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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 forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition
Wenchuan Wang, Kwok‐wing Chau, Lin Qiu, et al.
Environmental Research (2015) Vol. 139, pp. 46-54
Closed Access | Times Cited: 221

Showing 26-50 of 221 citing articles:

A Comparative Study of Groundwater Level Forecasting Using Data-Driven Models Based on Ensemble Empirical Mode Decomposition
Yicheng Gong, Zhongjing Wang, Guoyin Xu, et al.
Water (2018) Vol. 10, Iss. 6, pp. 730-730
Open Access | Times Cited: 83
Flash Flood Forecasting Using Support Vector Regression Model in a Small Mountainous Catchment
Jian Wu, Haixing Liu, Guozhen Wei, et al.
Water (2019) Vol. 11, Iss. 7, pp. 1327-1327
Open Access | Times Cited: 80
Predicting the Trend of Dissolved Oxygen Based on the kPCA-RNN Model
Yifan Zhang, Peter Fitch, Peter J. Thorburn
Water (2020) Vol. 12, Iss. 2, pp. 585-585
Open Access | Times Cited: 72
Combining two-stage decomposition based machine learning methods for annual runoff forecasting
Shu Chen, Miaomiao Ren, Wei Sun
Journal of Hydrology (2021) Vol. 603, pp. 126945-126945
Closed Access | Times Cited: 56
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: 32
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: 30
Evaluation and Interpretation of Runoff Forecasting Models Based on Hybrid Deep Neural Networks
Xin Yang, Jianzhong Zhou, Qianyi Zhang, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1987-2013
Closed Access | Times Cited: 9
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 | Times Cited: 1
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM 2.5 concentration forecasting
Mingfei Niu, Kai Gan, Shaolong Sun, et al.
Journal of Environmental Management (2017) Vol. 196, pp. 110-118
Closed Access | Times Cited: 80
Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting
Zhiyu Wang, Jun Qiu, Fang‐Fang Li
Water (2018) Vol. 10, Iss. 7, pp. 853-853
Open Access | Times Cited: 80
A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework
Zhongmin Liang, Yujie Li, Yiming Hu, et al.
Theoretical and Applied Climatology (2017) Vol. 133, Iss. 1-2, pp. 137-149
Closed Access | Times Cited: 76
Ocean Surface Wave‐Current Signatures From Satellite Altimeter Measurements
Yves Quilfen, Bertrand Chapron
Geophysical Research Letters (2018) Vol. 46, Iss. 1, pp. 253-261
Open Access | Times Cited: 74
Improved methods for estimating local terrestrial water dynamics from GRACE in the Northern High Plains
Wondwosen M. Seyoum, A. Milewski
Advances in Water Resources (2017) Vol. 110, pp. 279-290
Open Access | Times Cited: 73
Prediction of time series of NPP operating parameters using dynamic model based on BP neural network
Yong-kuo Liu, Fei Xie, Chunli Xie, et al.
Annals of Nuclear Energy (2015) Vol. 85, pp. 566-575
Closed Access | Times Cited: 72
Long-term streamflow forecasting using SWAT through the integration of the random forests precipitation generator: case study of Danjiangkou Reservoir
Zhongmin Liang, Tiantian Tang, Binquan Li, et al.
Hydrology Research (2017) Vol. 49, Iss. 5, pp. 1513-1527
Open Access | Times Cited: 64
Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff
Youngmin Seo, Sungwon Kim, Vijay P. Singh
Atmosphere (2018) Vol. 9, Iss. 7, pp. 251-251
Open Access | Times Cited: 64
A reliable linear method for modeling lake level fluctuations
Isa Ebtehaj, Hossein Bonakdari, Bahram Gharabaghi
Journal of Hydrology (2019) Vol. 570, pp. 236-250
Closed Access | Times Cited: 61
Teleconnection analysis of monthly streamflow using ensemble empirical mode decomposition
Jia Wang, Xu Wang, Xiao Hui Lei, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124411-124411
Closed Access | Times Cited: 56
Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM
Yan Cao, Meisam Babanezhad, Mashallah Rezakazemi, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 17, pp. 13313-13321
Closed Access | Times Cited: 55
A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps
Zongdong Liu, Jing Liu
Knowledge-Based Systems (2020) Vol. 203, pp. 106105-106105
Closed Access | Times Cited: 52
Groundwater level modeling with hybrid artificial intelligence techniques
Ramin Bahmani, Taha B. M. J. Ouarda
Journal of Hydrology (2020) Vol. 595, pp. 125659-125659
Closed Access | Times Cited: 51
An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia
Nawin Raj, Jason Brown
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1456-1456
Open Access | Times Cited: 49
A Comparison of BPNN, GMDH, and ARIMA for Monthly Rainfall Forecasting Based on Wavelet Packet Decomposition
Wenchuan Wang, Yujin Du, Kwok‐wing Chau, et al.
Water (2021) Vol. 13, Iss. 20, pp. 2871-2871
Open Access | Times Cited: 42
Socioeconomic and environmental factors of poverty in China using geographically weighted random forest regression model
Yaowen Luo, Jianguo Yan, Stephen C. McClure, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 22, pp. 33205-33217
Open Access | Times Cited: 35
Hydrological time series forecasting via signal decomposition and twin support vector machine using cooperation search algorithm for parameter identification
Zhong-kai Feng, Wen-jing Niu, Xinyu Wan, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128213-128213
Closed Access | Times Cited: 29

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