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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:

RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
Yanjie Wen, Ping Xu, Zhihong Li, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119587-119587
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

MT-STNet: A Novel Multi-Task Spatiotemporal Network for Highway Traffic Flow Prediction
Guojian Zou, Ziliang Lai, Ting Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 8221-8236
Closed Access | Times Cited: 9
ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction
Yutian Liu, Tao Feng, Soora Rasouli, et al.
Neurocomputing (2024) Vol. 601, pp. 128175-128175
Closed Access | Times Cited: 9
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Yan Li, Maohan Liang, Huanhuan Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107012-107012
Open Access | Times Cited: 20
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
A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data
Liying Cao, Miao Sun, Zhicheng Yang, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1998-1998
Open Access | Times Cited: 6
A graph-based approach for traffic prediction using similarity and causal relations between nodes
Alkilane Khaled, Alfateh M. Tag Elsir, Pengfei Wang, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111913-111913
Closed Access | Times Cited: 5
Traffic flow prediction based on the RETGCN model
Hong Zhang, Gang Yang, Hailiang Yu, et al.
Computing (2025) Vol. 107, Iss. 1
Closed Access
Decoupled Graph Spatial-Temporal Transformer Networks for traffic flow forecasting
Wei Sun, Rongzhang Cheng, Yingqi Jiao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110476-110476
Closed Access
Energy‐Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge‐Cloud Computing
Ahmad Ali, Inam Ullah, Sushil Kumar Singh, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Wind power prediction based on improved self-attention mechanism combined with Bi-directional Temporal Convolutional Network
Jian Shi, Jiashen Teh, Ching‐Ming Lai
Energy (2025), pp. 135666-135666
Closed Access
Security anomaly detection for enterprise management network based on attention mechanism
Z Y You, Y. Zheng
Frontiers in Physics (2025) Vol. 13
Open 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
Multi-source temporal attention fusion network (MTAFN) for driving risk assessment based on naturalistic driving data
Congcong Bai, Chengcheng Yang, Donglei Rong, et al.
Expert Systems with Applications (2025), pp. 127502-127502
Closed Access
A two-stage framework for predicting the remaining useful life of bearings
Xianbiao Zhan, Zixuan Liu, Hao Yan, et al.
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting
Shen Fang, Wei Ji, Shiming Xiang, et al.
Information Fusion (2024) Vol. 106, pp. 102241-102241
Closed Access | Times Cited: 3
Pi-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction
Ting Wang, Dong Ngoduy, Guojian Zou, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125144-125144
Closed Access | Times Cited: 3
Improved Artificial Rabbits Optimization with Ensemble Learning-Based Traffic Flow Monitoring on Intelligent Transportation System
Mahmoud Ragab, Hesham A. Abdushkour, Louai A. Maghrabi, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12601-12601
Open Access | Times Cited: 7
STGWN: Enhanced spatiotemporal wave forecasting using multiscale features
Aming Yue, Wenhua Wu
Applied Ocean Research (2024) Vol. 145, pp. 103923-103923
Closed Access | Times Cited: 2
Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction
Dongjin Yu, Gangming Guo, Dongjing Wang, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124187-124187
Closed Access | Times Cited: 2
Short-Term Traffic Flow Forecasting Method Based on Secondary Decomposition and Conventional Neural Network–Transformer
Qichun Bing, Panpan Zhao, Canzheng Ren, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4567-4567
Open Access | Times Cited: 2
A Survey of Traffic Flow Prediction Methods Based on Long Short-Term Memory Networks
Bao‐Lin Ye, Shuang‐Nan Zhang, Lingxi Li, et al.
IEEE Intelligent Transportation Systems Magazine (2024) Vol. 16, Iss. 5, pp. 87-112
Closed Access | Times Cited: 2
Prediction of High-Speed Traffic Flow around City Based on BO-XGBoost Model
Xin Lü, Chen Cai, RuiDan Gao, et al.
Symmetry (2023) Vol. 15, Iss. 7, pp. 1453-1453
Open Access | Times Cited: 6
A TSENet Model for Predicting Cellular Network Traffic
Jianbin Wang, Lei Shen, Weiming Fan
(2024)
Open Access | Times Cited: 1
A TSENet Model for Predicting Cellular Network Traffic
Jianbin Wang, Lei Shen, Weiming Fan
Sensors (2024) Vol. 24, Iss. 6, pp. 1713-1713
Open Access | Times Cited: 1
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
Hongtai Yang, Junbo Jiang, Zhan Zhao, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124466-124466
Closed Access | Times Cited: 1
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