Open Access Helper

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:

Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Alfeu D. Martinho, Henrique S. Hippert, Leonardo Goliatt
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

When Are Models Useful? Revisiting the Quantification of Reality Checks
Demetris Koutsoyiannis
Water (2025) Vol. 17, Iss. 2, pp. 264-264
Open Access
Enhancing seasonal streamflow prediction using multistage hybrid stochastic data-driven deep learning methodology with deep feature selection
Asif Iqbal, Tanveer Ahmed Siddiqi
Environmental and Ecological Statistics (2025)
Closed Access
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling
Özgür Kişi, Salim Heddam, Kulwinder Singh Parmar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Nature-Inspired Intelligent Computing: A Comprehensive Survey
Licheng Jiao, Jiaxuan Zhao, Chao Wang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 3
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
Routing attacks detection in MANET using trust management enabled hybrid machine learning
G. Arulselvan, A. Rajaram
Wireless Networks (2024)
Closed Access | Times Cited: 2
Enhancing prediction accuracy and data handling for environmental applications in innovative modeling of underground water level fluctuations based on tree ensembles technique
Duong Thi Kim, Do Dac Thiem, Trinh Quynh, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Ensemble Deep and Machine Learning for Improving Short-Term Water Demand Forecast in Cities
Paul Toto, Michael Kimwele, Richard Rimiru
2021 IST-Africa Conference (IST-Africa) (2024), pp. 1-9
Closed Access
A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Prediction of water levels in large reservoirs base on optimization of deep learning algorithms
Haoran Li, Lili Zhang, Yunsheng Yao, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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