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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:

Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea
Mohammad Rezaie-Balf, Sungwon Kim, Hossein Fallah, et al.
Journal of Hydrology (2019) Vol. 572, pp. 470-485
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model
Lingling Ni, Dong Wang, Jianfeng Wu, et al.
Journal of Hydrology (2020) Vol. 586, pp. 124901-124901
Closed Access | Times Cited: 211
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 58
Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river
Thi-Thu-Hong Phan, Xuan Hoai Nguyen
Advances in Water Resources (2020) Vol. 142, pp. 103656-103656
Closed Access | Times Cited: 132
Streamflow Prediction Using Deep Learning Neural Network: Case Study of Yangtze River
Darong Liu, Wenchao Jiang, Lin Mu, et al.
IEEE Access (2020) Vol. 8, pp. 90069-90086
Open Access | Times Cited: 115
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Alireza Ghaemi, Mohammad Rezaie-Balf, Jan Adamowski, et al.
Agricultural and Forest Meteorology (2019) Vol. 278, pp. 107647-107647
Closed Access | Times Cited: 101
Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach
Mohammad Rezaie-Balf, Nasrin Fathollahzadeh Attar, Ardashir Mohammadzadeh, et al.
Journal of Cleaner Production (2020) Vol. 271, pp. 122576-122576
Open Access | Times Cited: 78
An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method
Fugang Li, Guangwen Ma, Shijun Chen, et al.
Water Resources Management (2021) Vol. 35, Iss. 9, pp. 2941-2963
Closed Access | Times Cited: 63
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
Enhancing robustness of monthly streamflow forecasting model using embedded-feature selection algorithm based on improved gray wolf optimizer
Qingjie Wang, Chunfang Yue, Xiaoqing Li, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128995-128995
Closed Access | Times Cited: 46
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
Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea
Sungwon Kim, Meysam Alizamir, Mohammad Zounemat‐Kermani, et al.
Journal of Environmental Management (2020) Vol. 270, pp. 110834-110834
Closed Access | Times Cited: 54
Which one is more important in daily runoff forecasting using data driven models: Input data, model type, preprocessing or data length?
Vahid Moosavi, Zeinab Gheisoori Fard, Mehdi Vafakhah
Journal of Hydrology (2022) Vol. 606, pp. 127429-127429
Closed Access | Times Cited: 37
Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
Kegang Wang, Shahab S. Band, Rasoul Ameri, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1833-1848
Open Access | Times Cited: 36
Application of empirical mode decomposition, particle swarm optimization, and support vector machine methods to predict stream flows
Okan Mert Katipoğlu, Sefa Nur Yeşilyurt, Yıldırım Dalkiliç, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 20
Runoff Probability Prediction Model Based on Natural Gradient Boosting with Tree-Structured Parzen Estimator Optimization
Keyan Shen, Hui Qin, Jianzhong Zhou, et al.
Water (2022) Vol. 14, Iss. 4, pp. 545-545
Open Access | Times Cited: 24
Short-term electricity load time series prediction by machine learning model via feature selection and parameter optimization using hybrid cooperation search algorithm
Wen-jing Niu, Zhong-kai Feng, Shushan Li, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 055032-055032
Open Access | Times Cited: 27
Inverse groundwater salinization modeling in a sandstone’s aquifer using stand-alone models with an improved non-linear ensemble machine learning technique
Sani I. Abba, Mohammed Benaafi, A. G. Usman, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 8162-8175
Open Access | Times Cited: 21
Unrevealing past and future vegetation restoration on the Loess Plateau and its impact on terrestrial water storage
Kai Liu, Xueke Li, Shudong Wang, et al.
Journal of Hydrology (2022) Vol. 617, pp. 129021-129021
Closed Access | Times Cited: 21
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
A weights combined model for middle and long-term streamflow forecasts and its value to hydropower maximization
Yuxue Guo, Yue‐Ping Xu, Jingkai Xie, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126794-126794
Closed Access | Times Cited: 24
Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay
Jiye Lee, Ather Abbas, Gregory W. McCarty, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128916-128916
Open Access | Times Cited: 17
Image-driven hydrological parameter coupled identification of flood plain wetland conservation and restoration sites
Swades Pal, Pankaj Singha
Journal of Environmental Management (2022) Vol. 318, pp. 115602-115602
Closed Access | Times Cited: 16
Integrating Multimodal Ensemble and Spatiotemporal Analysis for Enhanced Climate Modelling in Nigeria
David A. Olasehinde, Kamoru Akanni Adeniran, Akinwale T. Ogunrinde
(2024)
Open Access | Times Cited: 3
Coupling SWAT and Transformer Models for Enhanced Monthly Streamflow Prediction
Jiahui Tao, Yicheng Gu, Xin Yin, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8699-8699
Open Access | Times Cited: 3
A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series
Hui Hu, Jianfeng Zhang, Tao Li
Complexity (2020) Vol. 2020, pp. 1-21
Open Access | Times Cited: 27
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