7
Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms
Ba Nhan Phung, Thanh-Hai Le, Hai‐Van Thi, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02528-e02528
Open Access | Times Cited: 4
Deep Learning Based Urban Building Coverage Ratio Estimation Focusing on Rapid Urbanization Areas
Quang Hoai Le, Hyunkyu Shin, Nahyun Kwon, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11428-11428
Open Access | Times Cited: 7
Aggregate Gradation Variation on the Properties of Asphalt Mixtures
Yanchao Yue, M. K. Abdelsalam, M. S. Eisa
Coatings (2022) Vol. 12, Iss. 11, pp. 1608-1608
Open Access | Times Cited: 6
Compressive and Tensile Fracture Failure Analysis of Asphalt Mixture Subjected to Freeze–Thaw Conditions by Acoustic Emission and CT Scanning Technologies
Wensheng Wang, Wenlei Xia, Jiaxiang Liang
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10707-10707
Open Access | Times Cited: 6
Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious composites
Y. A. Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21601-e21601
Open Access | Times Cited: 3
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