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:

A spatio-temporal sequence-to-sequence network for traffic flow prediction
Shuqin Cao, Libing Wu, Jia Wu, et al.
Information Sciences (2022) Vol. 610, pp. 185-203
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Scalable and Sustainable Graph-based Traffic Prediction with Adaptive Deep Learning
James J. Q. Yu
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6949-6961
Closed Access | Times Cited: 1

Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Longyun Chen, Chen Qiao, Kai Ren, et al.
NeuroImage (2024) Vol. 298, pp. 120771-120771
Open Access | Times Cited: 1

Spatio-temporal graph neural networks for missing data completion in traffic prediction
Jiahui Chen, Lina Yang, Yi Yang, et al.
International Journal of Geographical Information Science (2024), pp. 1-19
Closed Access | Times Cited: 1

Spatial–temporal combination and multi-head flow-attention network for traffic flow prediction
Lianfei Yu, Wenbo Liu, Dong Wu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Trajectory Privacy-Protection Mechanism Based on Multidimensional Spatial–Temporal Prediction
Ji Xi, Meiyu Shi, Weiqi Zhang, et al.
Symmetry (2024) Vol. 16, Iss. 9, pp. 1248-1248
Open Access

STFM: Accurate Spatio-Temporal Fusion Model for Weather Forecasting
Jun Liu, Li Wu, Tao Zhang, et al.
Atmosphere (2024) Vol. 15, Iss. 10, pp. 1176-1176
Open Access

Advancing complex urban traffic forecasting: A fully attentional spatial-temporal network enhanced by graph representation
Guangyue Li, Jinghan Wang, Zilong Zhao, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104237-104237
Open Access

IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting
Lianfei Yu, Ziling Wang, Weibiao Yang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access

Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting
Hang Lin, Qianqian Ren, Xingfeng Lv
Lecture notes in computer science (2024), pp. 275-289
Closed Access

A Long-term Traffic Flow Prediction Model Based on Multiple Features
Deling Huang, Di Tian
(2023), pp. 1-4
Closed Access | Times Cited: 1

Statistical Modeling of Traffic Flow in Commercial Clusters Based on a Street Network
Weiqiang Zhou, Haoxu Guo, Lihao Yao
Sustainability (2023) Vol. 15, Iss. 3, pp. 1832-1832
Open Access | Times Cited: 1

STCM: A spatio-temporal calibration model for low-cost air monitoring sensors
Yingjun Zhang, Chang Il Ju, Jiahu Qin, et al.
Information Sciences (2023) Vol. 644, pp. 119307-119307
Closed Access | Times Cited: 1

A Spatio-Temporal Heterogeneity Data Accuracy Detection Method Fused by GCN and TCN
Tao Liu, Kejia Zhang, Jingsong Yin, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 2563-2582
Open Access

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