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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 Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms
Dilip Kumar Roy, Tasnia Hossain Munmun, Chitra Rani Paul, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3624-3624
Open Access | Times Cited: 10

Showing 10 citing articles:

Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 29
Modeling Dynamic Processes in the Black Sea Pelagic Habitat—Causal Connections between Abiotic and Biotic Factors in Two Climate Change Scenarios
Luminiţa Lazăr, Laura Boicenco, Elena Pantea, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1849-1849
Open Access | Times Cited: 6
Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area
Dilip Roy, Chitra Rani Paul, Md. Panjarul Haque, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Evaluating machine learning methods for predicting groundwater fluctuations using GRACE satellite in arid and semi-arid regions
Mobin Eftekhari, Abbas Khashei‐Siuki
Journal of Groundwater Science and Engineering (2025) Vol. 13, Iss. 1, pp. 5-21
Open Access
Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites
Ghazaleh Ramezani, Ixchel Ocampo, Ion Stiharu, et al.
Micromachines (2025) Vol. 16, Iss. 4, pp. 393-393
Open Access
Bee-inspired insights: Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction
Okan Mert Katipoğlu, Babak Mohammadi, Mehdi Keblouti
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 3
Improving carbon flux estimation in tea plantation ecosystems: A machine learning ensemble approach
Ali Raza, Yongguang Hu, Yongzong Lu
European Journal of Agronomy (2024) Vol. 160, pp. 127297-127297
Closed Access | Times Cited: 3
Ensemble of Machine Learning Algorithms for Rice Grain Yield Prediction Using UAV-Based Remote Sensing
Tapash Kumar Sarkar, Dilip Kumar Roy, Ye-Seong Kang, et al.
Journal of Biosystems Engineering (2023) Vol. 49, Iss. 1, pp. 1-19
Closed Access | Times Cited: 7
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
Prediction of groundwater fluctuations in Chengalpattu district through machine learning
Praseetha N.S. Ninu, P. Kaythry, P. Sangeetha, et al.
MATEC Web of Conferences (2024) Vol. 400, pp. 02012-02012
Open Access
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