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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:

Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow
Guilherme Barbosa Reis, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Journal of Environmental Management (2021) Vol. 290, pp. 112625-112625
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Recent applications of AI to environmental disciplines: A review
A Kónya, Peyman Nematzadeh
The Science of The Total Environment (2023) Vol. 906, pp. 167705-167705
Closed Access | Times Cited: 60
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130846-130846
Closed Access | Times Cited: 24
Deep Learning Approach with LSTM for Daily Streamflow Prediction in a Semi-Arid Area: A Case Study of Oum Er-Rbia River Basin, Morocco
Karima Nifa, Abdelghani Boudhar, Hamza Ouatiki, et al.
Water (2023) Vol. 15, Iss. 2, pp. 262-262
Open Access | Times Cited: 33
Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River
Ruirui Xu, Dexun Qiu, Peng Gao, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101681-101681
Open Access | Times Cited: 14
Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review
Bisrat Ayalew Yifru, Kyoung Jae Lim, Seoro Lee
Sustainability (2024) Vol. 16, Iss. 4, pp. 1376-1376
Open Access | Times Cited: 10
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
Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
Kegang Wang, Shahab S. Band, Rasoul Ameri, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1833-1848
Open Access | Times Cited: 37
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study
Rana Muhammad Adnan Ikram, Barenya Bikash Hazarika, Deepak Gupta, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 31
Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins
Tarate Suryakant Bajirao, Pravendra Kumar, Manish Kumar, et al.
Theoretical and Applied Climatology (2021) Vol. 145, Iss. 3-4, pp. 1207-1231
Closed Access | Times Cited: 31
Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11
Bias correction of the hourly satellite precipitation product using machine learning methods enhanced with high-resolution WRF meteorological simulations
Yao Nan, Jinyin Ye, Shuai Wang, et al.
Atmospheric Research (2024) Vol. 310, pp. 107637-107637
Closed Access | Times Cited: 4
Assessing influential rainfall–runoff variables to simulate daily streamflow using random forest
Federico Vilaseca, Alberto Castro, Christian Chreties, et al.
Hydrological Sciences Journal (2023) Vol. 68, Iss. 12, pp. 1738-1753
Closed Access | Times Cited: 11
Feature fusion improves performance and interpretability of machine learning models in identifying soil pollution of potentially contaminated sites
Xiaosong Lu, Junyang Du, Liping Zheng, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 259, pp. 115052-115052
Open Access | Times Cited: 10
Utilizing Deep Learning Models to Predict Streamflow
Habtamu Alemu Workneh, Manoj K. Jha
Water (2025) Vol. 17, Iss. 5, pp. 756-756
Open Access
FEATURE SELECTION METHODS FOR LSTM-BASED RIVER WATER LEVEL AND DISCHARGE FORECASTING
Almas Alzhanov, Aliya Nugumanova
Scientific Journal of Astana IT University (2025)
Open Access
Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
Niriele Bruno Rodrigues, Tatiane Oliveira Barbosa, Helena Saraiva Koenow Pinheiro, et al.
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1644-1644
Open Access
Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability
Zewei Yue, Nannan Wang, Benda Xu, et al.
Water Resources Research (2025) Vol. 61, Iss. 5
Open Access
Predictive modeling of contents of potentially toxic elements using morphometric data, proximal sensing, and chemical and physical properties of soils under mining influence
Ésio de Castro Paes, Gustavo Vieira Veloso, Aymbiré Angeletti da Fonseca, et al.
The Science of The Total Environment (2022) Vol. 817, pp. 152972-152972
Closed Access | Times Cited: 16
Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
Kai Lun Chong, Yuk Feng Huang, Chai Hoon Koo, et al.
Applied Water Science (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Enhancing the streamflow simulation of a process-based hydrological model using machine learning and multi-source data
Huajin Lei, Hongyi Li, Wanpin Hu
Ecological Informatics (2024) Vol. 82, pp. 102755-102755
Open Access | Times Cited: 3
Use of modeling to map potentially toxic elements and assess the risk to human health in soils affected by mining activity
Ésio de Castro Paes, Gustavo Vieira Veloso, David Lukas de Arruda, et al.
CATENA (2022) Vol. 220, pp. 106662-106662
Open Access | Times Cited: 13
The Brazilian semiarid region over the past 21,000 years: Vegetation dynamics in small pulses of higher humidity
Rafael César Silva, Guilherme Resende Corrêa, Daniel Meira Arruda, et al.
Ecological Informatics (2023) Vol. 77, pp. 102259-102259
Closed Access | Times Cited: 7
Machine learning models applied to TSS estimation in a reservoir using multispectral sensor onboard to RPA
Rafael Luís Silva Dias, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Ecological Informatics (2021) Vol. 65, pp. 101414-101414
Closed Access | Times Cited: 17
Characteristics and driving factors of lake level variations by climatic factors and groundwater level
Chu Wu, Xiong Wu, Chuiyu Lu, et al.
Journal of Hydrology (2022) Vol. 608, pp. 127654-127654
Closed Access | Times Cited: 12
Improving deep learning-based streamflow forecasting under trend varying conditions through evaluation of new wavelet preprocessing technique
Mohammad Reza M. Behbahani, Maryam Mazarei, Amvrossios C. Bagtzoglou
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 10, pp. 3963-3984
Closed Access | Times Cited: 2
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