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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:

STGAFormer: Spatial–temporal Gated Attention Transformer based Graph Neural Network for traffic flow forecasting
Zili Geng, Jie Xu, Rongsen Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102228-102228
Closed Access | Times Cited: 25

Showing 25 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: 11
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model
Zhihao Zhou, Zhenhua Long, Rui-Dong Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 567-584
Closed Access | Times Cited: 8
An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features
Xianhui Zong, Yong Qi, He Yan, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112178-112178
Closed Access | Times Cited: 6
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
Traffic Flow Prediction Model Based on Multi-Period Spatial-Temporal Stepwise Search
Dongran Zhang, Kunxiang Deng, Lihua Ran, et al.
(2025)
Closed Access
Attentional Filtering: Dynamic System State Estimation as an Attention
Andi Lin, Wen-An Zhang, Lei Guo
(2025)
Closed Access
A robust federated biased learning algorithm for time series forecasting
Mingli Song, Xinyu Zhao, Witold Pedrycz
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Global Attention‐Based Dynamic Multi‐Graph Convolutional Recurrent Network for Traffic Flow Forecasting
Jinfeng Hou, S. Ji, Lei Chen, et al.
IET Intelligent Transport Systems (2025) Vol. 19, Iss. 1
Open Access
Modeling heterogeneous spatiotemporal pavement data for condition prediction and preventive maintenance in digital twin-enabled highway management
Linjun Lu, Alix Marie d’Avigneau, Yuandong Pan, et al.
Automation in Construction (2025) Vol. 174, pp. 106134-106134
Open Access
DPSN-STHA: A Dynamic Perception Model of Similar Nodes with Spatial-Temporal Heterogeneity Attention for Traffic Flow Forecasting
Jinnan Yang, Wentian Cui, Qing Shen, et al.
Information Sciences (2025), pp. 122126-122126
Closed Access
A unified traffic flow prediction model considering node differences, spatio-temporal features, and local-global dynamics
Qian Shang, Qingyong Zhang, Ju Cao, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130554-130554
Closed Access
Hybrid attention graph neural network for dynamic spatiotemporal wavefront prediction in adaptive optics
Z. H. Qin, Wenjun Jiang, Ju Tang, et al.
Optics & Laser Technology (2025) Vol. 186, pp. 112730-112730
Closed Access
LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine
Jiaxun Zhang, Yanchen Guan, Chengyue Wang, et al.
Information Fusion (2025), pp. 103173-103173
Closed Access
Emerging Trends in Graph Neural Networks for Traffic Flow Prediction: A Survey
Guangrui Fan, Aznul Qalid Md Sabri, Siti Soraya Abdul Rahman, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
DyAdapTransformer: dynamic adaptive spatial–temporal graph transformer for traffic flow prediction
Hui Dong, Xiao Pan, Xiao Chen, et al.
Journal of Geographical Systems (2025)
Closed Access
A robust federated biased learning algorithm for time series forecasting
Mingli Song, Xinyu Zhao, Witold Pedrycz
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
ST-MambaSync: Complement the power of Mamba and transformer fusion for less computational cost in spatial-temporal traffic forecasting
Zhiqi Shao, Ze Wang, Xusheng Yao, et al.
Information Fusion (2024), pp. 102872-102872
Closed Access | Times Cited: 1
Generalized spatial–temporal regression graph convolutional transformer for traffic forecasting
Lang Xiong, Liyun Su, Shiyi Zeng, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 7943-7964
Open Access
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes
Lili Bao, Chunxia Zhang, Jiangshe Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125173-125173
Closed Access
Deep-TCP: Multi-source Data Fusion for Deep Learning-Powered Tropical Cyclone Intensity Prediction to Enhance Urban Sustainability
Shuailong Jiang, Maohan Liang, Chunzai Wang, et al.
Information Fusion (2024) Vol. 114, pp. 102670-102670
Closed Access
Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network
Yirui Jiang, Shan Zhao, Hongwei Li, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 10, pp. 341-341
Open Access
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction
Jiaqi Lin, Qianqian Ren, Xingfeng Lv, et al.
Information Fusion (2024), pp. 102801-102801
Closed Access
ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting
Yong Luo, Jianying Zheng, Xiang Wang, et al.
Neural Networks (2024) Vol. 184, pp. 107074-107074
Closed Access
Multi-Granularity Temporal Embedding Transformer Network for Traffic Flow Forecasting
Jiani Huang, He Yan, Qixiu Chen, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8106-8106
Open Access
Short-term traffic flow prediction based on spatial–temporal attention time gated convolutional network with particle swarm optimization
Zhongxing Li, Zenan Li, Chaofeng Pan, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
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