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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:

An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical mode decomposition
Wenchuan Wang, Qi Cheng, Kwok‐wing Chau, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129460-129460
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A compound approach for ten-day runoff prediction by coupling wavelet denoising, attention mechanism, and LSTM based on GPU parallel acceleration technology
Yiyang Wang, Wenchuan Wang, Dongmei Xu, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1281-1299
Closed Access | Times Cited: 16
A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121719-121719
Closed Access | Times Cited: 34
An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy
Dongmei Xu, Zong Li, Wenchuan Wang
Journal of Hydrology (2023) Vol. 629, pp. 130558-130558
Closed Access | Times Cited: 32
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 13
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
Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
Dong-mei Xu, An-dong Liao, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 255-283
Open Access | Times Cited: 19
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
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Jun Wang, Wenchuan Wang, Xiao-xue Hu, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1425-1453
Open Access | Times Cited: 6
A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure
Yi-yang Wang, Wenchuan Wang, Dongmei Xu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131482-131482
Closed Access | Times Cited: 6
A novel daily runoff forecasting model based on global features and enhanced local feature interpretation
Dongmei Xu, Yang-hao Hong, Wenchuan Wang, et al.
Journal of Hydrology (2024), pp. 132227-132227
Closed Access | Times Cited: 5
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
Twin extreme learning machine model and cooperation search algorithm for multi-step-ahead point and interval runoff prediction
Zhong-kai Feng, Pan Liu, Wen-jing Niu, et al.
Journal of Hydrology (2025), pp. 132778-132778
Closed Access
Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios
Miao He, Xian Xu, Shaofei Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning
Zhongfeng Zhao, Xueni Wang, Hua Jin, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Assessment of hybrid kernel function in extreme support vector regression model for streamflow time series forecasting based on a bayesian estimator decomposition algorithm
Peng Shi, Lei Xu, Simin Qu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110514-110514
Closed Access
Asymmetric spillover and network connectedness of policy uncertainty, fossil fuel energy, and global ESG investment
Ling Lin, Yong Jiang, Zhongbao Zhou
Applied Energy (2024) Vol. 368, pp. 123432-123432
Closed Access | Times Cited: 4
Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
Nguyen Van Thieu, Ngoc Hung Nguyen, Mohsen Sherif, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Prediction of reference crop evapotranspiration based on improved convolutional neural network (CNN) and long short-term memory network (LSTM) models in Northeast China
Menghang Li, Qingyun Zhou, Xin Han, et al.
Journal of Hydrology (2024), pp. 132223-132223
Closed Access | Times Cited: 4
LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China
Yan Guo, Lifeng Zhang, Yi He, et al.
Journal of Hydrology (2023) Vol. 629, pp. 130518-130518
Closed Access | Times Cited: 10
Monthly Runoff Prediction for Xijiang River via Gated Recurrent Unit, Discrete Wavelet Transform, and Variational Modal Decomposition
Yuanyuan Yang, Weiyan Li, Dengfeng Liu
Water (2024) Vol. 16, Iss. 11, pp. 1552-1552
Open Access | Times Cited: 3
Runoff Prediction of Tunxi Basin under Projected Climate Changes Based on Lumped Hydrological Models with Various Model Parameter Optimization Strategies
Bing Yan, Yicheng Gu, En Li, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6897-6897
Open Access | Times Cited: 3
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 hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan
Manzu Gerald Simon Kenyi, Kayoko Yamamoto
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access | Times Cited: 2
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