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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:

Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
Sandra Matarneh, Faris Elghaish, Farzad Pour Rahimian, et al.
Automation in Construction (2024) Vol. 160, pp. 105297-105297
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Comparison performance of the CNN-based deep learning models for the distinguishing ultrasound pretreated and microwave dried jujube fruits
Banu Ulu, Seda Günaydın, Necati Çetin
Measurement (2025), pp. 117047-117047
Closed Access | Times Cited: 2
Preparation and performance evaluation of waterborne epoxy resin modified emulsified asphalt binder
Fan Yang, Qian Zhou, Liming Yang, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03548-e03548
Open Access | Times Cited: 5
Crack semantic segmentation performance of various attention modules in different scenarios
Junwen Zheng, Lingkun Chen, Nan Chen, et al.
Structural Concrete (2025)
Closed Access
Modified MobileNetV2 transfer learning model to detect road potholes
Neha Tanwar, Anil V. Turukmane
PeerJ Computer Science (2025) Vol. 11, pp. e2519-e2519
Open Access
Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm
Juntao Chen, Mingjin Fan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
DSWMamba: A deep feature fusion mamba network for detection of asphalt pavement distress
Pore-Feng Sun, Lina Yang, Haoyan Yang, et al.
Construction and Building Materials (2025) Vol. 469, pp. 140393-140393
Closed Access
Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model
Zixuan Zhang, Y G He, Di Hu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep learning for automated detection and classification of crack severity level in concrete structures
Tianzi Shi, Huan Luo
Construction and Building Materials (2025) Vol. 472, pp. 140793-140793
Closed Access
MDCCM: a lightweight multi-scale model for high-accuracy pavement crack detection
Zhuo Gu, Tao Li, Qiang Xiao, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 6
Closed Access
Infrastructure automated defect detection with machine learning: a systematic review
Saeed Talebi, Song Wu, Arijit Sen, et al.
International Journal of Construction Management (2025), pp. 1-12
Open Access
Computer Vision and Transfer Learning for Grading of Egyptian Cotton Fibres
Ahmed Rady, Oliver J. Fisher, Aly A. A. El-Banna, et al.
AgriEngineering (2025) Vol. 7, Iss. 5, pp. 127-127
Open Access
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
Deployment strategies for lightweight pavement defect detection using deep learning and inverse perspective mapping
Handuo Yang, Tao Ma, Tong Zheng, et al.
Automation in Construction (2024) Vol. 167, pp. 105682-105682
Closed Access | Times Cited: 1
A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
Yashar Safyari, Masoud Mahdianpari, Hodjat Shiri
Sensors (2024) Vol. 24, Iss. 17, pp. 5652-5652
Open Access | Times Cited: 1
Survey of automated crack detection methods for asphalt and concrete structures
Oumaima Khlifati, Khadija Baba, Bassam A. Tayeh
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1
Classification and Application of Deep Learning in Construction Engineering and Management – A Systematic Literature Review and Future Innovations
Qingze Li, Yang Yang, Gang Yao, et al.
Case Studies in Construction Materials (2024), pp. e04051-e04051
Open Access | Times Cited: 1
Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
Faris Elghaish, Sandra Matarneh, Farzad Pour Rahimian, et al.
Developments in the Built Environment (2024), pp. 100587-100587
Open Access | Times Cited: 1
Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
Faris Elghaish, Sandra Matarneh, Essam Abdellatef, et al.
(2024)
Closed Access
Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning
Sheng Zhang, Zhenghao Bei, Tonghua Ling, et al.
Research Square (Research Square) (2024)
Open Access
Investigating on Preparation and Performance Of Waterborne Epoxy Resin Modified Emulsified Asphalt Binder
Fan Yang, Qian Zhou, Liming Yang, et al.
(2024)
Closed Access
Research on Establishment of Digital Twin Framework for Intelligent Control of the Cold Rolling Strip Flatness by Data-Driven Algorithm
Yufeng Zhang, Xu Li, Qinglong Wang, et al.
(2024)
Closed Access
Tuberculosis detection bars on VGG19 transfer learning and Zebra Optimization Algorithm
Tianzhi Le, Fanfeng Shi, Ge Meng, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access
DERİN ÖĞRENME İLE ASFALT ÇATLAKLARININ TESPİTİNDE VERİ ARTTIRIMI VE EVRİŞİMSEL BLOK SEÇİMİNİN ETKİSİ
Zahide Topbaş, Özlem Erdaş, Şaban Gülcü
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 11, Iss. 23, pp. 172-189
Open Access
Multi-Grade Road Distress Detection Strategy Based on Enhanced YOLOv8 Model
Jiale Li, Min Jia, Bo Li, et al.
Buildings (2024) Vol. 14, Iss. 12, pp. 3832-3832
Open Access
An active early warning method for abnormal electricity load consumption based on data multi-dimensional feature
Jia Cui, Tianhe Fu, Junyou Yang, et al.
Energy (2024), pp. 134207-134207
Closed Access
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