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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:

Novel YOLOv3 Model With Structure and Hyperparameter Optimization for Detection of Pavement Concealed Cracks in GPR Images
Zhen Liu, Xingyu Gu, Hailu Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 22258-22268
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks
Zhen Liu, Xingyu Gu, Jiaqi Chen, et al.
Automation in Construction (2022) Vol. 146, pp. 104698-104698
Closed Access | Times Cited: 124
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN
Zhen Liu, Justin K. W. Yeoh, Xingyu Gu, et al.
Automation in Construction (2022) Vol. 146, pp. 104689-104689
Closed Access | Times Cited: 121
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks
Danyu Wang, Zhen Liu, Xingyu Gu, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3892-3892
Open Access | Times Cited: 76
Air Quality Class Prediction Using Machine Learning Methods Based on Monitoring Data and Secondary Modeling
Qian Liu, Bingyan Cui, Zhen Liu
Atmosphere (2024) Vol. 15, Iss. 5, pp. 553-553
Open Access | Times Cited: 20
Three-dimensional finite element analysis for structural parameters of asphalt pavement: A combined laboratory and field accelerated testing approach
Zhen Liu, Xingyu Gu, Hua Ren, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01221-e01221
Open Access | Times Cited: 49
Mechanism and performance of graphene modified asphalt: An experimental approach combined with molecular dynamic simulations
Zhen Liu, Xingyu Gu, Xiyang Dong, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01749-e01749
Open Access | Times Cited: 46
UAV-based road crack object-detection algorithm
Xinyu He, Zhiwen Tang, Yubao Deng, et al.
Automation in Construction (2023) Vol. 154, pp. 105014-105014
Closed Access | Times Cited: 35
Laboratory evaluation of the performance of reclaimed asphalt mixed with composite crumb rubber-modified asphalt: reconciling relatively high content of RAP and virgin asphalt
Zhen Liu, Zhou Zhou, Xingyu Gu, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 34
Assessment of Pavement Structural Conditions and Remaining Life Combining Accelerated Pavement Testing and Ground-Penetrating Radar
Zhen Liu, Qifeng Yang, Xingyu Gu
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4620-4620
Open Access | Times Cited: 32
Performance evaluation of full-scale accelerated pavement using NDT and laboratory tests: A case study in Jiangsu, China
Zhen Liu, Xingyu Gu
Case Studies in Construction Materials (2023) Vol. 18, pp. e02083-e02083
Open Access | Times Cited: 29
Permanent Deformation Monitoring and Remaining Life Prediction of Asphalt Pavement Combining Full-Scale Accelerated Pavement Testing and FEM
Zhen Liu, Xingyu Gu, Hua Ren, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 28
Automatic detection and location of pavement internal distresses from ground penetrating radar images based on deep learning
Xuetang Xiong, Anxin Meng, Jie Lu, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134483-134483
Closed Access | Times Cited: 23
Research on automatic pavement crack identification Based on improved YOLOv8
Hongyu Wang, Xiao Han, Xifa Song, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3773-3783
Closed Access | Times Cited: 10
Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines
Marco Guerrieri, Giuseppe Parla, Masoud Khanmohamadi, et al.
Infrastructures (2024) Vol. 9, Iss. 2, pp. 34-34
Open Access | Times Cited: 9
Automation in road distress detection, diagnosis and treatment
Xu Yang, Jianqi Zhang, Wenbo Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 1, pp. 1-26
Open Access | Times Cited: 9
Detectability of concealed cracks in the asphalt pavement layer using air-coupled ground-penetrating radar
Siqi Wang, Zhen Leng, Xin Sui
Measurement (2023) Vol. 208, pp. 112427-112427
Closed Access | Times Cited: 20
Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends
Chenglong Liu, Yuchuan Du, Guanghua Yue, et al.
Automation in Construction (2023) Vol. 158, pp. 105185-105185
Closed Access | Times Cited: 19
Automatic extraction and 3D modeling of real road scenes using UAV imagery and deep learning semantic segmentation
Zhen Liu, Wenxiu Wu, Danyu Wang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 6
CrackYOLO: Rural Pavement Distress Detection Model with Complex Scenarios
Yuxuan Li, Shangyu Sun, Song Wei-dong, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 312-312
Open Access | Times Cited: 5
3D digital modelling and identification of pavement typical internal defects based on GPR measured data
Haoran Zhu, Guofang Wei, Dongsheng Ma, et al.
Road Materials and Pavement Design (2024), pp. 1-20
Closed Access | Times Cited: 5
Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion
Tursun Mamat, Abdukeram Dolkun, Rui He, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access
Automatic detection of road subsurface distress utilizing ground penetrating radar technology: A state-of-the-art review
Lilong Cui, Lingyu Li, Wengang Zhang, et al.
Measurement (2025), pp. 116760-116760
Closed Access
Defect imaging and identification in asphalt materials using coplanar capacitance sensors with single-pair electrodes
Bin Shi, Qiao Dong, Xueqin Chen, et al.
Construction and Building Materials (2024) Vol. 412, pp. 134853-134853
Closed Access | Times Cited: 4
YOLOv7-FIRE: A tiny-fire identification and detection method applied on UAV
Baoshan Sun, Kaiyu Bi, Qiuyan Wang
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 10775-10801
Open Access | Times Cited: 4
Pixel-Level patch detection from full-scale asphalt pavement images based on deep learning
Xuetang Xiong, Yiqiu Tan
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 12
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