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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 spatiotemporal graph convolution-based model for daily runoff prediction in a river network with non-Euclidean topological structure
Liangkun Deng, Xiang Zhang, Shiyong Tao, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 4, pp. 1457-1478
Closed Access | Times Cited: 9

Showing 9 citing articles:

A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 75
AN NMF-BASED QUALIFIED REVIEW OF THE TRENDING TOPICS IN HYDROLOGY IN THE CURRENT ERA
Sıla Övgü Korkut, Femin Yalçın, Erman Ülker
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103907-103907
Closed Access
Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Simulation of spring discharge using graph neural networks at Niangziguan Springs, China
Yujing Gai, Mingyang Wang, Yue Wu, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130079-130079
Open Access | Times Cited: 8
Traffic Flow Prediction Based on Interactive Dynamic Spatio-Temporal Graph Convolution with a Probabilistic Sparse Attention Mechanism
Linlong Chen, Linbiao Chen, Hongyan Wang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024) Vol. 2678, Iss. 9, pp. 837-853
Closed Access | Times Cited: 2
Traffic Flow Prediction Research Based on an Interactive Dynamic Spatial–Temporal Graph Convolutional Probabilistic Sparse Attention Mechanism (IDG-PSAtt)
Zijie Ding, Zhuoshi He, Zhihui Huang, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 413-413
Open Access | Times Cited: 2
Deep learning for spatiotemporal forecasting in Earth system science: a review
Manzhu Yu, Qunying Huang, Zhenlong Li
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Great lakes basin model based on physical flow and Data-Driven
Yijing Huang, Shijia Yang, Anqi Liu
Journal of Physics Conference Series (2024) Vol. 2865, Iss. 1, pp. 012019-012019
Open Access
Interpretable water level forecaster with spatiotemporal causal attention mechanisms
Sungchul Hong, Yue-Soon Choi, Jong‐June Jeon
International Journal of Forecasting (2024)
Open Access
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