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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:

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction
Yinxin Bao, Jiali Liu, Qin-Qin Shen, et al.
Information Sciences (2023) Vol. 634, pp. 359-381
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

SimRE: Simple contrastive learning with soft logical rule for knowledge graph embedding
Dong Zhang, Zhe Rong, Chengyuan Xue, et al.
Information Sciences (2024) Vol. 661, pp. 120069-120069
Closed Access | Times Cited: 10
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
Developing a time-series speed prediction model using Transformer networks for freeway interchange areas
Ling Wu, Yuanqing Wang, Jianbei Liu, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108860-108860
Closed Access | Times Cited: 17
Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction
Chen Huang, Deshan Chen, Tengze Fan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108301-108301
Closed Access | Times Cited: 5
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training
Hui Cong, Qiguo Sun, Xibei Yang, et al.
Information Sciences (2024) Vol. 676, pp. 120831-120831
Closed Access | Times Cited: 5
Rep-ViG-Apple: A CNN-GCN Hybrid Model for Apple Detection in Complex Orchard Environments
Bo Han, Ziao Lu, Jingjing Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1733-1733
Open Access | Times Cited: 5
Dynamic Spatiotemporal Correlation Graph Convolutional Network for Traffic Speed Prediction
Chenyang Cao, Yinxin Bao, Quan Shi, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 308-308
Open Access | Times Cited: 4
Tempered fractional neural grey system model with Hermite orthogonal polynomial
Zhenguo Xu, Caixia Liu, Tingting Liang
Alexandria Engineering Journal (2025) Vol. 123, pp. 403-414
Closed Access
Adaptive spatial-temporal dependence graph convolution neural network for traffic flow prediction
Guojun He, Wei Huang, Yiting Zhu, et al.
Expert Systems with Applications (2025), pp. 127564-127564
Closed Access
Dynamic and Multi-Graph Approaches for Connected Traffic Flow Prediction
Quan Shi, Yinxin Bao, Qin-Qin Shen, et al.
Wireless networks (2025), pp. 105-139
Closed Access
Graph Neural Networks with Direct Reach to Labeled Nodes
Qing Teng, Qihang Guo, Xibei Yang, et al.
Lecture notes in computer science (2025), pp. 443-455
Closed Access
Enhanced Periodicity Feature Detection for Deep Learning Based Sequential Data Prediction
Yinuo Wang, Tao Shen, Zongbao Zhang, et al.
Lecture notes in electrical engineering (2025), pp. 284-295
Closed Access
MLSTAM: A multidimensional long-term spatio-temporal attention model for traffic flow forecasting by capturing time series correlations
X. D. Liu, Yuan Jiang, Xiaohui Huang, et al.
Intelligent Data Analysis (2025)
Closed Access
Interactive dynamic diffusion graph convolutional network for traffic flow prediction
Shuai Zhang, Wangzhi Yu, Wenyu Zhang
Information Sciences (2024) Vol. 677, pp. 120938-120938
Closed Access | Times Cited: 3
ISTGCN: Integrated spatio-temporal modeling for traffic prediction using traffic graph convolution network
Arti Gupta, Manish Kumar Maurya, Nikhil Goyal, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 29153-29168
Closed Access | Times Cited: 6
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Lincan Li, Jichao Bi, Kaixiang Yang, et al.
Information Sciences (2024) Vol. 677, pp. 120911-120911
Closed Access | Times Cited: 2
Multi-view fusion neural network for traffic demand prediction
Dongran Zhang, Jun Li
Information Sciences (2023) Vol. 646, pp. 119303-119303
Closed Access | Times Cited: 5
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
Xian Yu, Yinxin Bao, Quan Shi
PeerJ Computer Science (2024) Vol. 10, pp. e1913-e1913
Open Access | Times Cited: 1
Generalized spatial–temporal regression graph convolutional transformer for traffic forecasting
Lang Xiong, Liyun Su, Shiyi Zeng, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 7943-7964
Open Access | Times Cited: 1
Multi-dynamic residual graph convolutional network with global feature enhancement for traffic flow prediction
X. Li, Xiang Yin, Xiaoling Huang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
MGHCN: Multi-graph structures and hypergraph convolutional networks for traffic flow prediction
Xuanxuan Fan, Kaiyuan Qi, Dong Wu, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 221-237
Open Access | Times Cited: 1
A shared multi-scale lightweight convolution generative network for few-shot multivariate time series forecasting
Minglan Zhang, Linfu Sun, Jing Yang, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112420-112420
Closed Access | Times Cited: 1
Spatio-temporal Contextual Conditions Causality and Spread Delay-aware Modeling for Traffic Flow Prediction
Yijun Xiong, Huajun Wang
IEEE Access (2024) Vol. 12, pp. 21250-21261
Open Access
Statistical analysis of urban traffic flow using deep learning
Quanzhi Liu, Shuang Wu, Peng Zhang
Informatica (2024) Vol. 48, Iss. 5
Open Access
Bidirectional Multi-grain Graph Convolution Network for Origin-Destination Demand Prediction
Zhi Liu, Deju Zhang, Jixin Bian, et al.
Communications in computer and information science (2024), pp. 78-94
Closed Access
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