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:

Random forest-based understanding and predicting of the impacts of anthropogenic nutrient inputs on the water quality of a tropical lagoon
Xin Fang, Xiaoyan Li, Yifei Zhang, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 055003-055003
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Stream water quality prediction using boosted regression tree and random forest models
Ali O. Alnahit, Ashok K. Mishra, Abdul A. Khan
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 9, pp. 2661-2680
Closed Access | Times Cited: 115

Application of power-law committee machine to combine five machine learning algorithms for enhanced oil recovery screening
Reza Yousefzadeh, Alireza Kazemi, Rashid S. Al‐Maamari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

Comparative analysis of machine learning and statistical models for cotton yield prediction in major growing districts of Karnataka, India
M. N. Thimmegowda, M. H. Manjunatha, H. Lingaraj, et al.
Journal of Cotton Research (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1

Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed
Jagadeesh Anmala, T. Venkateswarlu
Water Environment Research (2021) Vol. 93, Iss. 11, pp. 2360-2373
Closed Access | Times Cited: 50

Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
Roshani Singh, Haroon Sajjad, Tamal Kanti Saha, et al.
Acta Geophysica (2022) Vol. 71, Iss. 1, pp. 531-552
Open Access | Times Cited: 25

Prediction of Total Nitrogen and Phosphorus in Surface Water by Deep Learning Methods Based on Multi-Scale Feature Extraction
Miao He, Shaofei Wu, Binbin Huang, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1643-1643
Open Access | Times Cited: 24

Modeling the effect of climate change scenarios on water quality for tropical reservoirs
Alberto Quevedo-Castro, Yaneth A. Bustos‐Terrones, Erick R. Bandala, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116137-116137
Closed Access | Times Cited: 23

Exploring the Impact of Land Use Scales on Water Quality Based on the Random Forest Model: A Case Study of the Shaying River Basin, China
Maofeng Weng, Xinyu Zhang, Pujian Li, et al.
Water (2024) Vol. 16, Iss. 3, pp. 420-420
Open Access | Times Cited: 5

Proposal for a new customization process for a data-based water quality index using a random forest approach
Hansaem Lee, Seonyoung Park, Hang Vo-Minh Nguyen, et al.
Environmental Pollution (2023) Vol. 323, pp. 121222-121222
Closed Access | Times Cited: 13

Aquatic System Assessment of Potentially Toxic Elements in El Manzala Lake, Egypt: A Statistical and Machine Learning Approach
Asmaa Nour Aly Al-Falal, Salah Elsayed, Ezzat A. El Fadaly, et al.
Results in Engineering (2025), pp. 105027-105027
Open Access

Research on the Application of Multimodal-Based Machine Learning Algorithms to Water Quality Classification
Lei Xin, Tianyu Mou
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 15

Concentrations, Spatial Distributions, and Origins of Natural Aliphatic Lipids and Sterols in Sediments of Obhur Lagoon, Red Sea Coast, Saudi Arabia
Ahmed I. Rushdi, Hattan A. Alharbi, Najeeb M. A. Rasul, et al.
Continental Shelf Research (2024), pp. 105370-105370
Closed Access | Times Cited: 1

Environmental factors regulating stream nitrate concentrations at baseflow condition in a large region encompassing a climatic gradient
Soyoka Makino, Naoko Tokuchi, Yukio Komai, et al.
Hydrological Processes (2021) Vol. 35, Iss. 5
Closed Access | Times Cited: 9

Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling
Lei Jia, Neil Y. Yen, Yan Pei
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 3

Ecological risk assessment of metal and hydrocarbon pollution in sediments from an urban tropical estuary: Tijuca lagoon (Rio de Janeiro, Brazil)
Matheus Teixeira, Ricardo César, Denis Moledo de Souza Abessa, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 1, pp. 184-200
Closed Access | Times Cited: 5

Assessing the impact of watershed characteristics and management on nutrient concentrations in tropical rivers using a machine learning method
Tetsuro Kikuchi, Toshihiko Anzai, T. Ouchi, et al.
Environmental Pollution (2022) Vol. 316, pp. 120599-120599
Open Access | Times Cited: 5

Incorporating water quality into land use scenario analysis with random forest models
Robert Goodspeed, Runzi Wang, Camilla Lizundia, et al.
Environment and Planning B Urban Analytics and City Science (2022) Vol. 50, Iss. 6, pp. 1518-1533
Open Access | Times Cited: 5

Pre-selection of monitoring stations for marine water quality using affinity propagation: A case study of Xincun Lagoon, hainan, China
Xin Fang, Chengshu Luo, Dongrong Zhang, et al.
Journal of Environmental Management (2022) Vol. 325, pp. 116666-116666
Closed Access | Times Cited: 4

Groundwater quality assessment by multi-model comparison: a comprehensive study during dry and wet periods in semi-arid regions
Zihan Wang, Yong Wang
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 18, pp. 51571-51594
Closed Access | Times Cited: 2

Comparative analysis of machine learning and time series models for cotton yield prediction in major growing districts of Karnataka
M. N. Thimmegowda, M. H. Manjunatha, Lingaraj Huggi, et al.
Research Square (Research Square) (2024)
Open Access

Predicting Coastal Water Quality with Machine Learning, a Case Study of Beibu Gulf, China
Yucai Bai, Zhefeng Xu, Wenlu Lan, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2253-2253
Open Access

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