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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:

Predictive models for influence of primary delays using high‐speed train operation records
Zhongcan Li, Ping Huang, Chao Wen, et al.
Journal of Forecasting (2020) Vol. 39, Iss. 8, pp. 1198-1212
Closed Access | Times Cited: 16

Showing 16 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
Railway network delay evolution: A heterogeneous graph neural network approach
Zhongcan Li, Ping Huang, Chao Wen, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111640-111640
Open Access | Times Cited: 5
Prediction of train arrival delays considering route conflicts at multi-line stations
Zhongcan Li, Ping Huang, Chao Wen, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 138, pp. 103606-103606
Open Access | Times Cited: 26
Data-driven insights to reduce uncertainty from disruptive events in passenger railways
Luís Marques, Sérgio Moro, Pedro Ramos
Public Transport (2025)
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
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
Understanding Incident Effects on Subway Operations: Clustering Analysis of Severity Patterns
Mostafa Abolfazli, Martin Trépanier, Aurélie Labbé
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 1
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections
Zhongcan Li, Ping Huang, Chao Wen, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120500-120500
Closed Access | Times Cited: 4
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
Data‐driven train delay prediction incorporating dispatching commands: An XGBoost‐metaheuristic framework
Tianze Gao, Junhua Chen, Huizhang Xu
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 10, pp. 1777-1796
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
Game model of high-speed railway delay and passenger choice behavior under incomplete information
Lei Aiguo, Qizhou Hu, Xiaoyu Wu, et al.
Scientific insights and discoveries review (2024) Vol. 4, pp. 219-231
Open Access
A train delays prediction model under different causes based on MTGNN Approach
Xin Ding, Xinyue Xu, Jianmin Li, et al.
(2021)
Closed Access | Times Cited: 3
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach
Zhongcan Li, Ping Huang, Chao Wen, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 1
PREDICTION OF REAL-TIME TRAIN ARRIVAL TIMES ALONG THE SWEDISH SOUTHERN MAINLINE
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
WIT transactions on the built environment (2022) Vol. 1, pp. 135-143
Open Access | Times Cited: 1
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