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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 Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance
Lorenzo De Donato, Francesco Flammini, Stefano Marrone, et al.
IEEE Access (2022) Vol. 10, pp. 65376-65400
Open Access | Times Cited: 23

Showing 23 citing articles:

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture
Lorenzo De Donato, Ruth Dirnfeld, Alessandra Somma, et al.
Journal of Reliable Intelligent Environments (2023) Vol. 9, Iss. 3, pp. 303-317
Open Access | Times Cited: 17
Digital Twin Approach for Operation and Maintenance of Transportation System – Systematic Review
Sylwia Werbińska-Wojciechowska, R. Giel, Klaudia Winiarska
(2024)
Open Access | Times Cited: 6
Machine Learning in Urban Rail Transit Systems: A Survey
Li Zhu, Cheng Chen, Hongwei Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2182-2207
Closed Access | Times Cited: 14
Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond
Ruth Dirnfeld, Lorenzo De Donato, Alessandra Somma, et al.
SIMULATION (2024) Vol. 100, Iss. 9, pp. 903-917
Closed Access | Times Cited: 4
Optimal feature selection on Serial Cascaded deep learning for predictive maintenance system in automotive industry with fused optimization algorithm
Venkata Sushma Chinta, Sowmya Kethi Reddi, Nagini Yarramsetty
Advanced Engineering Informatics (2023) Vol. 57, pp. 102105-102105
Closed Access | Times Cited: 10
Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance
Lorenzo De Donato, Stefano Marrone, Francesco Flammini, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106405-106405
Open Access | Times Cited: 6
Rail anomalies detection: A comparative analysis of three self-supervised models on real data
Antonio Origlia, Sergio Di Martino, Ermanno Battista
Computers in Industry (2023) Vol. 148, pp. 103909-103909
Open Access | Times Cited: 4
Longitudinal tear detection method for conveyor belt based on multi-mode fusion
Yimin Wang, Yuhong Du, Changyun Miao, et al.
Wireless Networks (2024) Vol. 30, Iss. 4, pp. 2839-2854
Closed Access | Times Cited: 1
A study on the application of convolutional neural networks for the maintenance of railway tracks
Mauro José Pappaterra, María Lucía Pappaterra, Francesco Flammini
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Digital Twin Approach for Operation and Maintenance of Transportation System—Systematic Review
Sylwia Werbińska-Wojciechowska, R. Giel, Klaudia Winiarska
Sensors (2024) Vol. 24, Iss. 18, pp. 6069-6069
Open Access | Times Cited: 1
A Literature Review for the Application of Artificial Intelligence in the Maintenance of Railway Operations with an Emphasis on Data
Mauro José Pappaterra
Communications in computer and information science (2022), pp. 59-75
Closed Access | Times Cited: 6
Single-stripe-enhanced spacetime stereo reconstruction for concrete defect identification
Linxin Hua, Jianghua Deng, Zhoufeng Shi, et al.
Automation in Construction (2023) Vol. 156, pp. 105136-105136
Open Access | Times Cited: 3
YOLO and Faster R-CNN Object Detection in Architecture, Engineering and Construction (AEC): Applications, Challenges, and Future Prospects
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
Locally Masked Convolutional Models for Anomalous Sound Detection by Deep Learning
Frédéric Abad, Yuta Nakano, R Bendahan, et al.
Procedia Computer Science (2024) Vol. 232, pp. 3013-3023
Open Access
Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis
Smita Rath, H.C. Upadhyay, Somya Prakash, et al.
Lecture notes in networks and systems (2024), pp. 69-84
Closed Access
Self-adapting reconfigurable multiply-accumulator for real-time image processing in embedded systems
Andrea Fasolino, Paola Vitolo, Rosalba Liguori, et al.
(2024), pp. 6-6
Closed Access
RATTLE: Train Identification Through Audio Fingerprinting
Leonardo Ciabattini, Luca Sciullo, Alfonso Esposito, et al.
(2024), pp. 47-54
Closed Access
Semi-Systematic Review of the Feasibility for Predictive Analysis of Railway Power Supply and Electrical Trains
Alf-Kristian Fladby, Nils Jakob Johannesen
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) (2024), pp. 1-7
Closed Access
Railway Fault Detection and Early Warning System Based on Computer Vision
Zhibo Wang
Sustainable civil infrastructures (2024), pp. 798-807
Closed Access
Artificial Intelligence Applied to Software Testing
Akshay Singh, Omar Al-Azzam
(2023), pp. 01-12
Open Access | Times Cited: 1
Scientific Research-Based View in Construction Projects: Creating Intelligent Infrastructure
Dániel Tokody, Peng Zhang, László Ady, et al.
Interdisciplinary Description of Complex Systems (2023) Vol. 21, Iss. 4, pp. 412-420
Open Access
Software Engineering and Automation

(2023)
Open Access
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