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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:

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

Showing 1-25 of 278 citing articles:

Differential Privacy Techniques for Cyber Physical Systems: A Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
IEEE Communications Surveys & Tutorials (2019) Vol. 22, Iss. 1, pp. 746-789
Open Access | Times Cited: 454
Applications of machine learning methods for engineering risk assessment – A review
Jeevith Hegde, Børge Rokseth
Safety Science (2019) Vol. 122, pp. 104492-104492
Open Access | Times Cited: 293
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
Applications of smart technologies in logistics and transport: A review
S.H. Chung
Transportation Research Part E Logistics and Transportation Review (2021) Vol. 153, pp. 102455-102455
Open Access | Times Cited: 159
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
Big Data in operations and supply chain management: a systematic literature review and future research agenda
Shalini Talwar, Puneet Kaur, Samuel Fosso Wamba, et al.
International Journal of Production Research (2021) Vol. 59, Iss. 11, pp. 3509-3534
Open Access | Times Cited: 140
Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance
G Bianchi, C. Fanelli, Francesco Freddi, et al.
Advances in Mechanical Engineering (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Stochastic prediction of train delays in real-time using Bayesian networks
Francesco Corman, Pavle Kecman
Transportation Research Part C Emerging Technologies (2018) Vol. 95, pp. 599-615
Open Access | Times Cited: 122
IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues
Marieh Talebkhah, Aduwati Sali, Mohsen Marjani, et al.
IEEE Access (2021) Vol. 9, pp. 55465-55484
Open Access | Times Cited: 94
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles
Yanqi Lian, Guoqing Zhang, Jaeyoung Lee, et al.
Accident Analysis & Prevention (2020) Vol. 146, pp. 105711-105711
Closed Access | Times Cited: 81
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: 78
Data-driven predictive maintenance scheduling policies for railways
Pedro Cesar Lopes Gerum, Ayça Altay, Melike Baykal‐Gürsoy
Transportation Research Part C Emerging Technologies (2019) Vol. 107, pp. 137-154
Closed Access | Times Cited: 75
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance
Hossein Hassani, Xu Huang, Steve MacFeely, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 3, pp. 28-28
Open Access | Times Cited: 73
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Ping Huang, Chao Wen, Liping Fu, et al.
Transportation Research Part E Logistics and Transportation Review (2020) Vol. 141, pp. 102022-102022
Closed Access | Times Cited: 70
A taxonomy of railway track maintenance planning and scheduling: A review and research trends
Mahdieh Sedghi, Osmo Kauppila, Bjarne Bergquist, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107827-107827
Open Access | Times Cited: 70
Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges
Ansif Arooj, Muhammad Shoaib Farooq, Aftab Akram, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 793-829
Closed Access | Times Cited: 66
A survey of modeling for prognosis and health management of industrial equipment
Yigit Yucesan, Arinan Dourado, Felipe Viana
Advanced Engineering Informatics (2021) Vol. 50, pp. 101404-101404
Closed Access | Times Cited: 59
Developments, challenges, and perspectives of railway inspection robots
Guoqing Jing, Xuanyang Qin, Haoyu Wang, et al.
Automation in Construction (2022) Vol. 138, pp. 104242-104242
Closed Access | Times Cited: 53
A deep reinforcement learning approach for rail renewal and maintenance planning
Reza Karami Mohammadi, Qing He
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108615-108615
Closed Access | Times Cited: 48
HOW ANALYTICS CAN IMPROVE LOGISTICS AND SUPPLY CHAIN IN MULTINATIONAL COMPANIES: PERSPECTIVES FROM EUROPE AND AMERICA
Mesbaul Haque Sazu, Sakila Akter Jahan
BUSINESS EXCELLENCE AND MANAGEMENT (2022) Vol. 12, Iss. 3, pp. 91-107
Open Access | Times Cited: 42
A review of train delay prediction approaches
Thomas Spanninger, Alessio Trivella, Beda Büchel, et al.
Journal of Rail Transport Planning & Management (2022) Vol. 22, pp. 100312-100312
Open Access | Times Cited: 41
A review of data-driven approaches to predict train delays
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Transportation Research Part C Emerging Technologies (2023) Vol. 148, pp. 104027-104027
Open Access | Times Cited: 34
Anomaly detection of train wheels utilizing short-time Fourier transform and unsupervised learning algorithms
Ting Hei Wan, Chi Wai Tsang, King Hui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106037-106037
Closed Access | Times Cited: 24
Intelligent Transportation Systems in Smart City: A Systematic Survey
Muhammad Abul Hassan, Roofia Javed, Farhatullah, et al.
(2023)
Closed Access | Times Cited: 23
An ensemble prediction model for train delays
Rahul Nair, Thanh Lam Hoang, Marco Laumanns, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 104, pp. 196-209
Closed Access | Times Cited: 72
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