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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:

Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks
Jacob Scott White Heglund, Panukorn Taleongpong, Simon Hu, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 22

Showing 22 citing articles:

Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo
Expert Systems with Applications (2022) Vol. 207, pp. 117921-117921
Open Access | Times Cited: 729
Graph Neural Networks for Anomaly Detection in Industrial Internet of Things
Yulei Wu, Hong‐Ning Dai, Haina Tang
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 12, pp. 9214-9231
Open Access | Times Cited: 164
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
Machine Learning in Urban Rail Transit Systems: A Survey
Li Zhu, Cheng Chen, Hongwei Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2182-2207
Closed Access | Times Cited: 14
Disaggregating Train Delays into Primary and Secondary Components using Gated Graph Convolutional Networks
Maximilian Viehauser, Martin Bicher, M. Rößler, et al.
IFAC-PapersOnLine (2025) Vol. 59, Iss. 1, pp. 439-444
Open Access
An Overview Based on the Overall Architecture of Traffic Forecasting
Lilan Peng, Xuehua Liao, Tianrui Li, et al.
Data Science and Engineering (2024) Vol. 9, Iss. 3, pp. 341-359
Open Access | Times Cited: 3
GNN-based End-to-end Delay Prediction in Software Defined Networking
Zhun Ge, Jiacheng Hou, Amiya Nayak
(2022), pp. 372-378
Open Access | Times Cited: 10
Forecasting SDN End-to-End Latency Using Graph Neural Network
Zhun Ge, Jiacheng Hou, Amiya Nayak
2022 International Conference on Information Networking (ICOIN) (2023), pp. 293-298
Closed Access | Times Cited: 5
Passenger Flow Prediction for Public Transportation Stations Based on Spatio-Temporal Graph Convolutional Network with Periodic Components
Wei‐Xi Huang, Baokui Cao, Xueming Li, et al.
Journal of Circuits Systems and Computers (2022) Vol. 31, Iss. 07
Closed Access | Times Cited: 8
Identifying Critical Links in Urban Transportation Networks Based on Spatio-Temporal Dependency Learning
Huang Xinlong, Simon Hu, Wei Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 5583-5597
Open Access | Times Cited: 4
Delay prediction with spatial–temporal bi-directional LSTM in railway network
Ke Yu, Chuiyun Kong, Limin Zhong, et al.
ICT Express (2023) Vol. 9, Iss. 5, pp. 921-926
Open Access | Times Cited: 4
Delay Propagation in Large Railway Networks with Data-Driven Bayesian Modeling
Boyu Li, Ting Guo, Ruimin Li, et al.
Transportation Research Record Journal of the Transportation Research Board (2021) Vol. 2675, Iss. 11, pp. 472-485
Closed Access | Times Cited: 7
Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices
Hongde Wu, Noel E. O׳Connor, Jennifer Bruton, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 5945-5945
Open Access | Times Cited: 4
Learning-Based Optimisation for Integrated Problems in Intermodal Freight Transport: Preliminaries, Strategies, and State of the Art
Elija Deineko, Paul Jungnickel, Carina Kehrt
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8642-8642
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
A Performance Prediction Method Based on Multi-task Spatio-Temporal Convolution Network for SDN Heterogeneous Network
Zongping Zhou, Dajun Du, Zheyi Chen, et al.
Communications in computer and information science (2024), pp. 262-275
Closed Access
Bridging Artificial Intelligence and Railway Cybersecurity: A Comprehensive Anomaly Detection Review
J. Qi, Jian Wang
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
The Transforter - A Transformer Model to Predict Delays in Multimodal Transportation Networks
Priyanga Kasthurirajan, Rohith Regikumar, Arvind Ramanujam, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 1196-1202
Closed Access
TrainChaiNN - A Train Delay Prediction Model Using Chained Adversarial Neural Networks
Rohith Regikumar, Priyanga Kasthurirajan, Arvind Ramanujam, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 3908-3913
Closed Access | Times Cited: 1
On the Importance of Stationarity, Strong Baselines and Benchmarks in Transport Prediction Problems
Filipe Rodrigues
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 4927-4932
Open Access | Times Cited: 1
SPSTN: Sequential Precoding Spatial-Temporal Networks for Railway Delay Prediction
Junfeng Fu, Limin Zhong, Changyu Li, et al.
Lecture notes in computer science (2023), pp. 451-458
Closed Access
Predicting Primary Delay of Train Services Using Graph-Embedding Based Machine Learning
Ruifan Tang, Ronghui Liu, Zhiyuan Lin
(2023)
Closed Access
A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail
Li Jian, Huanran Zheng, Bofeng Chen, et al.
Lecture notes in computer science (2022), pp. 229-243
Closed Access
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