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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:

Examination and comparison of binary metaheuristic wrapper-based input variable selection for local and global climate information-driven one-step monthly streamflow forecasting
Kun Ren, Xue Wang, Xiaoyu Shi, et al.
Journal of Hydrology (2021) Vol. 597, pp. 126152-126152
Closed Access | Times Cited: 24

Showing 24 citing articles:

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
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative study
Fatemeh Ghobadi, Doosun Kang
Journal of Hydrology (2022) Vol. 615, pp. 128608-128608
Closed Access | Times Cited: 47
A hybrid framework based on LSTM for predicting karst spring discharge using historical data
Wenrui Zhang, Limin Duan, Tingxi Liu, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130946-130946
Closed Access | Times Cited: 11
AI‐Based Ensemble Flood Forecasts and Its Implementation in Multi‐Objective Robust Optimization Operation for Reservoir Flood Control
Yuxue Guo, Yue‐Ping Xu, Xinting Yu, et al.
Water Resources Research (2024) Vol. 60, Iss. 5
Open Access | Times Cited: 8
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia)
John Quilty, Jan Adamowski
Environmental Modelling & Software (2021) Vol. 144, pp. 105119-105119
Closed Access | Times Cited: 44
A framework of integrating heterogeneous data sources for monthly streamflow prediction using a state-of-the-art deep learning model
Wenxin Xu, Jie Chen, XC Zhang, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128599-128599
Closed Access | Times Cited: 24
Probabilistic runoff forecasting by integrating improved conceptual hydrological model with interpretable deep learning approach in a typical karst basin, Southwest China
Shufeng Lai, Chongxun Mo, Xingbi Lei, et al.
Journal of Hydrology (2025), pp. 132950-132950
Closed Access
Multi-step regional rainfall-runoff modeling using pyramidal transformer
Hanlin Yin, Zhao Xu, Xiuwei Zhang, et al.
Journal of Hydrology (2025), pp. 132935-132935
Closed Access
Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA
Jin Liu, Kun Ren, Tingzhen Ming, et al.
Acta Geophysica (2022) Vol. 71, Iss. 2, pp. 905-925
Closed Access | Times Cited: 21
Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A Multiple Case Study
Fatemeh Ghobadi, Doosun Kang
Water (2022) Vol. 14, Iss. 22, pp. 3672-3672
Open Access | Times Cited: 19
A dynamic classification-based long short-term memory network model for daily streamflow forecasting in different climate regions
Haibo Chu, Jin Wu, Wenyan Wu, et al.
Ecological Indicators (2023) Vol. 148, pp. 110092-110092
Open Access | Times Cited: 11
Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level
Saad Sh. Sammen, Mohammad Ehteram, Zohreh Sheikh Khozani, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1593-1593
Open Access | Times Cited: 11
Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11
Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data
Mojtaba Mehraein, Aadhityaa Mohanavelu, Sujay Raghavendra Naganna, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3636-3636
Open Access | Times Cited: 16
Monthly streamflow prediction using hybrid extreme learning machine optimized by bat algorithm: a case study of Cheliff watershed, Algeria
Salah Difi, Yamina Elmeddahi, Aziz Hebal, et al.
Hydrological Sciences Journal (2022) Vol. 68, Iss. 2, pp. 189-208
Closed Access | Times Cited: 14
Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 2
Improving deep learning-based streamflow forecasting under trend varying conditions through evaluation of new wavelet preprocessing technique
Mohammad Reza M. Behbahani, Maryam Mazarei, Amvrossios C. Bagtzoglou
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 10, pp. 3963-3984
Closed Access | Times Cited: 2
Evaluating the impact of improved filter-wrapper input variable selection on Long-term runoff forecasting using local and global climate information
Binlin Yang, Chen Lu, Bin Yi, et al.
Journal of Hydrology (2024), pp. 132034-132034
Closed Access | Times Cited: 2
Forecasting groundwater level of karst aquifer in a large mining area using partial mutual information and NARX hybrid model
Wenrui Zhang, Tingxi Liu, Limin Duan, et al.
Environmental Research (2022) Vol. 213, pp. 113747-113747
Closed Access | Times Cited: 10
State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting
Woon Yang Tan, Sai Hin Lai, Fang Yenn Teo, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5185-5211
Closed Access | Times Cited: 10
An evaluation of random forest based input variable selection methods for one month ahead streamflow forecasting
Wei Fang, Kun Ren, Tie-Jun Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran
Mohammad Sina Jahangir, Seyed Mostafa Biazar, David Hah, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 1, pp. 225-249
Closed Access | Times Cited: 9
A Quantitative Evaluation of Statistical Practices in Metaheuristics Research
Iannick Gagnon, Alain April, Alain Abran
(2024)
Closed Access
Estimating reference evapotranspiration using hybrid models optimized by bio-inspired algorithms combined with key meteorological factors
Hanmi Zhou, Linshuang Ma, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109862-109862
Closed Access
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