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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:

An ensemble prediction model for train delays
Rahul Nair, Thanh Lam Hoang, Marco Laumanns, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 104, pp. 196-209
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
Rui Shi, Xinyue Xu, Jianmin Li, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107538-107538
Closed Access | Times Cited: 149
Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
Swades Pal, Sonali Kundu, Susanta Mahato
Journal of Cleaner Production (2020) Vol. 257, pp. 120311-120311
Closed Access | Times Cited: 107
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Ping Huang, Chao Wen, Liping Fu, et al.
Transportation Research Part E Logistics and Transportation Review (2020) Vol. 141, pp. 102022-102022
Closed Access | Times Cited: 70
Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods
Biswajit Maity, Suraj Kumar Mallick, Pritiranjan Das, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 58
A review of train delay prediction approaches
Thomas Spanninger, Alessio Trivella, Beda Büchel, et al.
Journal of Rail Transport Planning & Management (2022) Vol. 22, pp. 100312-100312
Open Access | Times Cited: 41
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
A Bayesian network model to predict the effects of interruptions on train operations
Ping Huang, Javad Lessan, Chao Wen, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 114, pp. 338-358
Closed Access | Times Cited: 57
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
Assessing the potential of hard rock terrain to store groundwater using AHP techniques in the Vedavathi River Basin, India
Krishna Kumar S, S. A. Ahmed, Jyothika Karkala, et al.
Evolving Earth (2025) Vol. 3, pp. 100057-100057
Open Access
Prediction of the estimated times of arrival of freight train based on operational and geospatial features
Masoud Yaghini, Amirhosein Ezati
Journal of Rail Transport Planning & Management (2025) Vol. 34, pp. 100508-100508
Closed Access
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
Industry 4.0 for passenger railway companies: A maturity model proposal for technology management
M. Franz, Néstor Fabián Ayala, Ana Margarita Larrañaga
Journal of Rail Transport Planning & Management (2024) Vol. 32, pp. 100480-100480
Closed Access | Times Cited: 4
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
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
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning
Ping Zhou, Lefang Chen, Xuewu Dai, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 12, pp. 7432-7444
Open Access | Times Cited: 34
Simulation-based analytics: A systematic literature review
Mohamed Amine Ben Rabia, Adil Bellabdaoui
Simulation Modelling Practice and Theory (2022) Vol. 117, pp. 102511-102511
Closed Access | Times Cited: 19
A novel deep learning model for short-term train delay prediction
Bowen Gao, Lei Zhang, Dongxiu Ou, et al.
Information Sciences (2023) Vol. 645, pp. 119270-119270
Closed Access | Times Cited: 9
Prediction of rail transit delays with machine learning: How to exploit open data sources
Malek Sarhani, Stefan Voß
Multimodal Transportation (2024) Vol. 3, Iss. 2, pp. 100120-100120
Open 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
Identifying the rail operating features associated to intermodal freight rail operation delays
Juan Pineda-Jaramillo, Francesco Viti
Transportation Research Part C Emerging Technologies (2022) Vol. 147, pp. 103993-103993
Closed Access | Times Cited: 15
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
Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models
Juan Pineda-Jaramillo, Federico Bigi, Tommaso Bosi, et al.
IEEE Access (2023) Vol. 11, pp. 46966-46978
Open Access | Times Cited: 8
Train delay prediction in Tunisian railway through LightGBM model
Hassiba Laifa, Raoudha Khcherif, Henda Hajjami Ben Ghezalaa
Procedia Computer Science (2021) Vol. 192, pp. 981-990
Open Access | Times Cited: 18
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