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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 1-25 of 42 citing articles:

Graph Neural Network for Traffic Forecasting: The Research Progress
Weiwei Jiang, Jiayun Luo, Miao He, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 100-100
Open Access | Times Cited: 73
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: 31
Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand–Supply Imbalance Using GPS Trajectories
Haiqiang Yang, Zihan Li
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 2, pp. 34-34
Open Access | Times Cited: 13
Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction
Xiaoxia Chen, Hanzhong Xia, Min Wu, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111555-111555
Closed Access | Times Cited: 9
A new grey intelligent prediction algorithm with multiobjective correction strategy
Chong Liu, Wen-Ze Wu, Wanli Xie
Applied Mathematical Modelling (2023) Vol. 118, pp. 692-708
Closed Access | Times Cited: 14
Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting
Shengdong Du, Tao Yang, Fei Teng, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111787-111787
Closed Access | Times Cited: 6
Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting
Pritam Bikram, Shubhajyoti Das, Arindam Biswas
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2716-2749
Closed Access | Times Cited: 5
Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution
Zihao Chu, Wenming Ma, Mingqi Li, et al.
Neural Networks (2024) Vol. 179, pp. 106549-106549
Closed Access | Times Cited: 5
Static-dynamic collaborative graph convolutional network with meta-learning for node-level traffic flow prediction
Xiang Yin, Wenyu Zhang, Xin Jing
Expert Systems with Applications (2023) Vol. 227, pp. 120333-120333
Closed Access | Times Cited: 12
Temporal-aware structure-semantic-coupled graph network for traffic forecasting
Mao Chen, Liangzhe Han, Yi Xu, et al.
Information Fusion (2024) Vol. 107, pp. 102339-102339
Closed Access | Times Cited: 4
AdpSTGCN: Adaptive spatial–temporal graph convolutional network for traffic forecasting
Xudong Zhang, Xuewen Chen, Haina Tang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112295-112295
Closed Access | Times Cited: 4
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Mao Yang, Yunfeng Guo, Fulin Fan
IEEE Transactions on Sustainable Energy (2024) Vol. 16, Iss. 1, pp. 308-322
Closed Access | Times Cited: 4
Spatiotemporal dynamic graph convolutional network for traffic speed forecasting
Xiang Yin, Wenyu Zhang, Shuai Zhang
Information Sciences (2023) Vol. 641, pp. 119056-119056
Closed Access | Times Cited: 10
D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory
Linliang Zhang, Shuyun Xu, Shuo Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 561-561
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
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
Graph-based spatial-temporal prediction and feature interaction analysis of CO2 and occupant in large indoor space
Cong Huang, H.L. Kwok, Kwok Ho Poon, et al.
Building and Environment (2025), pp. 112963-112963
Closed Access
Two-way heterogeneity model for dynamic spatiotemporal traffic flow prediction
Heng Zhang, Zhizhe Lin, Haibo Xie, et al.
Knowledge-Based Systems (2025), pp. 113635-113635
Closed Access
GSTC-Unet: A U-shaped multi-scaled spatiotemporal graph convolutional network with channel self-attention mechanism for traffic flow forecasting
Wangzhi Yu, Xiaoling Huang, Yilei Qiu, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120724-120724
Closed Access | Times Cited: 9
A review of graph neural networks and pretrained language models for knowledge graph reasoning
Jiangtao Ma, Бо Лю, Kunlin Li, et al.
Neurocomputing (2024) Vol. 609, pp. 128490-128490
Closed Access | Times Cited: 3
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis
Shuyu Duan, Kun Zhu, Pengyu Song, et al.
Journal of Process Control (2023) Vol. 129, pp. 103050-103050
Closed Access | Times Cited: 8
DHGAT: Hyperbolic representation learning on dynamic graphs via attention networks
Hao Li, Hao Jiang, Dongsheng Ye, et al.
Neurocomputing (2023) Vol. 568, pp. 127038-127038
Closed Access | Times Cited: 7
Efficient implementation of a wavelet neural network model for short-term traffic flow prediction: Sensitivity analysis
Sonia Mrad, Rafaa Mraïhi, Aparna Murthy
International Journal of Transportation Science and Technology (2024)
Open Access | Times Cited: 2
ADDGCN: A Novel Approach with Down-Sampling Dynamic Graph Convolution and Multi-Head Attention for Traffic Flow Forecasting
Zuhua Li, Siwei Wei, Haibo Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4130-4130
Open Access | Times Cited: 2
A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks
Khushnood Abbas, Alireza Abbasi, Shi Dong, et al.
Entropy (2023) Vol. 25, Iss. 2, pp. 257-257
Open Access | Times Cited: 5
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