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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:

Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques
Jian Liu, Fangyu Liu, Hongren Gong, et al.
Construction and Building Materials (2022) Vol. 354, pp. 129162-129162
Closed Access | Times Cited: 19

Showing 19 citing articles:

Rutting prediction using deep learning for time series modeling and K-means clustering based on RIOHTrack data
Jian Liu, Chunru Cheng, Chuanfeng Zheng, et al.
Construction and Building Materials (2023) Vol. 385, pp. 131515-131515
Closed Access | Times Cited: 17
Cement-based grouting material development and prediction of material properties using PSO-RBF machine learning
Xuewei Liu, Sai Wang, Bin Liu, et al.
Construction and Building Materials (2024) Vol. 417, pp. 135328-135328
Closed Access | Times Cited: 7
Prediction of mechanical properties of high entropy alloys based on machine learning
Tinghong Gao, Qingqing Wu, Lei Chen, et al.
Physica Scripta (2025) Vol. 100, Iss. 4, pp. 046013-046013
Closed Access
Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis
Jian Liu, Fangyu Liu, Zhen Wang, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133610-133610
Closed Access | Times Cited: 12
MPSU-Net: Quantitative interpretation algorithm for road cracks based on multiscale feature fusion and superimposed U-Net
Ban Wang, J.N. Li, Changlu Dai, et al.
Digital Signal Processing (2024) Vol. 153, pp. 104598-104598
Closed Access | Times Cited: 4
Application of machine learning techniques in the prediction of excess lifetime cancer risks of agricultural byproducts used as building and construction materials
Solomon Oyebisi, H. I. Owamah
Cleaner Waste Systems (2023) Vol. 5, pp. 100088-100088
Open Access | Times Cited: 10
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: 3
Study on fatigue damage evolution and model prediction of asphalt pavement in the end-stage of service
Yali Ye, Gen Li, Chuanyi Zhuang, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02377-e02377
Open Access | Times Cited: 8
Volumetric Properties and Stiffness Modulus of Asphalt Concrete Mixtures Made with Selected Quarry Fillers: Experimental Investigation and Machine Learning Prediction
Fabio Rondinella, Fabiola Daneluz, Pavla Vacková, et al.
Materials (2023) Vol. 16, Iss. 3, pp. 1017-1017
Open Access | Times Cited: 7
Automated, economical, and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization
Jian Liu, Fangyu Liu, Linbing Wang
Journal of Traffic and Transportation Engineering (English Edition) (2024) Vol. 11, Iss. 3, pp. 381-405
Open Access | Times Cited: 2
Predicting Rutting Development of Pavement with Flexible Overlay Using Artificial Neural Network
Chunru Cheng, Chen Ye, Hailu Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7064-7064
Open Access | Times Cited: 6
Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement
Lan Ngoc Nguyen, Thanh-Hai Le, Linh Quy Nguyen, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0287255-e0287255
Open Access | Times Cited: 5
A Bayesian decision support system for optimizing pavement management programs
Babitha Philip, Hamad Al Jassmi
Heliyon (2024) Vol. 10, Iss. 3, pp. e25625-e25625
Open Access | Times Cited: 1
A clustering-based partially stratified sampling for high-dimensional structural reliability assessment
Jinheng Song, Jun Xu
Computers & Structures (2024) Vol. 299, pp. 107390-107390
Closed Access | Times Cited: 1
Acceleration of Superpave Mix Design: Solving Multi-Objective Optimization Problems Using Machine Learning and the Non-Dominated Sorting Genetic Algorithm-II
Jian Liu, Fangyu Liu, Linbing Wang
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Research on the Fatigue Performance of Asphalt Mixtures Using Phosphogypsum Whisker as Substitute Filler
Peng Yin, Baofeng Pan, Yue Liu
Fatigue & Fracture of Engineering Materials & Structures (2024)
Closed Access
Development of petroleum-derived polymeric additive to enhance the bituminous properties with the use of a machine-learning model
Mukesh Kumar Awasthi, Vedant Josi, R. C. Upadhyay, et al.
Sustainable Chemistry for the Environment (2024), pp. 100186-100186
Open Access
Predicting Impact Strength of Natural Fiber Composites Using Optimized Gradient Boosting Approach
Aditi Mahajan, Inderdeep Singh, Navneet Arora
Lecture notes in networks and systems (2024), pp. 177-184
Closed Access
Predicting the Number of College Students Taking the Postgraduate Entrance Examination Based on Machine Learning Algorithm
Pengpeng Li
(2023), pp. 390-395
Closed Access
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