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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:

Improving the precision of monthly runoff prediction using the combined non-stationary methods in an oasis irrigation area
Chaofei He, Fulong Chen, Aihua Long, et al.
Agricultural Water Management (2023) Vol. 279, pp. 108161-108161
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 83
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: 46
Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Zhaocai Wang, Nannan Xu, Xiaoguang Bao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106091-106091
Closed Access | Times Cited: 41
Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example
Peng Zhang, Xinyang Liu, Huiru Zhang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103007-103007
Open Access | Times Cited: 2
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: 37
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Junhao Wu, Zhaocai Wang, Jinghan Dong, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 34
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131275-131275
Closed Access | Times Cited: 17
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: 15
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Journal of Hydrology (2024), pp. 132175-132175
Closed Access | Times Cited: 12
Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China
Kun Liu, Yunfei Chen, Bin Wu, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102298-102298
Open Access | Times Cited: 1
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 | Times Cited: 1
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: 8
Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins
Haoyuan Yu, Qichun Yang
Water (2024) Vol. 16, Iss. 15, pp. 2199-2199
Open Access | Times Cited: 7
An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2089-2109
Closed Access | Times Cited: 15
Monthly-scale hydro-climatic forecasting and climate change impact evaluation based on a novel DCNN-Transformer network
Haitao Yang, Zhizheng Zhang, Xi Liu, et al.
Environmental Research (2023) Vol. 236, pp. 116821-116821
Closed Access | Times Cited: 12
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
Linking Stochastic Resonance With Long Short‐Term Memory Neural Network for Streamflow Simulation Enhancement
Xungui Li, Jian Sun, Qiyong Yang, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Enhanced rainfall-runoff modeling with hybrid machine learning and NRCS: bridging AI and hydrology
Nawbahar Faraj Mustafa
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 4
Closed Access
Monthly Runoff Prediction by Combined Models Based on Secondary Decomposition at the Wulong Hydrological Station in the Yangtze River Basin
Huaibin Wei, Yao Wang, Jing Liu, et al.
Water (2023) Vol. 15, Iss. 21, pp. 3717-3717
Open Access | Times Cited: 7
Simulation and Reconstruction of Runoff in the High-Cold Mountains Area Based on Multiple Machine Learning Models
Shuyang Wang, Meiping Sun, Guoyu Wang, et al.
Water (2023) Vol. 15, Iss. 18, pp. 3222-3222
Open Access | Times Cited: 6
An Index Used to Evaluate the Applicability of Mid-long Term Runoff Prediction in a Basin Based on Mutual Information
Shuai Xie, Zhilong Xiang, Yongqiang Wang, et al.
(2024)
Open Access | Times Cited: 1
Inconsistent Monthly Runoff Prediction Models Using Mutation Tests and Machine Learning
Miaomiao Ren, Wei Sun, Shu Chen, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5235-5254
Closed Access | Times Cited: 1
Optimizing ecological benefits in weekly-regulated hydropower plants: A framework integrating power market information
Zhiyuan Wu, Guohua Fang, Jian Ye, et al.
Renewable Energy (2024) Vol. 231, pp. 120921-120921
Closed Access | Times Cited: 1
Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions
Shujun Wu, Zengchuan Dong, Sandra M. Guzmán, et al.
Ecological Informatics (2024), pp. 102914-102914
Open Access | Times Cited: 1
An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting
Lizhi Tao, Nan Yang, Zhichao Cui, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102141-102141
Open Access | Times Cited: 1
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