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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:

Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation
Wenchuan Wang, Bo Wang, Kwok‐wing Chau, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2373-2389
Closed Access | Times Cited: 17

Showing 17 citing articles:

Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
A Hybrid Prediction Model of Photovoltaic Power System Based on AP, Issa-Based Vmd, Clkan and Error Correction
Feifan Zheng, Ye Xu, Zhong-Yan Li, et al.
(2025)
Closed Access
Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction
Ning He, Wenchuan Wang
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Peak flow forecasting in Mahanadi River Basin using a novel hybrid VMD-FFA-RNN approach
Sanjeev Sharma, Sangeeta Kumari
Acta Geophysica (2025)
Closed Access
Short-term water demand prediction based on decomposition technique optimization and a multihead attention mechanism
Haidong Huang, Meiqiong Wu
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1589-1605
Open Access | Times Cited: 3
Multi-objective optimization method for power supply and demand balance in new power systems
Jiaxi Li, Ming Wen, Zhuomin Zhou, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 161, pp. 110204-110204
Open Access | Times Cited: 3
A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition
Xianqi Zhang, Fang Liu, Qiuwen Yin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
An improved nonlinear dynamical model for monthly runoff prediction for data scarce basins
Longxia Qian, Nanjun Liu, Mei Hong, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 10, pp. 3771-3798
Closed Access | Times Cited: 2
Multi-scale flow regimes and driving forces analysis based on different models: a case study of the Wu River basin
Hongxiang Wang, Siyuan Cheng, Ning He, et al.
Water Science & Technology Water Supply (2023) Vol. 23, Iss. 9, pp. 3978-3996
Open Access | Times Cited: 4
Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction
Xueni Wang, Jianbo Chang, Jin Hua, et al.
Water (2024) Vol. 16, Iss. 8, pp. 1179-1179
Open Access | Times Cited: 1
Research on optimal selection of runoff prediction models based on coupled machine learning methods
Wei Xing, Mengen Chen, Yulin Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
ConvFormer-KDE: A Long-Term Point–Interval Prediction Framework for PM2.5 Based on Multi-Source Spatial and Temporal Data
Shaofu Lin, Yuying Zhang, Xingjia Fei, et al.
Toxics (2024) Vol. 12, Iss. 8, pp. 554-554
Open Access
Research on Optimal Selection of Runoff Prediction Models Based on Coupled Machine Learning Methods
Wei Xing, M.M. Chen, Yulin Zhou, et al.
Research Square (Research Square) (2024)
Open Access
Short-Term Charging Load Prediction of Electric Vehicles Based on K-means Clustering WOA-BP
Qifan Chen, Yunfei Ding, Kun Tian, et al.
Mechanisms and machine science (2024), pp. 33-41
Closed Access
A probabilistic integration of LSTM and Gaussian Process Regression for uncertainty-aware reservoir water level predictions
Kshitij Tandon, Subhamoy Sen
Hydrological Sciences Journal (2024) Vol. 70, Iss. 1, pp. 144-161
Closed Access
A study on groundwater level calculation based on PCA-CIWOABP
Xiaolei Zhang, Xiaoyi Guo, Shuyu Liu, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access
A stacking ensemble machine learning model for improving monthly runoff prediction
Wenchuan Wang, M. H. Gu, Zong Li, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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