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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:

Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network
Panukorn Taleongpong, Simon Hu, Zhoutong Jiang, et al.
Journal of Intelligent Transportation Systems (2020) Vol. 26, Iss. 3, pp. 311-329
Open Access | Times Cited: 18

Showing 18 citing articles:

Electric vehicle charging demand forecasting using deep learning model
Zhiyan Yi, Xiaoyue Cathy Liu, Ran Wei, et al.
Journal of Intelligent Transportation Systems (2021) Vol. 26, Iss. 6, pp. 690-703
Closed Access | Times Cited: 88
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
Real-time High-Speed Train Delay Prediction using Seemingly Unrelated Regression Models
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Transportation research procedia (2025) Vol. 82, pp. 271-278
Open Access
Evolving passenger priorities in seat ticket purchases: a novel ticketing strategy for railway passenger transportation
Deng Pan, Jiahao Lu, Zexin Duan
Journal of Intelligent Transportation Systems (2025), pp. 1-21
Closed Access
Using Time Signal at Red (TSAR) as a tool for analysing rail network performance
Anirban Bhattacharyya, Matthew Forshaw, David Golightly, et al.
Journal of Rail Transport Planning & Management (2025) Vol. 33, pp. 100505-100505
Open Access
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
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
A multi-output deep learning model based on Bayesian optimization for sequential train delays prediction
Jie Luo, Ping Huang, Qiyuan Peng
International Journal of Rail Transportation (2022) Vol. 11, Iss. 5, pp. 705-731
Closed Access | Times Cited: 12
Analyzing factors contributing to real-time train arrival delays using seemingly unrelated regression models
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Transportation Research Part A Policy and Practice (2023) Vol. 174, pp. 103751-103751
Open Access | Times Cited: 7
Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction
Jianmin Li, Xinyue Xu, Xin Ding, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 8193-8208
Closed Access | Times Cited: 2
Real-time Train Arrival Time Prediction at Multiple Stations and Arbitrary Times
KahYong Tiong, Zhenliang Ma, Carl-William Palmqvist
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2022), pp. 793-798
Closed Access | Times Cited: 6
Analyzing Factors Contributing to Real-time Train Arrival Delays using Seemingly Unrelated Regression Models
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Quantitative methods for train delay propagation research
Kah Yong Tiong, Carl-William Palmqvist
Transportation research procedia (2023) Vol. 72, pp. 80-86
Open Access | Times Cited: 3
Earthquake resilience assessment and improving method of high-speed railway based on train timetable rescheduling
Shuang Li, Yumeng Tang, Changhai Zhai
International Journal of Disaster Risk Reduction (2022) Vol. 82, pp. 103361-103361
Closed Access | Times Cited: 3
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
Bag-of-Future: Time Series Forecasting by Continuous Function Candidates
Hendrik Klopries, V. Chandramouli, Andreas Schwung
(2024), pp. 1-6
Closed Access
XGBoost in Public Transportation for multi-attribute data: delay prediction in railway systems in real-time
Sondoss Chtioui, Sebti Mouelhi, Sébastien Saudrais, et al.
IEEE Access (2024) Vol. 12, pp. 143327-143342
Open Access
A Proposed ELM Ensemble Approach for Predicting Railway Delays
Matthew B. Day
Lecture notes in computer science (2024), pp. 346-351
Closed Access
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