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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:

A Review of Deep Learning Applications for Railway Safety
Kyue Taek Oh, Mintaek Yoo, Nayoung Jin, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10572-10572
Open Access | Times Cited: 20

Showing 20 citing articles:

A bibliometric analysis of railway safety research: thematic evolution, current status, and future research directions
Aliyu Mani Umar, Mohd Khairul Afzan Mohd Lazi, Sitti Asmah Hassan, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2025)
Open Access | Times Cited: 1
Intelligent detection of fastener defects in ballastless tracks based on deep learning
Wenlong Ye, Juanjuan Ren, Chunfang Lu, et al.
Automation in Construction (2024) Vol. 159, pp. 105280-105280
Closed Access | Times Cited: 10
Using deep learning model integration to build a smart railway traffic safety monitoring system
Cheng Chang, Kai-Hsiang Huang, Tsz-Kin Lau, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-Context Point Cloud Dataset and Machine Learning for Railway Semantic Segmentation
Abderrazzaq Kharroubi, Zouhair Ballouch, Rafika Hajji, et al.
Infrastructures (2024) Vol. 9, Iss. 4, pp. 71-71
Open Access | Times Cited: 4
RSDNet: A New Multiscale Rail Surface Defect Detection Model
Jingyi Du, R. L. Zhang, Rui Gao, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3579-3579
Open Access | Times Cited: 4
Intelligent cotter pins defect detection for electrified railway based on improved faster R-CNN and dilated convolution
Xin Wu, Jiaxu Duan, Lingyun Yang, et al.
Computers in Industry (2024) Vol. 162, pp. 104146-104146
Closed Access | Times Cited: 4
PerMSCA-YOLO: A Perceptual Multi-Scale Convolutional Attention Enhanced YOLOv8 Model for Rail Defect Detection
Jialiang Zhang, Ruiqi Zhang, Fengkai Luan, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3588-3588
Open Access
Minimizing Cost Overrun in Rail Projects through 5D-BIM: A Systematic Literature Review
Osama A. I. Hussain, Robert C. Moehler, Stuart D.C. Walsh, et al.
Infrastructures (2023) Vol. 8, Iss. 5, pp. 93-93
Open Access | Times Cited: 11
Deep learning techniques to detect rail indications from ultrasonic data for automated rail monitoring and maintenance
Md. Ashraful Islam, Georg Olm
Ultrasonics (2024) Vol. 140, pp. 107314-107314
Open Access | Times Cited: 3
Artificial-intelligent-powered safety and efficiency improvement for controlling and scheduling in integrated railway systems
Jun Liu, Gehui Liu, Yu Wang, et al.
High-speed Railway (2024) Vol. 2, Iss. 3, pp. 172-179
Open Access | Times Cited: 3
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds
Cyprien Hoelzl, Giacomo Arcieri, Lucian Ancu, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2672-2672
Open Access | Times Cited: 7
A Systematic Review of Railway Trespassing: Problems and Prevention Measures
Silvestar Grabušić, Danijela Barić
Sustainability (2023) Vol. 15, Iss. 18, pp. 13878-13878
Open Access | Times Cited: 5
Semantic Segmentation of Heavy Construction Equipment Based on Point Cloud Data
Suyeul Park, Seok Kim
Buildings (2024) Vol. 14, Iss. 8, pp. 2393-2393
Open Access | Times Cited: 1
Collaborative Optimization Method for Multi-Train Energy-Saving Control with Urban Rail Transit Based on DRLDA Algorithm
Luxi Dong, Linan Qin, Xiaolan Xie, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2454-2454
Open Access | Times Cited: 4
A New Form of Train Detection as a Solution to Improve Level Crossing Closing Time
Michał Zawodny, M. Kruszyna, Wojciech Kazimierz Szczepanek, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6619-6619
Open Access | Times Cited: 3
WITHDRAWN: Artificial-intelligent-powered safety and efficiency improvement for integrated railway systems
Jun Liu, Gehui Liu, Yu Wang, et al.
High-speed Railway (2024)
Open Access
Enhancing Railway Safety Through Fast and Economical Object Detection: A Grounding DINO Approach
Mehmet Sevi, İlhan Aydın
Lecture notes in networks and systems (2024), pp. 198-205
Closed Access
Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11
Omar Rodríguez-Abreo, Mario A. Quiroz‐Juárez, Idalberto Macías-Socarrás, et al.
Infrastructures (2024) Vol. 10, Iss. 1, pp. 3-3
Open Access
Bridging Artificial Intelligence and Railway Cybersecurity: A Comprehensive Anomaly Detection Review
J. Qi, Jian Wang
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Machine Learning - Imaging Applications in Transport Systems: A Review
A. J. Adams, Adnan M. Abu‐Mahfouz, Gerhard P. Hancke
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-7
Closed Access | Times Cited: 1
Vision-Based Urban Rail Vehicle Fault Detection Using Enhanced YOLO Framework
Xingtang Wu, Renxing Yin, Haifeng Song, et al.
2021 China Automation Congress (CAC) (2023), pp. 5751-5756
Closed Access
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