Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction
Duo Li, Joan Lasenby
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 8337-8345
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 16
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction
Haohao Qu, H. H. Kuang, Qiuxuan Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14284-14297
Open 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
Spatial–temporal dependence and similarity aware traffic flow forecasting
Mingzhi Liu, Guanfeng Liu, Lijun Sun
Information Sciences (2023) Vol. 625, pp. 81-96
Closed 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
Unravelling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China
H. H. Kuang, Xinyu Zhang, Haohao Qu, et al.
Sustainable Cities and Society (2024), pp. 105836-105836
Closed Access | Times Cited: 4
Context based spatial–temporal graph convolutional networks for traffic prediction
Chaolong Jia, Wenjing Zhang, Yumei He, et al.
Knowledge-Based Systems (2025), pp. 112933-112933
Closed Access
Heterogeneous multi-view graph gated neural networks for real-time origin-destination matrix prediction in metro systems
Fei Wu, Changjiang Zheng, Muqing Du, et al.
Transportmetrica B Transport Dynamics (2025) Vol. 13, Iss. 1
Closed Access
Attention-based spatial-temporal synchronous graph convolution networks for traffic flow forecasting
Xiaoduo Wei, Dawen Xia, Yunsong Li, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Real-time prediction model of public safety events driven by multi-source heterogeneous data
Qilin Fan, Gang Xu
Frontiers in Physics (2025) Vol. 13
Open Access
Unmanned aerial vehicle swarm-assisted reliable federated learning for traffic flow prediction
Man Zhou, Lansheng Han, Yangyang Geng
Future Generation Computer Systems (2025), pp. 107828-107828
Closed Access
A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast
Hernán Lira, Luis Martí, Nayat Sánchez-Pi
Sensors (2022) Vol. 22, Iss. 4, pp. 1486-1486
Open Access | Times Cited: 16
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Xinshao Zhang, Zhaocheng He, Yiting Zhu, et al.
Transportmetrica B Transport Dynamics (2023) Vol. 11, Iss. 1, pp. 1455-1477
Closed Access | Times Cited: 10
Advances in spatiotemporal graph neural network prediction research
Yi Wang
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2034-2066
Open Access | Times Cited: 9
STN-GCN: Spatial and Temporal Normalization Graph Convolutional Neural Networks for Traffic Flow Forecasting
Chunzhi Wang, Lu Wang, Siwei Wei, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3158-3158
Open Access | Times Cited: 9
Urban Traffic Congestion Level Prediction Using a Fusion-Based Graph Convolutional Network
Rui Feng, Heqi Cui, Qiang Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14695-14705
Closed Access | Times Cited: 9
A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction
Heyao Gao, Hongfei Jia, Qiuyang Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108242-108242
Closed Access | Times Cited: 3
Spatial–Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data
Xiao Fu, Guanyi Yu, Zhiyuan Liu
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 14661-14673
Closed Access | Times Cited: 22
Spatio‐temporal adaptive graph convolutional networks for traffic flow forecasting
Qiwei Ma, Wei Sun, Junbo Gao, et al.
IET Intelligent Transport Systems (2022) Vol. 17, Iss. 4, pp. 691-703
Closed Access | Times Cited: 15
Multi-View Multi-Attention Graph Neural Network for Traffic Flow Forecasting
Fei Wu, Changjiang Zheng, Chen Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 711-711
Open Access | Times Cited: 8
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo, Wei Shao, Hao Xue, et al.
(2023), pp. 93-104
Open Access | Times Cited: 8
ST-VGBiGRU: A Hybrid Model for Traffic Flow Prediction With Spatio-Temporal Multimodality
Lisheng Yin, Pan Liu, Yangyang Wu, et al.
IEEE Access (2023) Vol. 11, pp. 54968-54985
Open Access | Times Cited: 8
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed
Guojian Zou, Ziliang Lai, Ting Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121548-121548
Closed Access | Times Cited: 8
PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion
Chen Wang, Kaizhong Zuo, Shaokun Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14580-14597
Closed Access | Times Cited: 7
Multi-Stage Fusion Framework for Short-Term Passenger Flow Forecasting in Urban Rail Transit Systems Using Multi-Source Data
Yijie Chen, Jinlei Zhang, Lu Yuan, et al.
Transportation Research Record Journal of the Transportation Research Board (2024) Vol. 2678, Iss. 9, pp. 18-36
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top