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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:

River Stage Forecasting Using Multiple Additive Regression Trees
Jin-Cheng Fu, Hsiao-Yun Huang, Jiun‐Huei Jang, et al.
Water Resources Management (2019) Vol. 33, Iss. 13, pp. 4491-4507
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Predictive models for concrete properties using machine learning and deep learning approaches: A review
Mohammad Mohtasham Moein, Ashkan Saradar, Komeil Rahmati, et al.
Journal of Building Engineering (2022) Vol. 63, pp. 105444-105444
Open Access | Times Cited: 246
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa
Zhongrun Xiang, İbrahim Demir
Environmental Modelling & Software (2020) Vol. 131, pp. 104761-104761
Open Access | Times Cited: 92
Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India
Ahmed Elbeltagi, Chaitanya B. Pande, Saber Kouadri, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 17591-17605
Closed Access | Times Cited: 81
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
Ahmed Elbeltagi, Nand Lal Kushwaha, Jitendra Rajput, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3311-3334
Closed Access | Times Cited: 54
Urban inundation rapid prediction method based on multi-machine learning algorithm and rain pattern analysis
Guangzhao Chen, Jingming Hou, Yuan Liu, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131059-131059
Closed Access | Times Cited: 16
Hybrid river stage forecasting based on machine learning with empirical mode decomposition
Salim Heddam, Dinesh Kumar Vishwakarma, Salwan Ali Abed, et al.
Applied Water Science (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 13
Evaluation of Data-driven Hybrid Machine Learning Algorithms for Modelling Daily Reference Evapotranspiration
Nand Lal Kushwaha, Jitendra Rajput, D.R. Sena, et al.
ATMOSPHERE-OCEAN (2022) Vol. 60, Iss. 5, pp. 519-540
Closed Access | Times Cited: 30
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 21
Forecasting Long-Series Daily Reference Evapotranspiration Based on Best Subset Regression and Machine Learning in Egypt
Ahmed Elbeltagi, Aman Srivastava, Abdullah Hassan Al-Saeedi, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1149-1149
Open Access | Times Cited: 17
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa
Zhongrun Xiang, İbrahim Demir
EarthArXiv (California Digital Library) (2020)
Open Access | Times Cited: 33
Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central Europe
Zsolt Vizi, Bálint Batki, Luca Rátki, et al.
Environmental Sciences Europe (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 12
Identifying "At-Risk" Students: An AI-based Prediction Approach
Ghazanfar Latif, Runna Alghazo, Maura Pilotti, et al.
International Journal of Computing and Digital Systems (2022) Vol. 11, Iss. 1, pp. 1051-1059
Open Access | Times Cited: 17
Predicting the performance of pervious concrete pavements using artificial intelligence
Abdulkader El-Mir, Dana Nasr, Hilal El-Hassan
Elsevier eBooks (2025), pp. 319-343
Closed Access
Bayesian hierarchical network model for forecasting daily river stage for rainfed river networks
Naman Rastogi, Balaji Rajagopalan, Álvaro Ossandón
Journal of Hydrology (2025), pp. 132894-132894
Closed Access
Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed
Rukai Wang, Ximin Yuan, Fuchang Tian, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 2
Open Access
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
Masoud Karbasi, Mehdi Jamei, Iman Ahmadianfar, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 17
Flood susceptibility mapping using machine learning and remote sensing data in the Southern Karun Basin, Iran
Mohamad Kazemi, Fariborz Mohammadi, Mohammad Hassanzadeh Nafooti, et al.
Applied Geomatics (2024) Vol. 16, Iss. 3, pp. 731-750
Closed Access | Times Cited: 2
Modeling Short Term Rainfall Forecast Using Neural Networks, and Gaussian Process Classification Based on the SPI Drought Index
Saeed Azimi, Mehdi Azhdary Moghaddam
Water Resources Management (2020) Vol. 34, Iss. 4, pp. 1369-1405
Closed Access | Times Cited: 18
Assessment of cement characteristics affecting rheological properties of cement pastes
Ali Mardani, Murat Kankal, Sinan Nacar, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 19, pp. 12805-12826
Closed Access | Times Cited: 16
An Ensemble Flow Forecast Method Based on Autoregressive Model and Hydrological Uncertainty Processer
Xin Yang, Jianzhong Zhou, Fang Wei, et al.
Water (2020) Vol. 12, Iss. 11, pp. 3138-3138
Open Access | Times Cited: 15
Development of Advanced Data-Intelligence Models for Radial Gate Discharge Coefficient Prediction: Modeling Different Flow Scenarios
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Omer A. Alawi, Ammar Mohammed Alshammari, et al.
Water Resources Management (2023) Vol. 37, Iss. 14, pp. 5677-5705
Closed Access | Times Cited: 5
Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps
Jiun‐Huei Jang, Petr Vohnicky, Yen‐Lien Kuo
Water Resources Management (2021) Vol. 35, Iss. 7, pp. 2215-2230
Closed Access | Times Cited: 9
A feature-based adaptive combiner for coupling meta-modelling techniques to increase accuracy of river flow prediction
Ehsan Ebrahimi, Mojtaba Shourian
Hydrological Sciences Journal (2022) Vol. 67, Iss. 14, pp. 2065-2081
Closed Access | Times Cited: 6
High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies
Yuan-Fong Su, Yan-Ting Lin, Jiun‐Huei Jang, et al.
Frontiers in Earth Science (2022) Vol. 9
Open Access | Times Cited: 5
Enhancing monthly streamflow forecasting for Brazilian hydropower plants through climate index integration with stochastic methods
Thiago Lappicy, Carlos Lima
RBRH (2023) Vol. 28
Open Access | Times Cited: 2
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