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 Hybrid Model for Runoff Prediction Using Variational Mode Decomposition and Artificial Neural Network
Muhammad Sibtain, Xianshan Li, Hassan Bashir, et al.
Water Resources (2021) Vol. 48, Iss. 5, pp. 701-712
Closed Access | Times Cited: 14
Muhammad Sibtain, Xianshan Li, Hassan Bashir, et al.
Water Resources (2021) Vol. 48, Iss. 5, pp. 701-712
Closed Access | Times Cited: 14
Showing 14 citing articles:
Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Gray Wolf Optimizer-Based Long Short-term Memory Neural Networks
Bao-Jian Li, Guoliang Sun, Yan Liu, et al.
Water Resources Management (2022) Vol. 36, Iss. 6, pp. 2095-2115
Closed Access | Times Cited: 49
Bao-Jian Li, Guoliang Sun, Yan Liu, et al.
Water Resources Management (2022) Vol. 36, Iss. 6, pp. 2095-2115
Closed Access | Times Cited: 49
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
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
A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction
Xin Guo, Wenjing Li, Junfei Qiao
Applied Soft Computing (2023) Vol. 145, pp. 110559-110559
Closed Access | Times Cited: 14
Xin Guo, Wenjing Li, Junfei Qiao
Applied Soft Computing (2023) Vol. 145, pp. 110559-110559
Closed Access | Times Cited: 14
Short-term water quality prediction of reclaimed water plant effluent and key measurement sections based on a surrogate prediction model
Jing Feng, Yu Tian, Peng Li, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 125147-125147
Closed Access
Jing Feng, Yu Tian, Peng Li, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 125147-125147
Closed Access
Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions
Awad M. Ali, Mohammed Abdallah, Babak Mohammadi, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102337-102337
Closed Access
Awad M. Ali, Mohammed Abdallah, Babak Mohammadi, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102337-102337
Closed Access
Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 8
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 8
A Hybrid Model of Ensemble Empirical Mode Decomposition and Sparrow Search Algorithm-Based Long Short-Term Memory Neural Networks for Monthly Runoff Forecasting
Baojian Li, Jingxin Yang, Qingyuan Luo, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 11
Baojian Li, Jingxin Yang, Qingyuan Luo, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 11
Monthly runoff prediction by a multivariate hybrid model based on decomposition-normality and Lasso regression
Yan Kang, Xiao Cheng, Peiru Chen, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 10, pp. 27743-27762
Closed Access | Times Cited: 6
Yan Kang, Xiao Cheng, Peiru Chen, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 10, pp. 27743-27762
Closed Access | Times Cited: 6
Combining Standard Artificial Intelligence Models, Pre-Processing Techniques, and Post-Processing Methods to Improve the Accuracy of Monthly Runoff Predictions in Karst-Area Watersheds
Chongxun Mo, Changhao Jiang, Xingbi Lei, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 88-88
Open Access | Times Cited: 5
Chongxun Mo, Changhao Jiang, Xingbi Lei, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 88-88
Open Access | Times Cited: 5
Flood Forecasting Method Based on Improved VMD-FOS-QR-RBL
Yang Liu, Wang Li-hu, Shuaibing Du, et al.
IEEE Access (2022) Vol. 11, pp. 4207-4218
Open Access | Times Cited: 3
Yang Liu, Wang Li-hu, Shuaibing Du, et al.
IEEE Access (2022) Vol. 11, pp. 4207-4218
Open Access | Times Cited: 3
A Hybrid Forecasting Model to Simulate the Runoff of the Upper Heihe River
Huazhu Xue, Hui Wu, Guotao Dong, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7819-7819
Open Access | Times Cited: 1
Huazhu Xue, Hui Wu, Guotao Dong, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7819-7819
Open Access | Times Cited: 1
Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Grey Wolf Optimizer Based Long Short-term Memory Neural Networks
Baojian Li, Guoliang Sun, Yan Liu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Baojian Li, Guoliang Sun, Yan Liu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Study on the Annual Runoff Forecast Model of the Main Stream of Nanxi River Based on PSO-ANFIS
Huifang Guo, Jian Meng, Hairong Huang, et al.
Strategic Planning for Energy and the Environment (2023)
Open Access
Huifang Guo, Jian Meng, Hairong Huang, et al.
Strategic Planning for Energy and the Environment (2023)
Open Access
Research on Runoff Flow Prediction Based on Variational Mode Decomposition and PSO-SVM Model
Ping Zhou, Dongwei Yang, Rongxin Wang, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 3770-3775
Closed Access
Ping Zhou, Dongwei Yang, Rongxin Wang, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 3770-3775
Closed Access
