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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:

DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting
Kyung‐Eun Lee, Wonjong Rhee
Transportation Research Part C Emerging Technologies (2021) Vol. 134, pp. 103466-103466
Open Access | Times Cited: 101

Showing 51-75 of 101 citing articles:

Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations
Thomas Bapaume, Étienne Côme, Mostafa Ameli, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 153, pp. 104195-104195
Closed Access | Times Cited: 6
Metro Station functional clustering and dual-view recurrent graph convolutional network for metro passenger flow prediction
Hao Fang, Chi‐Hua Chen, Feng-Jang Hwang, et al.
Expert Systems with Applications (2023) Vol. 247, pp. 122550-122550
Closed Access | Times Cited: 6
Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data
Jie Zeng, Jinjun Tang
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 4, pp. 4173-4188
Closed Access | Times Cited: 9
An improved convolutional network capturing spatial heterogeneity and correlation for crowd flow prediction
Hengyu Zhang, Yuewen Liu, Yuquan Xu, et al.
Expert Systems with Applications (2023) Vol. 220, pp. 119702-119702
Closed Access | Times Cited: 5
Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction
Song Zhang, Yanbing Liu, Yunpeng Xiao, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 8996-9010
Open Access | Times Cited: 8
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Spatio-Temporal Traffic Flow Prediction Based on Coordinated Attention
Min Li, Mengshan Li, Bilong Liu, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7394-7394
Open Access | Times Cited: 8
Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder–Decoder Model
Zheng Yan, Wenquan Li, Wen Zheng, et al.
IEEE Intelligent Transportation Systems Magazine (2022) Vol. 15, Iss. 3, pp. 51-67
Closed Access | Times Cited: 8
Exploring Delay Propagation Causality in Various Airport Networks with Attention-Weighted Recurrent Graph Convolution Method
Jiawei Kang, Shangwen Yang, Xiaoxuan Shan, et al.
Aerospace (2023) Vol. 10, Iss. 5, pp. 453-453
Open 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
An Urban Metro Section Flow Forecasting Method Combining Time Series Decomposition and a Generative Adversarial Network
Maosheng Li, Chen Zhang
Sustainability (2024) Vol. 16, Iss. 2, pp. 607-607
Open Access | Times Cited: 1
An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems
Jinlei Zhang, Ergang Shan, Lixia Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12605-12620
Closed 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
Heterogeneous Spatio-Temporal Series Forecasting Using Dynamic Graph Neural Networks for Flood Prediction
Jiange Jiang, Chen Chen, Long Wang, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 1963-1968
Closed Access | Times Cited: 1
How to build vibrant communities by utilizing functional zones? A community-detection-based approach for revealing the association between land use and community vibrancy
He Hao, Enjian Yao, Yang Yang, et al.
Cities (2024) Vol. 155, pp. 105431-105431
Closed Access | Times Cited: 1
Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning
Gabriela Lewenfus, Wallace A. Martins, Symeon Chatzinotas, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 761-773
Open Access | Times Cited: 9
Multibranch Adaptive Fusion Graph Convolutional Network for Traffic Flow Prediction
Xin Zan, Jasmine Siu Lee Lam
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 3
Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions
Zhixiang He, Jia-Dong Zhang, Chi-Yin Chow, et al.
(2023)
Closed Access | Times Cited: 3
Deep learning framework for forecasting en route airspace emissions considering temporal-spatial correlation
Junqiang Wan, Honghai Zhang, Qiqian Zhang, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 166986-166986
Closed Access | Times Cited: 3
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
IEEE Access (2023) Vol. 11, pp. 136478-136495
Open Access | Times Cited: 3
Enhanced edge convolution-based spatial-temporal network for network traffic prediction
Zehua Hu, Ke Ruan, Weihao Yu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22031-22043
Closed Access | Times Cited: 2
Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk prediction
Lanjun Luo, Boxiao Li, Chao Qi
Risk Analysis (2023) Vol. 44, Iss. 6, pp. 1514-1534
Closed Access | Times Cited: 2
Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting
Bisheng He, Yongjun Zhu, Andrea D’Ariano, et al.
Operations Research Forum (2023) Vol. 4, Iss. 4
Closed Access | Times Cited: 2
Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network
Fujun Wang, Jun Bi, Dongfan Xie, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 158, pp. 104414-104414
Open Access | Times Cited: 2
Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on Lpr Data
Jie Zeng, Jinjun Tang
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 4

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