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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:

Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification
Haibo Chu, Jiahua Wei, Wenyan Wu
Journal of Hydrology (2019) Vol. 580, pp. 124253-124253
Closed Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China
Haijiao Yu, Linshan Yang, Qi Feng, et al.
Hydrological Sciences Journal (2024) Vol. 69, Iss. 11, pp. 1501-1522
Closed Access | Times Cited: 2
Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106338-106338
Closed Access | Times Cited: 2
Reservoir Operation based Machine Learning Models: Comprehensive Review for Limitations, Research Gap, and Possible Future Research Direction
Ahmad Fares Al-Nouti, Minglei Fu, Neeraj Dhanraj Bokde
Knowledge-Based Engineering and Sciences (2024) Vol. 5, Iss. 2, pp. 75-139
Open Access | Times Cited: 2
Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model
W. J. M. Lakmini Prarthana Jayasinghe, Ravinesh C. Deo, Nawin Raj, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3133-3133
Open Access | Times Cited: 2
Middle- and Long-Term Streamflow Forecasting and Uncertainty Analysis Using Lasso-DBN-Bootstrap Model
Haibo Chu, Jiahua Wei, Yuan Jiang
Water Resources Management (2021) Vol. 35, Iss. 8, pp. 2617-2632
Open Access | Times Cited: 17
A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting
Muhammed Sit, Bekir Zahit Demiray, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 9
A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction
Shuang Zhu, Maoyu Zhang, Chao Wang, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 1
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
Assessment of monthly runoff simulations based on a physics-informed machine learning framework: The effect of intermediate variables in its construction
Chao Deng, Peiyuan Sun, Xin Yin, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121299-121299
Closed Access | Times Cited: 1
Modelling the Daily Concentration of Airborne Particles Using 1D Convolutional Neural Networks
Ivan Gudelj, Mario Lovrić, Emmanuel Karlo Nyarko
(2024), pp. 16-16
Open Access | Times Cited: 1
Identifying control factors of hydrological behavior through catchment classification in mainland China
Huan Xu, Hao Wang, Pan Liu
Journal of Hydrology (2024), pp. 132206-132206
Closed Access | Times Cited: 1
65-year changes of annual streamflow volumes across Europe with a focus on the Mediterranean basin
Daniele Masseroni, Stefania Camici, Alessio Cislaghi, et al.
(2020)
Open Access | Times Cited: 10
Research on the Deep Learning Technology in the Hull Form Optimization Problem
Shenglong Zhang
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 11, pp. 1735-1735
Open Access | Times Cited: 6
Conceptual hydrological model-guided SVR approach for monthly lake level reconstruction in the Tibetan Plateau
Minglei Hou, Jiahua Wei, Haibo Chu, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101271-101271
Open Access | Times Cited: 6
A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow
Prabal Das, Kironmala Chanda
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 4, pp. 1535-1556
Closed Access | Times Cited: 6
Ensemble learning of decomposition-based machine learning and deep learning models for multi-time step ahead streamflow forecasting in an arid region
Linshan Yang, Haijiao Yu, Qi Feng, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Sub-seasonal precipitation forecasts using preceding atmospheric intraseasonal oscillation signals in a Bayesian perspective
Yuan Li, Zhiyong Wu, Hai He, et al.
(2022)
Open Access | Times Cited: 5
HAVA KALİTESİ PARAMETRELERİNİN TAHMİNİ VE MEKANSAL DAĞILIMI İÇİN MAKİNE ÖĞRENMESİ YÖNTEMLERİNİN KULLANILMASI
Yeşim DOKUZ, Aslı Bozdağ, Begüm GÖKÇEK
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2020)
Open Access | Times Cited: 6
On the strategic management of an events portfolio to extend tourists’ length of stay: a LASSO approach
Brian Garrod, António Almeida
Current Issues in Tourism (2021) Vol. 26, Iss. 2, pp. 305-322
Open Access | Times Cited: 6
An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information
Shuai Xie, Zhilong Xiang, Yongqiang Wang, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1619-1619
Open Access
Developing a machine learning-based flood risk prediction model for the Indus Basin in Pakistan
Mehran Khan, Afed Ullah Khan, Basir Ullah, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2213-2225
Open Access
Evaluating the capability of hybrid data-driven approaches to forecast monthly streamflow using hydrometric and meteorological variables
Fariba Azarpira, Sajad Shahabi
Journal of Hydroinformatics (2021) Vol. 23, Iss. 6, pp. 1165-1181
Open Access | Times Cited: 3
New Double Decomposition Deep Learning Methods for Stream-Flow Water Level Forecasting Using Remote Sensing Modis Satellite Variables, Climate Indices and Observations
A. A. Masrur Ahmed, Ravinesh C. Deo, Afshin Ghahramani, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
Application of artificial neural networks model to predict the levels of sulfur dioxides in the air of Zamość, Poland
Justyna Kujawska, Monika Kulisz, Zulfiya Aubakirova
Journal of Physics Conference Series (2022) Vol. 2412, Iss. 1, pp. 012005-012005
Open Access | Times Cited: 2
Hybrid Techniques for Renewable Energy Prediction
Guilherme Santos Martins, Mateus Giesbrecht
Lecture notes in electrical engineering (2023), pp. 29-59
Closed Access

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