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:

Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow Forecasting by IoT Loop Detectors
Boyu Huang, Haowen Dou, Yu Luo, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 2, pp. 1642-1653
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting
Weiwei Fang, Wenhao Zhuo, Youyi Song, et al.
Neurocomputing (2023) Vol. 526, pp. 180-190
Closed Access | Times Cited: 33

SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting
Zhenwei Zhang, Linghang Meng, Yuantao Gu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18435-18448
Open Access | Times Cited: 8

Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting
Zequan Li, Jinglin Zhou, Zhizhe Lin, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111946-111946
Closed Access | Times Cited: 7

Error-distribution-free kernel extreme learning machine for traffic flow forecasting
Keer Wu, Changhong Xu, Jingwen Yan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106411-106411
Closed Access | Times Cited: 18

A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction
Jinhua Xu, Yuran Li, Wenbo Lu, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 641, pp. 129746-129746
Closed Access | Times Cited: 5

Traffic flow prediction based on the RETGCN model
Hong Zhang, Gang Yang, Hailiang Yu, et al.
Computing (2025) Vol. 107, Iss. 1
Closed Access

Variational mode decomposition and sample entropy optimization based transformer framework for cloud resource load prediction
Jia‐Xian Zhu, Weihua Bai, Jialing Zhao, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111042-111042
Closed Access | Times Cited: 14

Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis
Chenlong Feng, Chao Liu, Dongxiang Jiang
Knowledge-Based Systems (2024) Vol. 295, pp. 111838-111838
Closed Access | Times Cited: 4

Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 4

Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction
Weijian Xu, Jingjin Liu, Jingwen Yan, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 8019-8029
Closed Access | Times Cited: 7

Spatial–Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow Forecasting
Wu Di, Kai Peng, Shangguang Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14267-14281
Closed Access | Times Cited: 6

Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer
Li Shen, Yuning Wei, Yangzhu Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14344-14356
Open Access | Times Cited: 5

Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Hong Zhang, Hongyan Wang, Linlong Chen, et al.
International Journal of Automotive Technology (2024) Vol. 25, Iss. 3, pp. 455-468
Closed Access | Times Cited: 1

Predicting Industrial Electricity Consumption Using Industry–Geography Relationships: A Graph-Based Machine Learning Approach
Xiangpeng Zhan, Xiaorui Qian, Wei Liu, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4296-4296
Open Access | Times Cited: 1

Multivariate time series classification based on spatial-temporal attention dynamic graph neural network
Lipeng Qian, Qiong Zuo, Haiguang Liu, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1

Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting
Kai Li, Weihua Bai, Shaowei Huang, et al.
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 2, pp. 244-257
Open Access | Times Cited: 3

Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting
Xin Li, Linfeng Li, Boyu Huang, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12670-12670
Open Access | Times Cited: 4

Predicting Traffic Flow with Deep Learning
Nishtha Srivastava, R. Devarakonda, Ruthwik, et al.
Lecture notes in networks and systems (2024), pp. 527-541
Closed Access

Spatial-Temporal Selective State Space (St-Mamba) Model for Traffic Flow Prediction
Shao Zhiiqi, Michael G.H. Bell, Ze Wang, et al.
(2024)
Closed Access

STC-PSSA: A New Model of Traffic Flow Forecasting Based on Spatiotemporal Convolution and Probabilistic Sparse Self-Attention
Hong Zhang, Linbiao Chen, Xijun Zhang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access

Adaptive data processing framework for efficient short-term traffic flow prediction
Zonghan Li, Yangbo Wei, Yixian Zhang, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 17, pp. 15231-15249
Closed Access

Prediction of the pressure fluctuations in by-product gas pipeline networks in iron and steel enterprises using a spatiotemporal method
Shuangchun Jiang, Wenqi Zhong, Guanwen Zhou
Powder Technology (2024) Vol. 445, pp. 120116-120116
Closed Access

Localization of False Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network
Yu Yang, Chensheng Liu, Luolin Xiong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 23, pp. 37571-37581
Closed Access

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