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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:

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
Wenchao Weng, Jin Fan, Huifeng Wu, et al.
Pattern Recognition (2023) Vol. 142, pp. 109670-109670
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 124
High–low frequency dynamic interactive fusion network for multivariate time series forecasting
Chengci Wang, Zhuolin Li, Jie Yu, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112951-112951
Closed Access | Times Cited: 1
State of charge prediction for lithium-ion batteries based on multi-process scale encoding and adaptive graph convolution
Hongyan Wang, Wei Wu, Langfu Cui, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115482-115482
Closed Access | Times Cited: 1
LLM Multimodal Traffic Accident Forecasting
I. de Zarzà, J. de Curtò, Gemma Roig, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9225-9225
Open Access | Times Cited: 27
Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network
Ayad Ghany Ismaeel, K. A. Janardhanan, Manishankar Sankar, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14522-14522
Open Access | Times Cited: 25
Towards integrated and fine-grained traffic forecasting: A Spatio-Temporal Heterogeneous Graph Transformer approach
Guangyue Li, Zilong Zhao, Xiaogang Guo, et al.
Information Fusion (2023) Vol. 102, pp. 102063-102063
Closed Access | Times Cited: 16
STFGCN: Spatial–temporal fusion graph convolutional network for traffic prediction
Hao Li, Jie Liu, Shiyuan Han, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124648-124648
Closed Access | Times Cited: 6
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
DSTAN: attention-enhanced dynamic spatial-temporal network for traffic forecasting
Xunlian Luo, Chun Jiang Zhu, Detian Zhang, et al.
World Wide Web (2025) Vol. 28, Iss. 1
Closed Access
Evolutionary structure learning on temporal networks using von Neumann entropy
Shenglong Liu, Yingyue Zhang, Qiyao Huang, et al.
Pattern Recognition (2025), pp. 111370-111370
Closed Access
Multi-scale fusion dynamic graph convolutional recurrent network for traffic forecasting
Junbi Xiao, Wenjing Zhang, Wenchao Weng, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting
Feng Jiang, Xingyu Han, Shiping Wen, et al.
Knowledge-Based Systems (2025), pp. 113115-113115
Closed Access
Multi-Subgraph Fusion: An Innovative Approach for Block Matrix Graph Convolutional Networks
Kai-Biao Lin, Shaorong Chen, Runze Chen, et al.
Research Square (Research Square) (2025)
Closed Access
SDSINet: A spatiotemporal dual-scale interaction network for traffic prediction
Shiyu Yang, Qunyong Wu
Applied Soft Computing (2025), pp. 112892-112892
Closed Access
Graph Neural Networks for multivariate time-series forecasting via learning hierarchical spatiotemporal dependencies
Zhou Zhou, Ronisha Basker, Dit-Yan Yeung
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110304-110304
Open Access
Big time series data forecasting based on deep autoencoding and clustering
Hossein Abbasimehr, Ali Noshad
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Multimodal urban traffic flow prediction based on time series imaging
Qiang Lv, Lijuan Liu, Ruotong Yang, et al.
Pattern Recognition (2025), pp. 111499-111499
Closed Access
MoGERNN: An inductive traffic predictor for unobserved locations
Qishen Zhou, Yifan Zhang, Michail Makridis, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 174, pp. 105080-105080
Closed Access
Graph convolution networks based on adaptive spatiotemporal attention for traffic flow forecasting
Hongbo Xiao, Beiji Zou, Jianhua Xiao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
LCDFormer: Long-term correlations dual-graph transformer for traffic forecasting
J. Cai, Chia‐Hung Wang, Kun Hu
Expert Systems with Applications (2024) Vol. 249, pp. 123721-123721
Closed Access | Times Cited: 4
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder
Akinlolu Oluwabusayo Ojo, Nizar Bouguila
Pattern Recognition (2023) Vol. 146, pp. 110037-110037
Closed Access | Times Cited: 10
A dynamic spatial distributed information clustering method for aluminum electrolysis cell
Yubo Sun, Weihua Gui, Xiaofang Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106793-106793
Closed Access | Times Cited: 9
Spatio-temporal graph attention networks for traffic prediction
Chuang Ma, Yan Li, Guangxia Xu
Transportation Letters (2023) Vol. 16, Iss. 9, pp. 978-988
Closed Access | Times Cited: 9
Backbone-based dynamic spatio-temporal graph neural network for epidemic forecasting
Junkai Mao, Yuexing Han, Gouhei Tanaka, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111952-111952
Closed Access | Times Cited: 2
Spatial–Temporal Traffic Flow Prediction With Fusion Graph Convolution Network and Enhanced Gated Recurrent Units
Chuang Cai, Zhijian Qu, Liqun Ma, et al.
IEEE Access (2024) Vol. 12, pp. 56477-56491
Open Access | Times Cited: 2
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