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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:

Using Random Forest, a machine learning approach to predict nitrogen, phosphorus, and sediment event mean concentrations in urban runoff
Mina Shahed Behrouz, Mohammad Nayeb Yazdi, David J. Sample
Journal of Environmental Management (2022) Vol. 317, pp. 115412-115412
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Zhaocai Wang, Nannan Xu, Xiaoguang Bao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106091-106091
Closed Access | Times Cited: 35
Impacts of watershed and meteorological characteristics on stream water quality resilience
Yujin Park, Se-Rin Park, Sang‐Woo Lee, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132663-132663
Closed Access | Times Cited: 1
Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118924-118924
Closed Access | Times Cited: 13
Parameterization of nutrients and sediment build-up/wash-off processes for simulating stormwater quality from specific land uses
Mina Shahed Behrouz, David J. Sample, Ben K. Odhiambo, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120768-120768
Closed Access | Times Cited: 5
Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123305-123305
Open Access | Times Cited: 5
A novel framework for tracking hydrological processes and identifying key factors in mountain-lowland mixed catchments: Implications of forty years of modeling for water management
Renhua Yan, Lingling Li, Junfeng Gao
Water Research (2025) Vol. 279, pp. 123424-123424
Closed Access
Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada
Ahmed Elsayed, Jana Levison, Andrew Binns, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Simulations of Snowmelt Runoff in a High-Altitude Mountainous Area Based on Big Data and Machine Learning Models: Taking the Xiying River Basin as an Example
Guoyu Wang, Xiaohua Hao, Xiaojun Yao, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1118-1118
Open Access | Times Cited: 12
Monitoring water quality parameters in urban rivers using multi-source data and machine learning approach
Yongchun Liang, Fangyu Ding, Lei Liu, et al.
Journal of Hydrology (2024), pp. 132394-132394
Closed Access | Times Cited: 4
Temperature Is a Key Factor Affecting Total Phosphorus and Total Nitrogen Concentrations in Northeastern Lakes Based on Sentinel-2 Images and Machine Learning Methods
Hua Feng Qin, Chong Fang, Ge Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 267-267
Open Access
Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest
Shubham Jain, Arun Bawa, Katie Mendoza, et al.
The Science of The Total Environment (2025) Vol. 963, pp. 178517-178517
Open Access
Surface water environmental carrying capacity and surface water quality based on economy-society-environment nexus – Evidence from China
Xingyong Li, Xiao Pu, Weimin Wang, et al.
Water-Energy Nexus (2023) Vol. 6, pp. 231-243
Open Access | Times Cited: 9
Exploring the response and prediction of phytoplankton to environmental factors in eutrophic marine areas using interpretable machine learning methods
Shimin Yang, Yuanting Ma, Jie Gao, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175600-175600
Closed Access | Times Cited: 3
The effect of land-use type and climatic conditions on heavy metal pollutants in urban runoff in a semi-arid region
Shahrokh Soltaninia, Lobat Taghavi, Seyed Abbas Hosseini, et al.
Journal of Water Reuse and Desalination (2022) Vol. 12, Iss. 4, pp. 384-402
Open Access | Times Cited: 13
Remote retrieval of dissolved organic carbon in rivers using a hyperspectral drone system
Xingjian Guo, Hao Liu, Zhong Pu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Evaluation and source identification of water pollution
Huaibin Wei, Haojie Qiu, Jing Liu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 289, pp. 117499-117499
Open Access | Times Cited: 2
Identification and verification of PCDD/Fs indicators from four typical large-scale municipal solid waste incinerations with large sample size in China
Lijun Liu, Xichao Chen, Wenhua Yin, et al.
Waste Management (2023) Vol. 172, pp. 101-107
Closed Access | Times Cited: 6
The effect of piping stream channels on dissolved oxygen concentration and ecological health
Mehdi Ketabchy, Elyce Buell, Mohammad Nayeb Yazdi, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 4
Closed Access | Times Cited: 5
Environmental regulations in the United States lead to improvements in untreated stormwater quality over four decades
Ian M. Simpson, John S. Schwartz, Jon M. Hathaway, et al.
Water Research (2023) Vol. 243, pp. 120386-120386
Closed Access | Times Cited: 4
Machine Learning Approaches for Streamflow Modeling in the Godavari Basin with CMIP6 Dataset
Subbarayan Saravanan, Nagireddy Masthan Reddy, Quoc Bao Pham, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12295-12295
Open Access | Times Cited: 4
Rapid identification of hazardous heavy metal-containing waste by combining EDXRF with machine learning: Taking zinc smelting waste as an example
Teng Jing, Yao Shi, Zuohua Liu, et al.
Resources Conservation and Recycling (2023) Vol. 198, pp. 107155-107155
Closed Access | Times Cited: 4
Integrated Application of SWAT and L-THIA Models for Nonpoint Source Pollution Assessment in Data Scarce Regions
Peiyao Zhang, Shuang Chen, Ying Dai, et al.
Water (2024) Vol. 16, Iss. 6, pp. 800-800
Open Access | Times Cited: 1
Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review
Chinedu Ekechukwu, Antonia Chatzirodou, Hazel Beaumont, et al.
Water Science & Technology (2024) Vol. 89, Iss. 8, pp. 1891-1912
Open Access | Times Cited: 1
Improving the identification of pollution source areas with catchment-resolution sensitivity analysis
Xia Li, Ling Du, Shuhui Zhang, et al.
Environmental Pollution (2024) Vol. 360, pp. 124658-124658
Closed Access | Times Cited: 1
Characterizing nitrogen deposited on urban road surfaces: Implication for stormwater runoff pollution control
Zilin Yang, Yushan Chen, Jiawei Dong, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175692-175692
Closed Access | Times Cited: 1
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