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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 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

Showing 13 citing articles:

Runoff prediction using a multi-scale two-phase processing hybrid model
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access
Using tide for rainfall runoff simulation with feature projection and reversible instance normalization
Zheng Fang, Simin Qu, Xiaoqiang Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Runoff Prediction in Different Forecast Periods via a Hybrid Machine Learning Model for Ganjiang River Basin, China
Wei Wang, Shinan Tang, Jiacheng Zou, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1589-1589
Open Access | Times Cited: 2
Monthly Runoff forecasting using A Climate‑driven Model Based on Two-stage Decomposition and Optimized Support Vector Regression
Zhuo Jia, Yuhao Peng, Qin Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 14, pp. 5701-5722
Closed Access | Times Cited: 2
A singular spectrum analysis-enhanced BiTCN-selfattention model for runoff prediction
Wenchuan Wang, Feng-rui Ye, Yiyang Wang, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Interpretable and explainable hybrid model for daily streamflow prediction based on multi-factor drivers
Wuyi Wan, Yu Zhou, Yaojie Chen
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 34588-34606
Closed Access | Times Cited: 1
Enhancing streamflow prediction in the Wujiang River basin: a two-stage decomposition approach with deep learning integration
Ruichao Zhao, Zhiwen Zheng
Journal of Water and Climate Change (2024) Vol. 15, Iss. 11, pp. 5683-5697
Open Access | Times Cited: 1
Monthly Runoff Forecasting Using a Climate‑Driven Model Based on Two-Stage Decomposition and Optimized Support Vector Regression
Zhuo Jia, Yuhao Peng, Qin Li, et al.
(2024)
Closed Access
Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
Performance enhancement of mid-infrared NH3 sensor using 9.06 μm QCL based on spectral optimization and NGO-LSTM model
Guolin Li, Lupeng Jia, Enting Dong, et al.
Analytical and Bioanalytical Chemistry (2024)
Closed Access
A Method for Predicting Tool Remaining Useful Life: Utilizing BiLSTM Optimized by an Enhanced NGO Algorithm
Jianwei Wu, Jiaqi Wang, Huanguo Chen
Mathematics (2024) Vol. 12, Iss. 15, pp. 2404-2404
Open Access
A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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