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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:

Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam
Nam Thang Ha, Nguyen Hao Quang, Nguyen Cung Que Truong, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 12
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 26
Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia
Yong Jie Wong, Yoshihisa Shimizu, Akinori Kamiya, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 7
Closed Access | Times Cited: 69
From Fully Physical to Virtual Sensing for Water Quality Assessment: A Comprehensive Review of the Relevant State-of-the-Art
Thulane Paepae, Pitshou N. Bokoro, Kyandoghere Kyamakya
Sensors (2021) Vol. 21, Iss. 21, pp. 6971-6971
Open Access | Times Cited: 59
Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications
Kaire Toming, Hui Liu, Tuuli Soomets, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 464-464
Open Access | Times Cited: 8
Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network
Abdulrahman H. Ba-Alawi, Hanaa Aamer, Mohammed A. Al‐masni, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105494-105494
Closed Access | Times Cited: 8
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
Machine learning-based forecasting of potability of drinking water through adaptive boosting model
Surjeet Dalal, Edeh Michael Onyema, Carlos Andrés Tavera Romero, et al.
Open Chemistry (2022) Vol. 20, Iss. 1, pp. 816-828
Open Access | Times Cited: 21
Application of artificial intelligence for nutrient estimation in surface water bodies of basins with intensive agriculture
José Luis Medina-Jiménez, Leonel Ernesto Amábilis-Sosa, Kimberly Mendivil-García, et al.
Integrated Environmental Assessment and Management (2025)
Closed Access
Developing a real-time water quality simulation toolbox using machine learning and application programming interface
Gi-Hun Bang, Na-Hyeon Gwon, Min‐Jeong Cho, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124719-124719
Closed Access
Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review
Deepak L. Bhatt, Mamata Swain, Dhananjay Yadav
Journal of Contaminant Hydrology (2025) Vol. 271, pp. 104541-104541
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
Value and limitations of machine learning in high-frequency nutrient data for gap-filling, forecasting, and transport process interpretation
Victoria Barcala, Joachim Rozemeijer, Kevin Ouwerkerk, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Open Access | Times Cited: 9
Hybridized machine learning models for phosphate pollution modeling in water systems for multiple uses
Tales Humberto de Aquino Boratto, Deivid E.D. Campos, Douglas L. Fonseca, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105598-105598
Closed Access | Times Cited: 3
A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques
Thulane Paepae, Pitshou N. Bokoro, Kyandoghere Kyamakya
Sensors (2022) Vol. 22, Iss. 19, pp. 7338-7338
Open Access | Times Cited: 13
Quantification of river total phosphorus using integrative artificial intelligence models
Sungwon Kim, Youngmin Seo, Anurag Malik, et al.
Ecological Indicators (2023) Vol. 153, pp. 110437-110437
Open Access | Times Cited: 8
Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring
Thulane Paepae, Pitshou N. Bokoro, Kyandoghere Kyamakya
Sensors (2023) Vol. 23, Iss. 3, pp. 1061-1061
Open Access | Times Cited: 7
Machine learning models to predict nitrate concentration in a river basin
Diana Yaritza Dorado-Guerra, Gerald Corzo, Javier Paredes-Arquiola, et al.
Environmental Research Communications (2022) Vol. 4, Iss. 12, pp. 125012-125012
Open Access | Times Cited: 11
Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random Forest
Muhammad Arhab, Jingshui Huang
Sensors (2023) Vol. 23, Iss. 13, pp. 6057-6057
Open Access | Times Cited: 5
Health risk assessment related to cyanotoxins exposure of a community living near Tri An Reservoir, Vietnam
Thien An Dao Nguyen, Linh Nguyen, Alexis Enright, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 40, pp. 56079-56091
Closed Access | Times Cited: 10
A Grey Wolf Optimized- Stacked Ensemble Approach for Nitrate Contamination Prediction in Cauvery Delta
K Kalaivanan, J. Vellingiri
Economic and Environmental Geology (2024) Vol. 57, Iss. 3, pp. 329-342
Open Access | Times Cited: 1
Estimating Iowa’s riverine phosphorus concentrations via water quality surrogacy
Elliot Anderson, Keith E. Schilling, Chris S. Jones, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37377-e37377
Open Access | Times Cited: 1
Deep learning-based water quality index classification using stacked ensemble variational mode decomposition
V Karpagam, S. Christy, Michael Onyema Edeh
Environmental Research Communications (2024) Vol. 6, Iss. 6, pp. 065005-065005
Open Access | Times Cited: 1
Spatial-temporal evolution analysis of pollutants in Daitou River watershed based on Sentinel-2 satellite images
Yuanmao Zheng, Chenyan Wei, Haiyan Fu, et al.
Ecological Indicators (2024) Vol. 166, pp. 112436-112436
Open Access | Times Cited: 1
Ecological and human health risk assessments of cyanotoxins and heavy metals in a drinking water supply reservoir
Thanh‐Luu Pham, Trần Thành Thái, Trần Thành Thái, et al.
Journal of Water and Health (2023) Vol. 21, Iss. 8, pp. 1004-1016
Open Access | Times Cited: 3
Long-term analysis of road salt loading and transport in a rural drinking water reservoir watershed
Joshua J. Soper, Christian D. Guzmán, Emily Kumpel, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127005-127005
Closed Access | Times Cited: 6
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