Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 26-50 of 35 citing articles:

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
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
Citizen Science Applications for Water Quality Monitoring. A Review
Umer Saleem, Mourad Oussalah, Ali Torabi Highighi
(2024)
Open Access
Citizen Science Applications for Water Quality Monitoring. A Review
Umer Saleem, Ali Torabi Haghighi, Bjørn Kløve, et al.
(2024)
Open Access
Application of Machine Learning Algorithms for the Estimation of the Concentration of Total Suspended Solids in the Colorado River Using Landsat 8 Operational Land Imager Data
Godson Ebenezer Adjovu, Haroon Stephen, Sajjad Ahmad
World Environmental and Water Resources Congress 2011 (2024), pp. 1424-1442
Closed Access
Predicting Water Purity by Riding the Ensemble Waves with Gradient Boosting Classification Technique
Ruchika Bhuria, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1365-1368
Closed Access
Application of Machine Learning in Modeling the Relationship between Catchment Attributes and Instream Water Quality in Data-Scarce Regions
Miljan Kovačević, Bahman Jabbarian Amiri, Silva Lozančić, et al.
Toxics (2023) Vol. 11, Iss. 12, pp. 996-996
Open Access | Times Cited: 1
Model Prediktif Pertumbuhan Fitoplankton di Waduk Saguling Berbasis Artificial Neural Network
Misbul Hadi, Prayatni Soewondo, Faizal Immaddudin Wira Rohmat, et al.
Jurnal Serambi Engineering (2023) Vol. 8, Iss. 3
Open Access
Development of Basin-Scale Total Nitrogen Prediction Model by Integration of Clustering and Regression
Su Han Nam, Siyoon Kwon, Young‐Do Kim
(2023)
Closed Access
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.
Research Square (Research Square) (2023)
Open Access
Previous Page - Page 2

Scroll to top