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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 VMD-MSMA-LSTM-ARIMA model for precipitation prediction
Xuefei Cui, Zhaocai Wang, Renlin Pei
Hydrological Sciences Journal (2023) Vol. 68, Iss. 6, pp. 810-839
Closed Access | Times Cited: 11

Showing 11 citing articles:

A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features
Rui Tan, Zhaocai Wang, Tunhua Wu, et al.
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101435-101435
Open Access | Times Cited: 28
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 5
Linking Stochastic Resonance With Long Short‐Term Memory Neural Network for Streamflow Simulation Enhancement
Xungui Li, Jian Sun, Qiyong Yang, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Research on multi-objective optimal allocation of regional water resources based on improved sparrow search algorithm
Zhiyuan Yao, Zhaocai Wang, Xuefei Cui, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 4, pp. 1413-1437
Open Access | Times Cited: 11
Learned prediction of cholesterol and glucose using ARIMA and LSTM models – A comparison
Umapathi Krishnamoorthy, V. Karthika, M K Mathumitha, et al.
Results in Control and Optimization (2023) Vol. 14, pp. 100362-100362
Open Access | Times Cited: 5
A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties
Mojtaba Poursaeid, Amir Hossein Poursaeed
Hydrological Sciences Journal (2023) Vol. 69, Iss. 2, pp. 207-225
Closed Access | Times Cited: 4
Adaptive restoration and reconstruction of incomplete flow fields based on unsupervised learning
Yangyang Sha, Yuhang Xu, Yingjie Wei, et al.
Physics of Fluids (2023) Vol. 35, Iss. 10
Closed Access | Times Cited: 2
Research on the Coupling of Regional Low-Carbon Economy and Energy Structure Based on Multi Algorithm Optimization: A Case Study of Anhui Province
Shuhang Zhao, Gang He, Zhiwei Zheng, et al.
Polish Journal of Environmental Studies (2024) Vol. 33, Iss. 4, pp. 4455-4465
Open Access
Modeling Precipitation Forecasting with Deep Learning
Tahir Mehmood, Farhad Nadi, Muhammad Yaqoob
Studies in systems, decision and control (2024), pp. 255-268
Closed Access
Prediction and Analysis of Waste Quantity of Fluorine Containing Adsorbents in Electric Power
Huan Liu, Dongyi Wan, Wei Gang, et al.
(2023), pp. 1159-1163
Closed Access
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