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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 new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 90
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: 73
Ensemble reinforcement learning: A survey
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 26
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 25
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Chengqing Yu, Fei Wang, Zezhi Shao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3989-4000
Open Access | Times Cited: 11
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Information Sciences (2024) Vol. 661, pp. 120150-120150
Closed Access | Times Cited: 10
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for Air Quality Prediction
Chengqing Yu, Fei Wang, Yilun Wang, et al.
Information Fusion (2024) Vol. 113, pp. 102607-102607
Closed Access | Times Cited: 8
Measuring and Modelling the Concentration of Vehicle-Related PM2.5 and PM10 Emissions Based on Neural Networks
Vladimir Shepelev, Aleksandr Glushkov, Ivan Slobodin, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1144-1144
Open Access | Times Cited: 12
A novel AQI forecasting method based on fusing temporal correlation forecasting with spatial correlation forecasting
Mengshuai Su, Hui Liu, Chengqing Yu, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101717-101717
Closed Access | Times Cited: 12
Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation
Yong Shi, Yi Qu, Zhensong Chen, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 2, pp. 786-801
Closed Access | Times Cited: 10
Traffic Flow Prediction Model Based on Multi-Period Spatial-Temporal Stepwise Search
Dongran Zhang, Kunxiang Deng, Lihua Ran, et al.
(2025)
Closed Access
Enhancing PM2.5 modeling with reinforcement learning: dynamic ensembling of multi-graph attention networks and deep recurrent models
Sara Haghbayan, Mehdi Momeni, Behnam Tashayo
International Journal of Environmental Science and Technology (2025)
Closed Access
Emerging Trends in Graph Neural Networks for Traffic Flow Prediction: A Survey
Guangrui Fan, Aznul Qalid Md Sabri, Siti Soraya Abdul Rahman, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network
Xiwei Mi, Chengqing Yu, Xinwei Liu, et al.
Digital Signal Processing (2022) Vol. 129, pp. 103643-103643
Closed Access | Times Cited: 16
A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development
Huang Jian, Qinyu Chen, Chengqing Yu
Sustainability (2022) Vol. 14, Iss. 19, pp. 12224-12224
Open Access | Times Cited: 16
Inferring intercity freeway truck volume from the perspective of the potential destination city attractiveness
Beibei Zhang, Shifen Cheng, Yibo Zhao, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104834-104834
Closed Access | Times Cited: 8
Multiscale Graph Based Spatio-Temporal Graph Convolutional Network for Energy Consumption Prediction of Natural Gas Transmission Process
Chen Wang, Dengji Zhou, Xiaoguo Wang, et al.
Energy (2024) Vol. 307, pp. 132489-132489
Closed Access | Times Cited: 3
Lane detection based on real-time semantic segmentation for end-to-end autonomous driving under low-light conditions
Yang Liu, Yongfu Wang, Qiansheng Li
Digital Signal Processing (2024) Vol. 155, pp. 104752-104752
Closed Access | Times Cited: 3
A New Multipredictor Ensemble Decision Framework Based on Deep Reinforcement Learning for Regional GDP Prediction
Qingwen Li, Chengming Yu, Guangxi Yan
IEEE Access (2022) Vol. 10, pp. 45266-45279
Open Access | Times Cited: 14
Time-variant post-processing method for long-term numerical wind speed forecasts based on multi-region recurrent graph network
Zhu Duan, Hui Liu, Ye Li, et al.
Energy (2022) Vol. 259, pp. 125021-125021
Closed Access | Times Cited: 12
Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey
Rahul Kumar, Manish Bhanu, João Mendes‐Moreira, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-42
Closed Access | Times Cited: 2
Selective reinforcement graph mining approach for smart building energy and occupant comfort optimization
Nour Haidar, Nouredine Tamani, Yacine Ghamri-Doudane, et al.
Building and Environment (2022) Vol. 228, pp. 109806-109806
Closed Access | Times Cited: 11
An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring
Yang Zhou, Zhuojia Yang, Qiang Sun, et al.
Optik (2022) Vol. 273, pp. 170443-170443
Closed Access | Times Cited: 11
A Hybrid Traffic Forecasting Model for Urban Environments Based on Convolutional and Recurrent Neural Networks
Vladimir Shepelev, Ivan Slobodin, Zlata Almetova, et al.
Transportation research procedia (2023) Vol. 68, pp. 441-446
Open Access | Times Cited: 6
An ensemble convolutional reinforcement learning gate network for metro station PM2.5 forecasting
Chengqing Yu, Guangxi Yan, Kaiyi Ruan, et al.
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 6
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