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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:

GE-STDGN: a novel spatio-temporal weather prediction model based on graph evolution
Qingjian Ni, Yuhui Wang, Yifei Fang
Applied Intelligence (2021) Vol. 52, Iss. 7, pp. 7638-7652
Closed Access | Times Cited: 14

Showing 14 citing articles:

MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Qingjian Ni, Xuehan Cao
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105232-105232
Closed Access | Times Cited: 41
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting
Minbo Ma, Peng Xie, Fei Teng, et al.
Information Sciences (2023) Vol. 648, pp. 119580-119580
Closed Access | Times Cited: 27
Graph Neural Network for Spatiotemporal Data: Methods and Applications
Yun Li, Dazhou Yu, Zhenke Liu, et al.
(2024)
Open Access | Times Cited: 5
Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, John Scott, et al.
International Journal of River Basin Management (2024), pp. 1-18
Closed Access | Times Cited: 4
Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction
Qingjian Ni, Yuhui Wang, Jiayi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107080-107080
Closed Access | Times Cited: 8
Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
Imtiaz Ahmed, Ahmed Shoyeb Raihan
Springer optimization and its applications (2024), pp. 125-166
Closed Access | Times Cited: 1
A Short‐Term Regional Precipitation Prediction Model Based on Wind‐Improved Spatiotemporal Convolutional Network
Yunan Qiu, Zhenyu Lu, Haibo Tang
Earth and Space Science (2022) Vol. 9, Iss. 9
Open Access | Times Cited: 5
Dual-channel spatial–temporal difference graph neural network for PM$$_{2.5}$$ forecasting
Xiaocao Ouyang, Yan Yang, Shujun Zhang, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7475-7494
Closed Access | Times Cited: 4
Atmospheric Prediction Model Based on Multi-Graph Spatiotemporal Convolutional Network
Ruixiang Song, Yunfeng Li, Qingbo Yu, et al.
(2024), pp. 664-668
Closed Access
Multiple stocks recommendation: a spatio-temporal hypergraph learning approach
Xin Kong, Chao Luo, Gao Baozhong
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6466-6482
Closed Access
Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks
Hyeon-Ju Jeon, J. S. Kang, In‐Hyuk Kwon, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045036-045036
Open Access
Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method
Emna Krichene, Wael Ouarda, Habib Chabchoub, et al.
Applied Intelligence (2022) Vol. 53, Iss. 6, pp. 7254-7277
Open Access | Times Cited: 2
Grain Temperature Prediction based on Gated Recurrent Unit Deep Fusion Model
Shancheng Tao, Bingchan Li, Ren‐Xu Chen, et al.
Procedia Computer Science (2022) Vol. 214, pp. 763-770
Open Access | Times Cited: 2
GMLN: Global-Local Multi-channel Learning Network for Spatiotemporal Prediction
Haoran Wang, Zhe Zhao, Hongbo Zhang, et al.
2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) (2022), pp. 53-57
Closed Access
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