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:

Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
Ritha Nyirandayisabye, Huixia Li, Qiming Dong, et al.
Results in Engineering (2022) Vol. 16, pp. 100657-100657
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Predicting municipal solid waste gasification using machine learning: A step toward sustainable regional planning
Yadong Yang, Hossein Shahbeik, Alireza Shafizadeh, et al.
Energy (2023) Vol. 278, pp. 127881-127881
Closed Access | Times Cited: 40

Compressive strength prediction models for concrete containing nano materials and exposed to elevated temperatures
Hany A. Dahish, Ahmed D. Almutairi
Results in Engineering (2025), pp. 103975-103975
Open Access | Times Cited: 2

Automatic pavement crack segmentation using a generative adversarial network (GAN)-based convolutional neural network
Zhihao Pan, Stephen Lau, Xu Yang, et al.
Results in Engineering (2023) Vol. 19, pp. 101267-101267
Open Access | Times Cited: 26

Advancing structural integrity prediction with optimized neural network and vibration analysis
Abdelwahhab Khatir, Roberto Capozucca, Erica Magagnini, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 10

Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment.
François Nkinahamira, Anqi Feng, Lijie Zhang, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117980-117980
Closed Access | Times Cited: 8

Deep learning-based intelligent detection of pavement distress
Lele Zheng, Jingjing Xiao, Yinghui Wang, et al.
Automation in Construction (2024) Vol. 168, pp. 105772-105772
Closed Access | Times Cited: 7

Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights
T. Vamsi Nagaraju, Govindasamy Bala, Sridevi Bonthu, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167386-167386
Closed Access | Times Cited: 14

Optimizing soil settlement/consolidation prediction in finland clays: machine learning regressions with bayesian hyperparameter selection
Ahmad Alkhdour, Mahmoud Al Khazaleh, Rakan Al Mnaseer, et al.
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3209-3225
Closed Access | Times Cited: 13

A scalable adaptive sampling approach for surrogate modeling of rigid pavements using machine learning
Haoran Li, Sushobhan Sen, Lev Khazanovich
Results in Engineering (2024) Vol. 23, pp. 102483-102483
Open Access | Times Cited: 4

Pavement damage detection and evaluation based on UAV image and improved AHP
Danfeng Zuo, Lei Shao, Bohan Chen, et al.
Case Studies in Construction Materials (2025), pp. e04169-e04169
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

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3

Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates
Ayla Ocak, Gebrai̇l Bekdaş, Ümit Işıkdağ, et al.
Journal of Building Engineering (2024), pp. 110737-110737
Closed Access | Times Cited: 3

A 3D reconstruction-based method using unmanned aerial vehicles for the representation and analysis of road sections
Brahim Benmhahe, Jihane Alami Chentoufi, Mohamed Amine Basmassi
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1552-1552
Open Access | Times Cited: 2

Enhancing local road pavement condition prediction using Bayesian-optimized ensemble machine learning and adaptive synthetic sampling technique
Nehal Elshaboury, Mohamed S. Yamany, Samuel Labi, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 2

Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning
Sheng Zhang, Zhenghao Bei, Tonghua Ling, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Designing Climate Change (CC)-Resilient Asphalt Pavement Structures: A Comprehensive Literature Review on Adaptation Measures and Advanced Soil Constitutive Models
J. Duque, Gilberto Martínez-Arguelles, Yelenka Nuñez, et al.
Results in Engineering (2024) Vol. 24, pp. 103648-103648
Open Access | Times Cited: 2

Efficient machine learning model to predict fineness, in a vertical raw meal of Morocco cement plant
Fahd Belmajdoub, Souad Abderafi
Results in Engineering (2022) Vol. 17, pp. 100833-100833
Open Access | Times Cited: 12

Estimating vehicle braking distance over wet and rutted pavement surface through back-propagation neural network
Jiaqi Jiang, Misagh Ketabdari, Maurizio Crispino, et al.
Results in Engineering (2023) Vol. 21, pp. 101686-101686
Open Access | Times Cited: 6

Automated Pavement Distress Detection Based on Convolutional Neural Network
Jinhe Zhang, Shangyu Sun, Weidong Song, et al.
IEEE Access (2024) Vol. 12, pp. 105055-105068
Open Access | Times Cited: 1

Driver impairment detection using decision tree based feature selection and classification
Mert Çetinkaya, Tankut Acarman
Results in Engineering (2023) Vol. 18, pp. 101025-101025
Open Access | Times Cited: 4

Regression based Machine Learning approach to predict Flight Price between Bangalore and Kolkata
A. Poojitha Reddy, Anirban Tarafdar, Uttam Kumar Bera
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023), pp. 1-6
Closed Access | Times Cited: 4

Stochasticity of the respiratory mechanics during mechanical ventilation treatment
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, et al.
Results in Engineering (2023) Vol. 19, pp. 101257-101257
Open Access | Times Cited: 4

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