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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:

Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning
Leonardo F. Arias-Rodriguez, Ulaş Firat Tüzün, Zheng Duan, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1390-1390
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Application of Remote Sensing Technology in Water Quality Monitoring: From Traditional Approaches to Artificial Intelligence
Yuan Sun, Denghui Wang, P. R. Li, et al.
Water Research (2024) Vol. 267, pp. 122546-122546
Closed Access | Times Cited: 14
A framework for validating watershed ecosystem service models in the United States using long-term water quality data: Applications with the InVEST Nutrient Delivery (NDR) model in Puerto Rico
Mariam Valladares-Castellanos, Rebeca de Jesús Crespo, Y. Jun Xu, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 175111-175111
Open Access | Times Cited: 10
Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring
Sabastian Simbarashe Mukonza, Jie‐Lun Chiang
Environments (2023) Vol. 10, Iss. 10, pp. 170-170
Open Access | Times Cited: 19
Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5121-5136
Open Access | Times Cited: 6
Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions
Lai Lai, Yuchen Liu, Yuchao Zhang, et al.
Water Research (2024) Vol. 267, pp. 122457-122457
Closed Access | Times Cited: 5
Estimation of Water Quality Parameters through a Combination of Deep Learning and Remote Sensing Techniques in a Lake in Southern Chile
Lien Rodríguez‐López, David Francisco Bustos Usta, Iongel Duran-Llacer, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4157-4157
Open Access | Times Cited: 13
Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models
Eden T. Wasehun, Leila Hashemi-Beni, Courtney A. Di Vittorio, et al.
Ecological Informatics (2024), pp. 102988-102988
Open Access | Times Cited: 4
Trends in remote sensing of water quality parameters in inland water bodies: a systematic review
Sinesipho Ngamile, Sabelo Madonsela, Mahlatse Kganyago
Frontiers in Environmental Science (2025) Vol. 13
Open Access
A General Spectral Bandpass Adjustment Function (SBAF) for Harmonizing Landsat-Sentinel over Inland and Coastal Waters
Thainara Munhoz Alexandre de Lima, Vitor S. Martins, Rejane S. Paulino, et al.
Science of Remote Sensing (2025), pp. 100225-100225
Open Access
A review of studies on assessing water quality parameters based on the Google Earth Engine imagery
Yusef Kheyruri, Ahmad Sharafati, Reza Farzad, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101581-101581
Closed Access
Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico
Freddy Hernán Villota-González, Belkis Sulbarán-Rangel, Florentina Zurita, et al.
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5505-5505
Open Access | Times Cited: 9
A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality
Mir Talas Mahammad Diganta, Md Galal Uddin, Tomasz Dabrowski, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177180-177180
Closed Access | Times Cited: 3
Water quality estimates using machine learning techniques in an experimental watershed
David de Andrade Costa, Yared Bayissa, Kargean Vianna Barbosa, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2798-2814
Closed Access | Times Cited: 3
Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management
Ying Deng, Yue Zhang, Daiwei Pan, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4196-4196
Open Access | Times Cited: 3
Global-Scale Chlorophyll-A Monitoring for Inland Lake Water Quality Framework: Advancements, Machine Learning Models, and Transferability Challenges
Aung Chit Moe, Khim Cathleen Saddi, Ruodan Zhuang, et al.
(2025)
Closed Access
Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data
Md. Abdullah Al Mamun, Xiao Yang
Ecological Informatics (2025), pp. 103087-103087
Open Access
Spectro-environmental factors integrated ensemble learning for urban river network water quality remote sensing
Xiaoteng Zhou, Chun Liu, Daniela Carrión, et al.
Water Research (2024) Vol. 267, pp. 122544-122544
Closed Access | Times Cited: 2
An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea
Antonia Ivanda, Ljiljana Šerić, Dušan Žagar, et al.
Big Earth Data (2023) Vol. 8, Iss. 1, pp. 82-114
Open Access | Times Cited: 5
An investigation into water quality monitoring models using remote sensing
Eric Ness, Arooj Fatima, Mahdi Maktabdar Oghaz, et al.
International Journal of Remote Sensing (2024), pp. 1-31
Open Access | Times Cited: 1
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Kwang Jin Kim, Woo Hyeon Park, Yongchul Shin, et al.
Hydrology (2024) Vol. 11, Iss. 11, pp. 183-183
Open Access | Times Cited: 1
Remote sensing estimation of water transparency for Saguling Dam in the past decade (2013-2022) based on Landsat 8
Dion Awfa, Aditya Nugroho Wicaksono, Raden Putra, et al.
E3S Web of Conferences (2024) Vol. 485, pp. 03003-03003
Open Access
Local Binary Pattern and RVFL for Covid-19 Diagnosis
Mengke Wang
(2024), pp. 325-343
Closed Access
Study on Remote Sensing Estimation of Ammonia Nitrogen in Fuxian Lake
艳飞 汤
Advances in Environmental Protection (2024) Vol. 14, Iss. 03, pp. 418-429
Closed Access
LAQUA: a LAndsat water QUality retrieval tool for east African lakes
Aidan Byrne, Davide Lomeo, Winnie Owoko, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2903-2903
Open Access
Assessing the Impact of Environmental Conditions on Reflectance Values in Inland Waters Using Multispectral UAS Imagery
Daniel Henrique Carneiro Salim, Gabriela Rabelo Andrade, Alexandre Assunção, et al.
Limnological Review (2024) Vol. 24, Iss. 4, pp. 466-490
Open Access
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