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:

RDD2022: A multi‐national image dataset for automatic road damage detection
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
Geoscience Data Journal (2024)
Open Access | Times Cited: 14

Showing 14 citing articles:

ORDDC’2024: State of the art Solutions for Optimized Road Damage Detection
Deeksha Arya, Hiroshi Omata, Hiroya Maeda, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8430-8438
Closed Access | Times Cited: 5

Road damage detection and classification using deep neural networks
Yi-Wen Jiang
Deleted Journal (2024) Vol. 6, Iss. 8
Open Access | Times Cited: 4

MS-YOLOv8-Based Object Detection Method for Pavement Diseases
Zhibin Han, Yutong Cai, Anqi Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4569-4569
Open Access | Times Cited: 2

Automatic detection and classification of road defects on a global-scale for the comfort and safety of traffic components: Embedded system
Ömer Kaya, Muhammed Yasin Çodur
Measurement (2024) Vol. 243, pp. 116453-116453
Closed Access | Times Cited: 1

A New Attention Mechanism for Semi-Guided Annotation of Very Large-Scale Pavement Defect Labelling in Malaysia Road Images
Mohd Ikmal Fitri Maruzuki, Muhammad Khusairi Osman, Samsul Setumin, et al.
(2024), pp. 1-6
Closed Access

Improved YOLOv5 for Road Disease Detection
Guangfu Wu, Longxin Liang, Hao Liu, et al.
(2024), pp. 781-786
Closed Access

Enhanced Road Damage Detection with Federated Learning Across Diverse and Heterogeneous Global Datasets
Shubham Kumar Dwivedi, Deeksha Arya, Yoshihide Sekimoto
(2024), pp. 711-712
Closed Access

Real-time pavement distress detection based on deep learning and visual sensors
Zhen Liu, Deer Liu, Lanxin Zhang, et al.
Road Materials and Pavement Design (2024), pp. 1-19
Closed Access

Towards Real-world Deployment of Deep Learning Solutions for Global Road Damage Detection and Classification
Jooyoung Yoo, Reem Emad Shtaiwi, Mohammad Yasin, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8485-8494
Closed Access

Optimized Road Damage Detection Using Enhanced Deep Learning Architectures for Improved Inference Speed and Accuracy
Jaemin Jeong, Ji-Ho Cho, Jeong‐Gun Lee
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8453-8459
Closed Access

Road Damage Detection with Models Learning from Each Other
Fangjun Wang, Jianing Wei, Nan Zhang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8479-8484
Closed Access

A Set of Effective Strategies for Optimized Road Damage Detection
Yinglong Du, Xu Zhao, Bailin He, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8447-8452
Closed Access

Exploring Real-Time Model Augmentation and Pretraining for Optimized Road Damage Detection
Rahul Vishwakarma
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8469-8478
Closed Access

Multiple Data Sources and Domain Generalization Learning Method for Road Surface Defect Classification
Linh Trinh, Ali Anwar, Siegfried Mercelis
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 1397-1402
Closed Access

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