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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:

Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis
Emanuele Fumeo, Luca Oneto, Davide Anguita
Procedia Computer Science (2015) Vol. 53, pp. 437-446
Open Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei, Naipeng Li, Liang Guo, et al.
Mechanical Systems and Signal Processing (2017) Vol. 104, pp. 799-834
Closed Access | Times Cited: 1837
Recent applications of big data analytics in railway transportation systems: A survey
Faeze Ghofrani, Qing He, Rob M.P. Goverde, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 90, pp. 226-246
Closed Access | Times Cited: 278
Big Data for Internet of Things: A Survey
Mouzhi Ge, Hind Bangui, Barbora Bühnová
Future Generation Computer Systems (2018) Vol. 87, pp. 601-614
Closed Access | Times Cited: 273
Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis
Sepideh Kaffash, An Nguyen, Joe Zhu
International Journal of Production Economics (2020) Vol. 231, pp. 107868-107868
Closed Access | Times Cited: 265
A literature review of Artificial Intelligence applications in railway systems
Ruifan Tang, Lorenzo De Donato, Nikola Bešinović, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 140, pp. 103679-103679
Open Access | Times Cited: 144
Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study
Aitzaz Ahmed Murtaza, Amina Saher, Muhammad Hamza Zafar, et al.
Results in Engineering (2024), pp. 102935-102935
Open Access | Times Cited: 20
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective
Andrea Coraddu, Luca Oneto, Francesco Baldi, et al.
Ocean Engineering (2016) Vol. 130, pp. 351-370
Closed Access | Times Cited: 162
Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation
Ansi Zhang, Honglei Wang, Shaobo Li, et al.
Applied Sciences (2018) Vol. 8, Iss. 12, pp. 2416-2416
Open Access | Times Cited: 150
Big Data for transportation and mobility: recent advances, trends and challenges
Ana I. Torre-Bastida, Javier Del Ser, Ibai Laña, et al.
IET Intelligent Transport Systems (2018) Vol. 12, Iss. 8, pp. 742-755
Closed Access | Times Cited: 138
Train Delay Prediction Systems: A Big Data Analytics Perspective
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, et al.
Big Data Research (2017) Vol. 11, pp. 54-64
Closed Access | Times Cited: 120
Blending Big Data Analytics: Review on Challenges and a Recent Study
Fairuz Amalina, Mohamed Hashem, Zati Hakim Azizul, et al.
IEEE Access (2019) Vol. 8, pp. 3629-3645
Open Access | Times Cited: 111
A Bayesian network model for prediction of weather-related failures in railway turnout systems
Guang Wang, Tianhua Xu, Tao Tang, et al.
Expert Systems with Applications (2016) Vol. 69, pp. 247-256
Closed Access | Times Cited: 109
A SVM framework for fault detection of the braking system in a high speed train
Jie Liu, Yan‐Fu Li, Enrico Zio
Mechanical Systems and Signal Processing (2016) Vol. 87, pp. 401-409
Open Access | Times Cited: 108
A Big Data Analysis Approach for Rail Failure Risk Assessment
Ali Ashraf Jamshidi, Shahrzad Faghih‐Roohi, Siamak Hajizadeh, et al.
Risk Analysis (2017) Vol. 37, Iss. 8, pp. 1495-1507
Open Access | Times Cited: 108
Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
Daniel Bumblauskas, Douglas D. Gemmill, Amy Igou, et al.
Expert Systems with Applications (2017) Vol. 90, pp. 303-317
Closed Access | Times Cited: 101
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 47, Iss. 10, pp. 2754-2767
Closed Access | Times Cited: 92
Data-Driven Fault Diagnosis for Electric Drives: A Review
David Gonzalez-Jimenez, Jon del Olmo, Javier Poza, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4024-4024
Open Access | Times Cited: 78
A Survey on Data-Driven Predictive Maintenance for the Railway Industry
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5739-5739
Open Access | Times Cited: 77
Advent of Big Data in Urban Transportation for Smart Cities
Bhargav Naidu Matcha, Sivakumar Sivanesan, K.C. Ng, et al.
Advances in computational intelligence and robotics book series (2022), pp. 1-60
Closed Access | Times Cited: 63
A remaining life prediction of rolling element bearings based on a bidirectional gate recurrent unit and convolution neural network
Yajun Shang, Xinglu Tang, Zhao Guang-qian, et al.
Measurement (2022) Vol. 202, pp. 111893-111893
Closed Access | Times Cited: 53
Timely condition-based maintenance planning for multi-component systems
K. Verbert, Bart De Schutter, Robert Babuška
Reliability Engineering & System Safety (2016) Vol. 159, pp. 310-321
Open Access | Times Cited: 71
Non-destructive Assessment and Health Monitoring of Railway Infrastructures
Salih Serkan Artagan, Luca Bianchini Ciampoli, Fabrizio D’Amico, et al.
Surveys in Geophysics (2019) Vol. 41, Iss. 3, pp. 447-483
Closed Access | Times Cited: 69
A decision support approach for condition-based maintenance of rails based on big data analysis
Ali Ashraf Jamshidi, Siamak Hajizadeh, Zhou Su, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 95, pp. 185-206
Open Access | Times Cited: 62
A general anomaly detection framework for fleet-based condition monitoring of machines
Kilian Hendrickx, Wannes Meert, Yves Mollet, et al.
Mechanical Systems and Signal Processing (2020) Vol. 139, pp. 106585-106585
Open Access | Times Cited: 51
AdaBoost Algorithm Could Lead to Weak Results for Data with Certain Characteristics
Olivér Hornyák, László Barna Iantovics
Mathematics (2023) Vol. 11, Iss. 8, pp. 1801-1801
Open Access | Times Cited: 20
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