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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:

Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants
Muhammad Faisal Javed, Bilal Siddiq, Kennedy C. Onyelowe, et al.
Results in Engineering (2024) Vol. 23, pp. 102637-102637
Open Access | Times Cited: 20

Showing 20 citing articles:

Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning
Turki S. Alahmari, Irfan Ullah, Furqan Farooq
Sustainable Chemistry and Pharmacy (2024) Vol. 42, pp. 101763-101763
Closed Access | Times Cited: 5
Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms
Ali Aldrees, Muhammad Faisal Javed, Majid Khan, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105937-105937
Closed Access | Times Cited: 4
Optimizing high-strength concrete compressive strength with explainable machine learning
Sanjog Chhetri Sapkota, Christina Panagiotakopoulou, Dipak Dahal, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Open Access
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Mana Alyami, Irfan Ullah, Furqan Ahmad, et al.
Case Studies in Construction Materials (2025), pp. e04357-e04357
Open Access
Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review
Mir Mohammad Ali, Md. Arif Hossen, Azrina Abd Aziz
Next Materials (2025) Vol. 8, pp. 100522-100522
Closed Access
Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis
Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Leveraging Artificial Intelligence Models (GBR, SVR, and GA) for Efficient Chromium Reduction via UV/Trichlorophenol/Sulfite Reaction
Amir H. Mohammadi, Parsa Khakzad, Tayebeh Rasolevandi, et al.
Results in Engineering (2025), pp. 104599-104599
Open Access
A Comprehensive Review of the Tunicate Swarm Algorithm: Variations, Applications, and Results
Rong Zheng, Abdelazim G. Hussien, Anas Bouaouda, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation
Adil Khan, Majid Khan, Waseem Akhtar Khan, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Enhancing the Predictive Accuracy of Marshall Design Tests Using Generative Adversarial Networks and Advanced Machine Learning Techniques
Usama Asif, Waseem Akhtar Khan, Khawaja Atif Naseem, et al.
Materials Today Communications (2025), pp. 112379-112379
Closed Access
Transformative Approaches in Photocatalytic CO2 Conversion: The Impact of AI and Computational Chemistry
Nur Umisyuhada Mohd Nor, Khaireddin Boukayouht, Samir El Hankari, et al.
Current Opinion in Green and Sustainable Chemistry (2025), pp. 101027-101027
Closed Access
Enhanced Optimisation of MPLS Network Traffic using a Novel Adjustable Bat Algorithm with Loudness Optimizer
Mohsin Masood, Mohamed Mostafa Fouad, Rashid Kamal, et al.
Results in Engineering (2025), pp. 104774-104774
Open Access
Sustainability-oriented construction materials for traditional residential buildings: from material characteristics to environmental suitability
Chengaonan Wang, Yue Zhang, Xian Guo Hu, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03820-e03820
Open Access | Times Cited: 3
Advances on hybrid modelling for bioprocesses engineering: insights into research trends and future directions from a bibliometric approach
Juan Federico Herrera-Ruiz, Javier Fontalvo, Oscar Andrés Prado-Rúbio
Results in Engineering (2024), pp. 103548-103548
Open Access | Times Cited: 3
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
Leveraging machine learning to model salinity and water flux for improved insights into forward osmosis membrane bioreactors
Ali Aldrees, Bilal Siddiq, Wael S. Al-Rashed, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106585-106585
Closed Access | Times Cited: 1
Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers
Abdul Rauf, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Novel BiOIO3/Bi12O17Cl2 heterostructure for improved photocatalytic degradation of dye pollutants under low energy visible light irradiation
Osemeikhian Ogbeifun, Shepherd M. Tichapondwa, Evans M. N. Chirwa
Results in Engineering (2024), pp. 103746-103746
Open Access | Times Cited: 1
Variable Interaction Network Analysis to Enhance Boundary Update Method for Constrained Optimization
Iman Rahimi, Navid Yazdanjue, Mohammad Sadegh Khorshidi, et al.
Results in Engineering (2024), pp. 103727-103727
Open Access
Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar
Muhammad Nasir Amin, Roz‐Ud‐Din Nassar, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access
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