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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 spatio-temporal sequence-to-sequence network for traffic flow prediction
Shuqin Cao, Libing Wu, Jia Wu, et al.
Information Sciences (2022) Vol. 610, pp. 185-203
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

GNN-based long and short term preference modeling for next-location prediction
Jinbo Liu, Yunliang Chen, Xiaohui Huang, et al.
Information Sciences (2023) Vol. 629, pp. 1-14
Closed Access | Times Cited: 75
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: 74
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: 67
Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting
Qianqian Ren, Li Yang, Yong Liu
Expert Systems with Applications (2023) Vol. 227, pp. 120203-120203
Closed Access | Times Cited: 46
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: 24
RGDAN: A random graph diffusion attention network for traffic prediction
Jin Fan, Wenchao Weng, Hao Tian, et al.
Neural Networks (2024) Vol. 172, pp. 106093-106093
Closed Access | Times Cited: 12
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Yan Li, Maohan Liang, Huanhuan Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107012-107012
Open Access | Times Cited: 20
Enhancing time series forecasting: A hierarchical transformer with probabilistic decomposition representation
Junlong Tong, Liping Xie, Wankou Yang, et al.
Information Sciences (2023) Vol. 647, pp. 119410-119410
Closed Access | Times Cited: 19
Discrete log anomaly detection: A novel time-aware graph-based link prediction approach
Lejing Yan, Chao Luo, Rui Shao
Information Sciences (2023) Vol. 647, pp. 119576-119576
Closed Access | Times Cited: 17
A spatial-temporal attention method for the prediction of multi ship time headways using AIS data
Quandang Ma, Xu Du, Mingyang Zhang, et al.
Ocean Engineering (2024) Vol. 311, pp. 118927-118927
Open Access | Times Cited: 4
Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks
Mingguo Qiu, Shuhua Mao, Junwei Zhu, et al.
Accident Analysis & Prevention (2025) Vol. 211, pp. 107911-107911
Closed Access
Future-heuristic Differential Graph Transformer for Traffic Flow Forecasting
Dewei Bai, Dawen Xia, Xiaoping Wu, et al.
Information Sciences (2025) Vol. 701, pp. 121852-121852
Closed Access
BSAformer: bidirectional sequence splitting aggregation attention mechanism for long term series forecasting
Qingbo Zhu, Jialin Han, Sheng Yang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 4
Open Access
Deep multi-view information-powered vessel traffic flow prediction for intelligent transportation management
Huanhuan Li, Yu Zhang, Yan Li, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104072-104072
Open Access
Urban regional function guided traffic flow prediction
Kuo Wang, LingBo Liu, Yang Liu, et al.
Information Sciences (2023) Vol. 634, pp. 308-320
Open Access | Times Cited: 12
A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping
Wenbin Xing, Jingbo Wang, Kaiwen Zhou, et al.
Ocean Engineering (2023) Vol. 286, pp. 115687-115687
Open Access | Times Cited: 10
Role-aware random walk for network embedding
Hegui Zhang, Gang Kou, Yi Peng, et al.
Information Sciences (2023) Vol. 652, pp. 119765-119765
Open Access | Times Cited: 10
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: 3
Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Xianwang Li, Deqiang He, et al.
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 19785-19806
Closed Access | Times Cited: 8
Short-term traffic flow prediction model based on a shared weight gate recurrent unit neural network
Xiaoyong Sun, Fenghao Chen, Yuchen Wang, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 618, pp. 128650-128650
Closed Access | Times Cited: 7
PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion
Chen Wang, Kaizhong Zuo, Shaokun Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14580-14597
Closed Access | Times Cited: 7
STFEformer: Spatial–Temporal Fusion Embedding Transformer for Traffic Flow Prediction
Hanqing Yang, Sen Wei, Yuanqing Wang
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4325-4325
Open Access | Times Cited: 2
Spatial-temporal graph neural network based on gated convolution and topological attention for traffic flow prediction
Dewei Bai, Dawen Xia, Dan Huang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30843-30864
Closed Access | Times Cited: 6
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
Network-level short-term traffic state prediction incorporating critical nodes: A knowledge-based deep fusion approach
Haipeng Cui, Shukai Chen, Hua Wang, et al.
Information Sciences (2024) Vol. 662, pp. 120215-120215
Closed Access | Times Cited: 1
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