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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 Precipitation Prediction Method Based on CEEMDAN-IWOA-BP Coupling
Fuping Liu, Ying Liu, Chen Yang, et al.
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4785-4797
Closed Access | Times Cited: 11

Showing 11 citing articles:

Multi-objective robust optimization of reservoir operation for real-time flood control under forecasting uncertainty
Xinting Yu, Yue‐Ping Xu, Haiting Gu, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129421-129421
Closed Access | Times Cited: 24
Modeling abrupt changes in mine water inflow trends: A CEEMDAN-based multi-model prediction approach
Dongze Yao, Shi Chen, Shuning Dong, et al.
Journal of Cleaner Production (2024) Vol. 439, pp. 140809-140809
Closed Access | Times Cited: 8
A novel model for runoff prediction based on the ICEEMDAN-NGO-LSTM coupling
Yang Chen, Yatao Jiang, Ying Liu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82179-82188
Closed Access | Times Cited: 13
A Hybrid Particle Swarm Optimization-Genetic Algorithm for Multiobjective Reservoir Ecological Dispatching
Xu Wu, Xiaojing Shen, Chuanjiang Wei, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 2229-2249
Open Access | Times Cited: 3
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Jiaxin Bian, Tao Hou, Dengjun Ren, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Load Day-Ahead Automatic Generation Control Reserve Capacity Demand Prediction Based on the Attention-BiLSTM Network Model Optimized by Improved Whale Algorithm
Bin Li, Haoran Li, Zhencheng Liang, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 415-415
Open Access | Times Cited: 2
A Combined Model for Water Quality Prediction Based on VMD-TCN-ARIMA Optimized by WSWOA
Hongyu Zuo, Xiantai Gou, Xin Wang, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4227-4227
Open Access | Times Cited: 4
Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
Amin Mahdavi‐Meymand, Wojciech Sulisz, Mohammad Zounemat‐Kermani
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1297-1340
Closed Access | Times Cited: 3
Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model
Zhipeng Lü, Kebin Shi
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4273-4284
Closed Access | Times Cited: 2
Prediction of the Dissolved Oxygen Content in Aquaculture Based on the CNN-GRU Hybrid Neural Network
Ying Ma, Qiwei Fang, Shangda Xia, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3547-3547
Open Access
Evaluation of ARIMA, Facebook Prophet and a boosting algorithm framework for monthly precipitation prediction of a semi-arid district of north Karnataka, India
C. K., Surajit Deb Barma, Nagaraj Bhat, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 1
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