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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:

High-dimensional population inflow time series forecasting via an interpretable hierarchical transformer
Songhua Hu, Chenfeng Xiong
Transportation Research Part C Emerging Technologies (2022) Vol. 146, pp. 103962-103962
Open Access | Times Cited: 14

Showing 14 citing articles:

Spatial-temporal load prediction of electric bus charging station based on S2TAT
Guangnian Xiao, Hailin Tong, Yaqing Shu, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 164, pp. 110446-110446
Closed Access | Times Cited: 8
Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models
Songhua Hu, Chenfeng Xiong, Peng Chen, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 174, pp. 103743-103743
Closed Access | Times Cited: 26
A novel method for ship carbon emissions prediction under the influence of emergency events
Yinwei Feng, Xinjian Wang, Jianlin Luan, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104749-104749
Open Access | Times Cited: 12
Evaluating equitable Transit-Oriented development (TOD) via the Node-Place-People model
Yingrui Zhao, Songhua Hu, Ming Zhang
Transportation Research Part A Policy and Practice (2024) Vol. 185, pp. 104116-104116
Closed Access | Times Cited: 7
Maritime Vessel Movement Prediction: A Temporal Convolutional Network Model with Optimal Look-back Window Size Determination
Farshad Farahnakian, Paavo Nevalainen, Fahimeh Farahnakian, et al.
Multimodal Transportation (2025), pp. 100191-100191
Open Access
A Comprehensive Study on Transformer-Based Time Series Forecasting
Di Wang
Advances in computational intelligence and robotics book series (2025), pp. 159-180
Closed Access
A novel hybrid deterministic temporal fusion transformer and dynamic recurrent neural network architecture for multi-horizon multi-variate electric vehicle energy consumption forecasting: mitigation pathway
Rakesh Kumar, Shakila Baskaran, M. Prakash
International Journal of Information Technology (2025)
Closed Access
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction
Qihang Xu, Yutian Pang, Xuesong Zhou, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12561-12577
Closed Access | Times Cited: 3
Transformer-based lithium battery fault diagnosis research for electric vehicles
Jui-Chan Huang, Ming‐Hung Shu, Hsiang-Tsen Lin, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9329-9341
Closed Access | Times Cited: 2
Understanding factors influencing user engagement in incentive-based travel demand management program
Songhua Hu, Chenfeng Xiong, Ya Ji, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 186, pp. 104145-104145
Closed Access | Times Cited: 2
A case study of checking national household travel survey data with machine learning
Lisa Ecke, Miriam Magdolen, Sina Jaquart, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 24, pp. 101078-101078
Open Access | Times Cited: 1
Shared travel demand forecasting and multi-phase vehicle relocation optimization for electric carsharing systems
Ning Wang, Hangqi Tian, Gang Wu, et al.
Transportation Letters (2023) Vol. 16, Iss. 9, pp. 1002-1017
Closed Access | Times Cited: 4
Interpretable hierarchical error correction GRU model for effective observation selection
Chao Zhang, Defu Jiang, Yiyue Gao, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110982-110982
Closed Access | Times Cited: 2
Supply level planning for shared e-scooters considering spatiotemporal heteroscedastic demand
Narith Saum, Mongkut Piantanakulchai, Satoshi Sugiura
Transportation Research Interdisciplinary Perspectives (2024) Vol. 23, pp. 101019-101019
Open Access
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