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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:

Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition
Ping Huang, Zhongcan Li, Chao Wen, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114996-114996
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Android malware detection based on multi-head squeeze-and-excitation residual network
Huijuan Zhu, Wei Gu, Liangmin Wang, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118705-118705
Closed Access | Times Cited: 51
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
Explainable train delay propagation: A graph attention network approach
Ping Huang, Jingwei Guo, Shuming Liu, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 184, pp. 103457-103457
Closed Access | Times Cited: 10
Enhancing the Understanding of Train Delays With Delay Evolution Pattern Discovery: A Clustering and Bayesian Network Approach
Ping Huang, Thomas Spanninger, Francesco Corman
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 15367-15381
Closed Access | Times Cited: 33
Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review
Camilo Laiton-Bonadiez, John W. Branch, Julián Andrés Zapata-Cortés, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2491-2491
Open Access | Times Cited: 28
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
A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction
Dawei Wang, Jingwei Guo, Chunyang Zhang
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 4
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
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
Robust online active learning with cluster-based local drift detection for unbalanced imperfect data
Yinan Guo, Zhiji Zheng, Jiayang Pu, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112051-112051
Closed Access | Times Cited: 3
Data-driven decision support for rail traffic control: A predictive approach
Jie Luo, Qiyuan Peng, Chao Wen, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118050-118050
Open Access | Times Cited: 15
Micro-Mobility User Pattern Analysis and Station Location in Thessaloniki
Georgia Ayfantopoulou, Josep Maria Salanova Grau, Zisis Maleas, et al.
Sustainability (2022) Vol. 14, Iss. 11, pp. 6715-6715
Open Access | Times Cited: 14
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
Construction and optimization of non-parametric analysis model for meter coefficients via back propagation neural network
Yuqiang Yang, Ruoyun Hu, Weifeng Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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
Energy-efficient and demand-driven train timetable optimization with a flexible train composition mode
Linhuan Zhong, Guangming Xu, Wei Liu
Energy (2024) Vol. 305, pp. 132183-132183
Closed Access | Times Cited: 2
Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective
Jiamin Zhang, Jiarui Zhang
Discrete Dynamics in Nature and Society (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 6
Prediction of high-speed train delay propagation based on causal text information
Qianyi Liu, Shengjie Wang, Zhongcan Li, et al.
Railway Engineering Science (2022) Vol. 31, Iss. 1, pp. 89-106
Open Access | Times Cited: 10
Capturing complexity over space and time via deep learning: An application to real-time delay prediction in railways
Léon Sobrie, Marijn Verschelde, Veerle Hennebel, et al.
European Journal of Operational Research (2023) Vol. 310, Iss. 3, pp. 1201-1217
Closed Access | Times Cited: 5
Dynamic train dwell time forecasting: a hybrid approach to address the influence of passenger flow fluctuations
Zishuai Pang, Liwen Wang, Shengjie Wang, et al.
Railway Engineering Science (2023) Vol. 31, Iss. 4, pp. 351-369
Open Access | Times Cited: 5
A transfer weighted extreme learning machine for imbalanced classification
Yinan Guo, Botao Jiao, Ying Tan, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 10, pp. 7685-7705
Open Access | Times Cited: 8
Towards Automatic Digitalization of Railway Engineering Schematics
Stéfano Frizzo Stefenon, M. Cristoforetti, Alessandro Cimatti
Lecture notes in computer science (2023), pp. 453-466
Closed Access | Times Cited: 4
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
Neural networked-assisted method for the nurse rostering problem
Ziyi Chen, Yajie Dou, Patrick De Causmaecker
Computers & Industrial Engineering (2022) Vol. 171, pp. 108430-108430
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
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