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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:

Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting
Z.H. Xia, Yong Zhang, Jielong Yang, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122381-122381
Closed Access | Times Cited: 18

Showing 18 citing articles:

Attention based spatial-temporal multi-graph ordinary differential equation network for traffic flow prediction
Y.Z. Chen, Cheng Li, Shuang Li
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110526-110526
Closed Access
Traffic Flow Prediction Based on Dynamic Time Slot Graph Convolution
Hongwei Chen, Han Wang, Zexi Chen
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
Stacked neural filtering network for reliable NEV monitoring
Yingzi Wang, Ce Yu, Xianglei Zhu, et al.
Displays (2025) Vol. 87, pp. 102976-102976
Closed Access
Traffic prediction by graph transformer embedded with subgraphs
Hyung-Jun Moon, Sung‐Bae Cho
Expert Systems with Applications (2025) Vol. 272, pp. 126799-126799
Closed Access
ASTTN: An Adaptive Spatial–Temporal Transformer Network for traffic flow prediction
Zijie Xue, Linyu Huang, Qian Ning
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110263-110263
Closed Access
Vessel Trajectory Prediction for Enhanced Maritime Navigation Safety: A Novel Hybrid Methodology
Yuhao Li, Qing Yu, Zhisen Yang
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1351-1351
Open Access | Times Cited: 2
Dynamic Multi-Scale Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction
Ming Gao, Zhuoran Du, H. Qin, et al.
Knowledge-Based Systems (2024), pp. 112586-112586
Closed Access | Times Cited: 2
EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification
Abdul Joseph Fofanah, Alpha Omar Leigh
Neurocomputing (2024), pp. 128686-128686
Open Access | Times Cited: 1
Networks in Social Networks
Jiang Wu
(2024), pp. 375-422
Closed Access | Times Cited: 1
Eatsa-Gnn: Edge-Aware and Two-Stage Attention for Enhancing Graph Neural Networks Based on Teacher-Student Mechanisms for Graph Node Classification
Abdul Joseph Fofanah, Alpha Omar Leigh
(2024)
Closed Access
Road Condition Prediction Based on ARIMA Algorithm
Yiwei Wang, Yuhao Zhang, Yanbing Zhou, et al.
Highlights in Science Engineering and Technology (2024) Vol. 92, pp. 403-410
Open Access
Deep Learning for Traffic Prediction and Trend Deviation Identification: A Case Study in Hong Kong
Xiexin Zou, Edward Chung, Hongbo Ye, et al.
Research Square (Research Square) (2024)
Closed Access
A Health Monitoring Model for Circulation Water Pumps in a Nuclear Power Plant Based on Graph Neural Network Observer
Jianyong Gao, Liyi Ma, Qing Chen, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4486-4486
Open Access
Medium–Long-Term PV Output Forecasting Based on the Graph Attention Network with Amplitude-Aware Permutation Entropy
Shuyi Shen, Yingjing He, Gaoxuan Chen, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4187-4187
Open Access
A traffic flow prediction framework based on integrated federated learning and Recurrent Long short-term networks
Manoj Kumar Pulligilla, C. Vanmathi
Peer-to-Peer Networking and Applications (2024)
Closed Access
LGTCN: A Spatial–Temporal Traffic Flow Prediction Model Based on Local–Global Feature Fusion Temporal Convolutional Network
Wei Ye, H. H. Kuang, Kunxiang Deng, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8847-8847
Open Access
Deep Learning for Traffic Prediction and Trend Deviation Identification: A Case Study in Hong Kong
Xiexin Zou, Edward Chung, Hongbo Ye, et al.
Data Science for Transportation (2024) Vol. 6, Iss. 3
Open Access
Human intention recognition using context relationships in complex scenes
Tong Tong, Rossitza Setchi, Yulia Hicks
Expert Systems with Applications (2024), pp. 126147-126147
Open Access
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