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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:

Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia
Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, et al.
Hydrology (2023) Vol. 10, Iss. 5, pp. 110-110
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Measurement of Total Dissolved Solids and Total Suspended Solids in Water Systems: A Review of the Issues, Conventional, and Remote Sensing Techniques
Godson Ebenezer Adjovu, Haroon Stephen, David E. James, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3534-3534
Open Access | Times Cited: 105
Predicting river water quality: An imposing engagement between machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)
Jamal Sarafaraz, Fariborz Ahmadzadeh Kaleybar, Javad Mahmoudi Karamjavan, et al.
Results in Engineering (2024) Vol. 21, pp. 101921-101921
Open Access | Times Cited: 14
A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature
Godson Ebenezer Adjovu, Haroon Stephen, Sajjad Ahmad
Water (2023) Vol. 15, Iss. 13, pp. 2439-2439
Open Access | Times Cited: 18
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: 16
Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network
Md Abdullah Al Mehedi, Achira Amur, Jessica L. Metcalf, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130076-130076
Open Access | Times Cited: 15
Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy
Mohammad Reza Nikoo, Mohammad Zamani, Mahshid Mohammad Zadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Advanced feature learning for multi-scenario rankings: The maria framework for product recommendations
M. Bommy, K. Sankara Moorthy, M. Arul Joseph Amalraj, et al.
AIP conference proceedings (2025) Vol. 3270, pp. 020238-020238
Closed Access
Development of a basin-scale total nitrogen prediction model by integrating clustering and regression methods
Su Han Nam, Siyoon Kwon, Young‐Do Kim
The Science of The Total Environment (2024) Vol. 920, pp. 170765-170765
Closed Access | Times Cited: 4
Inversion Method for Chlorophyll-a Concentration in High-Salinity Water Based on Hyperspectral Remote Sensing Data
Nan Wang, Zhiguo Wang, Pingping Huang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4181-4181
Open Access | Times Cited: 4
Integrating River Discharge and Sentinel-2 Satellite Imagery for Enhanced Turbidity Mapping in Arid Region Rivers: A Machine Learning Approach
Milad Ahmadi, Ashkan Noori, Seyed Hossein Mohajeri, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103869-103869
Closed Access
Mapping satellite-derived chlorophyll-a concentrations from 2013 to 2023 in Western Lake Ontario using Landsat 8 and 9 imagery
Ali Reza Shahvaran, Homa Kheyrollah Pour, Caren E. Binding, et al.
The Science of The Total Environment (2025) Vol. 968, pp. 178881-178881
Open 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
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
Long-Term Monitoring of Inland Water Quality Parameters Using Landsat Time-Series and Back-Propagated ANN: Assessment and Usability in a Real-Case Scenario
Gordana Jakovljević, María Flor Álvarez Taboada, Miro Govedarica
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 68-68
Open Access | Times Cited: 9
Implementation of remote sensing algorithms to estimate TOC, Chl-a, and TDS in a tropical water body; Sanalona reservoir, Sinaloa, Mexico
Alberto Quevedo-Castro, Sergio Alberto Monjardín-Armenta, Wenseslao Plata-Rocha, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 3
Machine learning approach for water quality predictions based on multispectral satellite imageries
Vicky Anand, Bakimchandra Oinam, Silke Wieprecht
Ecological Informatics (2024), pp. 102868-102868
Open Access | Times Cited: 3
Spatial and Seasonal Variability of Chlorophyll-a, Total Suspended Matter, and Colored Dissolved Organic Matter in the Sundarban Mangrove Forest Using Earth Observation and Field Data
Mosa. Tania Alim Shampa, Md. Kawser Ahmed, K M Azam Chowdhury, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38789-e38789
Open Access | Times Cited: 2
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: 2
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: 6
Predictive modelling of water clarity based on remote sensing data using artificial neural network (ANN): A case study in Saguling Reservoir, West Java, Indonesia
Annisa Ritka May, Prayatni Soewondo, Faizal Immaddudin Wira Rohmat, et al.
E3S Web of Conferences (2024) Vol. 485, pp. 03009-03009
Open Access | Times Cited: 1
Research progress in surface water quality monitoring based on remote sensing technology
Yue Zheng, Jianjun Wang, Yuriy Kondratenko, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 7, pp. 2337-2373
Closed Access | Times Cited: 1
Citizen Science Applications for Water Quality Monitoring. A Review
Umer Saleem, Ali Torabi Haghighi, Bjørn Kløve, et al.
(2024)
Open Access | Times Cited: 1
Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques
Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, et al.
Frontiers in Water (2024) Vol. 6
Open Access | Times Cited: 1
An efficient water quality index forecasting and categorization using optimized Deep Capsule Crystal Edge Graph neural network
Anusha Nanjappachetty, Suvitha Sundar, Nagaraju Vankadari, et al.
Water Environment Research (2024) Vol. 96, Iss. 10
Closed Access | Times Cited: 1
Advanced Remote Sensing and Generative Models for Comprehensive Water Quality Management in a Changing Climate
Chandrashekhara Kenkere Thopanaiah, Gireesh Babu C N, Vijayakumar Gurani, et al.
Remote Sensing in Earth Systems Sciences (2024) Vol. 7, Iss. 4, pp. 596-611
Closed Access
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