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:

A conceptual metaheuristic-based framework for improving runoff time series simulation in glacierized catchments
Babak Mohammadi, Saeed Vazifehkhah, Zheng Duan
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107302-107302
Open Access | Times Cited: 23

Showing 23 citing articles:

Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship
Özgür Kişi, Hazi Mohammad Azamathulla, Fatih Cevat, et al.
Results in Engineering (2024) Vol. 22, pp. 102017-102017
Open Access | Times Cited: 18

Analyzing spatio-temporal variability of aquatic productive components in Northern Bay of Bengal using advanced machine learning models
Jay Karmakar, Ismail Mondal, SK Ariful Hossain, et al.
Ocean & Coastal Management (2024) Vol. 251, pp. 107074-107074
Closed Access | Times Cited: 10

Novel time-lag informed deep learning framework for enhanced streamflow prediction and flood early warning in large-scale catchments
Kai Ma, Daming He, Shiyin Liu, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130841-130841
Open Access | Times Cited: 9

A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling
Bisrat Ayalew Yifru, Kyoung Jae Lim, Joo Hyun Bae, et al.
Hydrology Research (2024) Vol. 55, Iss. 4, pp. 498-518
Open Access | Times Cited: 9

Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis
Mahmood Fooladi, Mohammad Reza Nikoo, Rasoul Mirghafari, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121259-121259
Closed Access | Times Cited: 9

Spatiotemporal assessment of groundwater quality and quantity using geostatistical and ensemble artificial intelligence tools
Vahid Nourani, Amirreza Ghaffari, Nazanin Behfar, et al.
Journal of Environmental Management (2024) Vol. 355, pp. 120495-120495
Closed Access | Times Cited: 8

Analysis of the responses of surface water resources to climate change in arid and semi-arid area
Jiankun Wang, Chenfeng Cui, Zhenyu Jia, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108751-108751
Open Access | Times Cited: 5

Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
Babak Mohammadi, Mohammed Abdallah, Rachid Oucheikh, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access

Impact of climate change on the hydrological regime in a small watershed of the tropical Andean Plateau
Darwin Mena-Rentería, Carlos Peña-Guzmán, Ronal Sierra, et al.
Sustainable Water Resources Management (2025) Vol. 11, Iss. 2
Open Access

Neural Networks and Fuzzy Logic-Based Approaches for Precipitation Estimation: A Systematic Review
Andres Felipe Ruiz-Hurtado, Viviana Vargas-Franco, Luis Octavio González Salcedo
Ingeniería e Investigación (2025) Vol. 44, Iss. 3, pp. e108609-e108609
Open Access

ANALYSIS OF SWAT+ MODEL PERFORMANCE: A COMPARATIVE STUDY USING DIFFERENT SOFTWARE AND ALGORITHMS
Samanta Tolentino Cecconello, Danielle de Almeida Bressiani, Maria Cândida Moitinho Nunes, et al.
Environmental Modelling & Software (2025), pp. 106425-106425
Closed Access

Enhancing daily runoff prediction: A hybrid model combining GR6J-CemaNeige with wavelet-based gradient boosting technique
Babak Mohammadi, Mingjie Chen, Mohammad Reza Nikoo, et al.
Journal of Hydrology (2025), pp. 133114-133114
Closed Access

Assessment of land use/ land cover change derived catchment hydrologic response: An integrated parsimonious hydrological modeling and alteration analysis based approach
Sonam Sandeep Dash, Bijayalaxmi Naik, P. S. Kashyap
Journal of Environmental Management (2024) Vol. 356, pp. 120637-120637
Closed Access | Times Cited: 3

Multi-gauge calibration comparison for simulating streamflow across the Major River Basins in Madagascar: SWAT + Toolbox, R-SWAT, and SWAT + Editor Hard calibration
Rakotoarimanana Zy Harifidy, Hiroshi Ishidaira, Kazuyoshi Souma, et al.
Hydrology Research (2024) Vol. 55, Iss. 3, pp. 412-430
Open Access | Times Cited: 2

Retrieval of sea ice thickness from FY-3E data using Random Forest method
Hongying Li, Qingyun Yan, Weimin Huang
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 130-144
Closed Access | Times Cited: 2

Quality control of hourly rain gauge data based on radar and satellite multi-source data
Qiaoqiao Yan, Bingsong Zhang, Yi Jiang, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1042-1058
Open Access | Times Cited: 2

A comparative study of daily streamflow forecasting using firefly, artificial bee colony, and genetic algorithm-based artificial neural network
Hüseyin Çağan Kılınç, Bülent Haznedar, Okan Mert Katipoğlu, et al.
Acta Geophysica (2024) Vol. 72, Iss. 6, pp. 4575-4595
Closed Access | Times Cited: 2

Construction of hydrological and hydrodynamic models based on ARM architecture processor – A case study of inner Harbor area of Macao Peninsula
Haijia Zhang, Jiahong Liu, Chao Mei, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1014-1041
Open Access | Times Cited: 1

Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1

Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins
Zhonghui Guo, Chang Feng, Yang Liu, et al.
Agricultural Water Management (2024) Vol. 306, pp. 109157-109157
Open Access

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