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:

Real-Time Passenger Train Delay Prediction Using Machine Learning: A Case Study With Amtrak Passenger Train Routes
Pipatphon Lapamonpinyo, Sybil Derrible, Francesco Corman
IEEE Open Journal of Intelligent Transportation Systems (2022) Vol. 3, pp. 539-550
Open Access | Times Cited: 14

Showing 14 citing articles:

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

AP-GRIP evaluation framework for data-driven train delay prediction models: systematic literature review
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
European Transport Research Review (2025) Vol. 17, Iss. 1
Open Access

Toward Foundation Models for Inclusive Object Detection: Geometry- and Category-Aware Feature Extraction Across Road User Categories
Zonglin Meng, Xin Xia, Jiaqi Ma
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 11, pp. 6570-6580
Closed Access | Times Cited: 2

Navigating Passenger Satisfaction: A Structural Equation Modeling–Artificial Neural Network Approach to Intercity Bus Services
Shaghayegh Rahnama, Adriana Cortez, Andrés Monzón de Cáceres
Sustainability (2024) Vol. 16, Iss. 11, pp. 4363-4363
Open Access | Times Cited: 1

Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions
Federico Gallo, Nicola Sacco, Francesco Corman
IEEE Open Journal of Intelligent Transportation Systems (2023) Vol. 4, pp. 815-832
Open Access | Times Cited: 3

Modeling the Duration of the Impact of Unplanned Disruptions on Passenger Trips Using Smartcard Data in Urban Rail Systems
Tianyou Liu, Haris N. Koutsopoulos, Zhenliang Ma
Urban Rail Transit (2023) Vol. 9, Iss. 3, pp. 266-279
Open Access | Times Cited: 2

Forecasting train arrival delays on the Ankara – Eskişehir high-speed line in Turkey
Özgül Ardıç
Journal of Rail Transport Planning & Management (2024) Vol. 30, pp. 100448-100448
Closed Access

Hannan Quinn Quantum Grasshopper Optimization and Attention Deep Intelligent Train Status Prediction
Ajay Pratap Singh, Rajesh Kumar Dhanaraj, Santosh Kumar, et al.
Multimedia Tools and Applications (2024)
Closed Access

Integrated optimization of energy-efficient train timetable and rolling stock circulation plan with regenerative energy utilization
Songwei Zhu, Yihui Wang, Guodong Wei, et al.
Journal of Rail Transport Planning & Management (2024) Vol. 33, pp. 100499-100499
Closed Access

Near Real-Time Train Location Prediction Using LSTM Neural Network With Attention Mechanism
Fathimah Azzahra, Sinung Suakanto, Faqih Hamami
(2024), pp. 199-205
Closed Access

Train Delay Predicti On Using Machine Learning and Deep Learning Techniques
O. Obulesu
International Journal of Computational Sciences and Engineering (2023) Vol. 13, Iss. 1, pp. 35-44
Open Access

A Flight Delay Prediction Model Using Machine Learning and Temporal Convolutional Networks
K. Vijay, Deepak Sr, T. Deepika, et al.
(2023), pp. 1-7
Closed Access

A Robust Real Time Train Delay Prediction System to Support Passengers by using Fuzzy based Learning Scheme
S. Padma, K. Shankar, G. Ramya, et al.
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2023), pp. 1-7
Closed Access

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