OpenAlex Citation Counts

OpenAlex Citations Logo

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 stochastic model for reliability analysis of periodic train timetables
Mehmet Şirin Artan, İsmail Şahin
Transportmetrica B Transport Dynamics (2022) Vol. 11, Iss. 1, pp. 572-589
Closed Access | Times Cited: 12

Showing 12 citing articles:

Resilience-based post-disaster repair strategy for integrated public transit networks
Zhizhen Liu, Daniel Sun, Hong Chen, et al.
Transportmetrica B Transport Dynamics (2024) Vol. 12, Iss. 1, pp. 1-25
Closed Access | Times Cited: 5

Connectivity, Reliability and Approachability in Public Transport: Some Indicators for Improving Sustainability
Neïla Bhouri, Tiziana Campisi, Maurice Aron, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 645-645
Open Access

Combined timetabling of periodic and aperiodic trains using an efficient train-based Lagrangian relaxation decomposition
Naijie Chai, Wenliang Zhou, Ziyu Chen, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 28-56
Closed Access

Seat allocation optimization for railway systems with equity considerations
Guangming Xu, P. Zhou, Wei Liu, et al.
Transportmetrica B Transport Dynamics (2025) Vol. 13, Iss. 1
Closed Access

A Comparative Analysis of Train Delay Prediction Models for Markov Chains
Mehmet Şirin Artan, İsmail Şahin
Transportation research procedia (2025) Vol. 82, pp. 822-835
Open Access

Predicting primary delay of train services using graph-embedding based machine learning
Ruifan Tang, Ronghui Liu, Zhiyuan Lin
Journal of Rail Transport Planning & Management (2025) Vol. 34, pp. 100518-100518
Open Access

Quantifying the dynamic predictability of train delay with uncertainty-aware neural networks
Thomas Spanninger, Nina Wiedemann, Francesco Corman
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104563-104563
Open Access | Times Cited: 3

Bus Rescheduling for Long-Term Benefits: An Integrated Model Focusing on Service Capability and Regularity
Sen Deng, Zhaocheng He, Jiaming Zhong, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1872-1872
Open Access | Times Cited: 2

Predicting and measuring service disruption recovery time in railway gravity hump classification yards
Jiaxi Zhao, C. Tyler Dick
Journal of Rail Transport Planning & Management (2024) Vol. 29, pp. 100433-100433
Closed Access | Times Cited: 1

Train Delay Predictions Using Markov Chains Based on Process Time Deviations and Elastic State Boundaries
Thomas Spanninger, Beda Büchel, Francesco Corman
Mathematics (2023) Vol. 11, Iss. 4, pp. 839-839
Open Access | Times Cited: 3

Measuring high-speed train delay severity: Static and dynamic analysis
Yiran Li, Chao Wen, Shenglan Yang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301762-e0301762
Open Access

Special issue on “Reliability and resilience of emerging mobility systems”, an editorial note
Oded Cats, Sybil Derrible, Joseph Y.J. Chow
Transportmetrica B Transport Dynamics (2023) Vol. 11, Iss. 1, pp. 1092-1094
Open Access

Page 1

Scroll to top