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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:

Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction
Xiaojian Hu, Tong Liu, Xiatong Hao, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 10, pp. 12686-12709
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting
Hanen Balti, Ali Ben Abbes, Imed Riadh Farah
Soft Computing (2024) Vol. 28, Iss. 9-10, pp. 6775-6786
Closed Access | Times Cited: 11
A novel partial grey prediction model based on traffic flow wave equation and its application
Huiming Duan, Qiqi Zhou
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108142-108142
Closed Access | Times Cited: 7
Estimating urban PM2.5 concentration: An analysis on the nonlinear effects of explanatory variables based on gradient boosted regression tree
Xiatong Hao, Xiaojian Hu, Tong Liu, et al.
Urban Climate (2022) Vol. 44, pp. 101172-101172
Closed Access | Times Cited: 33
Prediction of Multi-Site PM2.5 Concentrations in Beijing Using CNN-Bi LSTM with CBAM
Dong Li, Jiping Liu, Yangyang Zhao
Atmosphere (2022) Vol. 13, Iss. 10, pp. 1719-1719
Open Access | Times Cited: 30
3DGCformer: 3-Dimensional Graph Convolutional transformer for multi-step origin–destination matrix forecasting
Yiou Huang, Hao Deng, Shengjie Zhao
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 15
A lifetime prediction model based on two-path convolution with attention mechanism and bidirectional long short-term memory network
Xianbin Sun, Meiqi Dong, Lin Bai, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056120-056120
Closed Access | Times Cited: 4
Traffic factor dual-state network: a novel framework for spatial–temporal traffic flow prediction
Lu Gan, Weibin Zhang, Yingyue Dong
Transportmetrica A Transport Science (2025), pp. 1-36
Closed Access
Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters
Ziyi Su, Tong Liu, Xiatong Hao, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 16, pp. 18293-18312
Closed Access | Times Cited: 12
In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review
Yuxin He, Ping Huang, Weihang Hong, et al.
Algorithms (2024) Vol. 17, Iss. 9, pp. 398-398
Open Access | Times Cited: 3
A Multi-Source Intelligent Fusion Assessment Method for Dynamic Construction Risk of Subway Deep Foundation Pit: A Case Study
Bo Wu, Yajie Wan, Shixiang Xu, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10162-10162
Open Access | Times Cited: 7
RSAB-ConvGRU: A hybrid deep-learning method for traffic flow prediction
Dawen Xia, Yan Chen, Wenyong Zhang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 20559-20585
Closed Access | Times Cited: 7
Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning
Bao‐Lin Ye, Shiwei Zhu, Lingxi Li, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Multistep traffic speed prediction: A sequence-to-sequence spatio-temporal attention model
Dixiong Yang, Hong Li, Peng Wang, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 638, pp. 129636-129636
Closed Access | Times Cited: 2
Research on out-of-sample prediction method of water quality parameters based on dual-attention mechanism
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Environmental Modelling & Software (2024) Vol. 176, pp. 106020-106020
Closed Access | Times Cited: 2
Construction and improvement of English vocabulary learning model integrating spiking neural network and convolutional long short-term memory algorithm
Yunxia Wang
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299425-e0299425
Open Access | Times Cited: 2
An adaptive composite time series forecasting model for short-term traffic flow
Qitan Shao, Xinglin Piao, Xiangyu Yao, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Research on the impact of entry points on urban arterial roads in the framework of Kerner’s three-phase traffic theory
Xiaojian Hu, Longqi Qiao, Xiatong Hao, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 605, pp. 127962-127962
Closed Access | Times Cited: 11
A Novel Hybrid Model of CEEMDAN-CNN-SAGU for Shanghai Copper Price Prediction
Jingyang Wang, Bolin Dai, Tianhu Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 25176-25187
Open Access | Times Cited: 1
Application of K-Shell Algorithm in Key Point Identification and Cascading Failure in Urban Public Safety Transportation Network
Xiaohu You, Ren Yuan
IEEE Access (2024) Vol. 12, pp. 32152-32163
Open Access | Times Cited: 1
The significance of the convolutional deep learning model in the intelligent collaborative correction of English writing
Hong Wang
3C Tecnología_Glosas de innovación aplicadas a la pyme (2023) Vol. 12, Iss. 01, pp. 142-157
Open Access | Times Cited: 3
Urban Road Traffic Flow Prediction with Attention-Based Convolutional Bidirectional Long Short-Term Memory Networks
Zhi‐Quan Liu, Yao Hu, Xiangying Ding
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2677, Iss. 7, pp. 449-458
Closed Access | Times Cited: 2
Application of surveying and mapping technology based on deep learning model in petroleum geological exploration
Sheng Sun, Ping Shu
3C Tecnología_Glosas de innovación aplicadas a la pyme (2023) Vol. 12, Iss. 01, pp. 159-174
Open Access | Times Cited: 2
Research on spatio-temporal network prediction model of parallel–series traffic flow based on Transformer and GCAT
Changfeng Zhu, Chunxiao Yu, Jiuyuan Huo
Physica A Statistical Mechanics and its Applications (2022) Vol. 610, pp. 128414-128414
Closed Access | Times Cited: 3
CBGA: A deep learning method for power grid communication networks service activity prediction
Shangdong Liu, Longfei Zhou, Sisi Shao, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15408-15428
Open Access
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