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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 graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting
Wenyu Zhang, Kun Zhu, Shuai Zhang, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109028-109028
Closed Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

Spatial-temporal gated graph convolutional network: a new deep learning framework for long-term traffic speed forecasting
Dongping Zhang, Hao Lan, Zhennan Ma, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 6, pp. 10437-10450
Closed Access | Times Cited: 4
PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
Zhenxin Li, Yong Han, Zhenyu Xu, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 6, pp. 241-241
Open Access | Times Cited: 4
A human-like action learning process: Progressive pose generation for motion prediction
Jinkai Li, Jinghua Wang, Ciwei Kuang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 110948-110948
Closed Access | Times Cited: 4
Wind Farm Cluster Power Prediction Based on Graph Deviation Attention Network with Learnable Graph Structure and Dynamic Error Correction During Load Peak and Valley Periods
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Energy (2024), pp. 133645-133645
Closed Access | Times Cited: 1
A generative adversarial network-based framework for network-wide travel time reliability prediction
Feng Shao, Hu Shao, Dongle Wang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111184-111184
Closed Access | Times Cited: 3
Dynamic Spatio-Temporal Graph Fusion Convolutional Network for Urban Traffic Prediction
Haodong Ma, Xizhong Qin, Yuan Jia, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9304-9304
Open Access | Times Cited: 2
Traffic State Prediction for Urban Networks: A Spatial–Temporal Transformer Network Model
Xinkai Ji, Peipei Mao, Yu Han
Journal of Transportation Engineering Part A Systems (2023) Vol. 149, Iss. 11
Closed Access | Times Cited: 2
Bus-Passenger-Flow Prediction Model Based on WPD, Attention Mechanism, and Bi-LSTM
Yulong Pei, Songmin Ran, W. J. Wang, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14889-14889
Open Access | Times Cited: 2
Advanced Graph Convolutional Networks for Semantic Relationship Mining in Large-Scale Ontologies
R. Anuradha, B Swathi, Rakesh Kumar, et al.
(2024) Vol. 2189, pp. 1-6
Closed Access
A dual branch graph neural network based spatial interpolation method for traffic data inference in unobserved locations
Wujiang Zhu, Xinyuan Zhou, Shiyong Lan, et al.
Information Fusion (2024), pp. 102703-102703
Closed Access
A novel spatio-temporal feature interleaved contrast learning neural network from a robustness perspective
Peng Liu, Yaodong Zhu, Yang Yang, et al.
Knowledge-Based Systems (2024), pp. 112788-112788
Closed Access
A dynamic graph convolutional network-based framework for the unsteady operating states recognition of multi-product pipeline systems
Li Zhang, Lin Fan, Jianjun Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109785-109785
Closed Access
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction
Wenzheng Liu, Hongtao Li, Haina Zhang, et al.
Information Fusion (2024), pp. 102845-102845
Closed Access
Traffic flow prediction based on electric alarm data analysis
Xin Li, Fulu Wei, Xueshi Ma, et al.
Journal of Environmental Science Computer Science and Engineering & Technology (2022) Vol. 11, Iss. 4
Open Access | Times Cited: 1
APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting
Bowen Zhang, Bohan Li, Jinzhan Wei, et al.
Lecture notes in computer science (2023), pp. 3-20
Closed Access
Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting
Ruoxuan Zhu, Qian Yi, Zheng Hui, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-10
Closed Access
St-Anode: Forecasting Traffic Flow with Graph-Based Spatial-Temporal Anode Neural Network
Zihao Chu, Wenming Ma, Mingqi Li
(2023)
Closed Access
Spatial-Temporal Dynamic Fusion Graph Convolutional Network for Traffic Forecasting
Xing Ju, Xingsheng Xie, YU Yong-fu
(2023), pp. 709-713
Closed Access
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