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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:

Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty
Saiful Haque Rahat, Todd Steissberg, Won Chang, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165504-165504
Open Access | Times Cited: 24

Showing 24 citing articles:

Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 5
Satellite retrievals of water quality for diverse inland waters from Sentinel-2 images: An example from Zhejiang Province, China
Yaqi Zhao, Xianqiang He, Shuping Pan, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104048-104048
Open Access | Times Cited: 4
Landsat monitoring reveals the history of river organic pollution across China during 1984-2023
Nuoxiao Yan, Zhiqiang Qiu, Chenxue Zhang, et al.
Water Research (2025), pp. 123210-123210
Closed Access
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Interpretable Ai-Enhanced Reliable River Water Quality Prediction with Multi Remote Sensing Data Sources: Insights from Meteorological & Spatial-Temporal Variables
Salma Imtiaz, Mitra Nasr Azadani, Nasrin Alamdari, et al.
(2025)
Closed Access
High precision water quality retrieval in Dianchi Lake using Gaofen 5 data and machine learning methods
Yuewen Feng, Junqian Zhang, Shaojun Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite
Xuanshuo Shi, Zhongfeng Qiu, Yunjian Hu, et al.
Water (2024) Vol. 16, Iss. 6, pp. 860-860
Open Access | Times Cited: 3
ADVANCING WATER QUALITY PREDICTION: THE ROLE OF MACHINE LEARNING IN ENVIRONMENTAL SCIENCE
Tymoteusz Miller, Adrianna Łobodzińska, Polina Kozlovska, et al.
ГРААЛЬ НАУКИ (2024), Iss. 36, pp. 519-525
Closed Access | Times Cited: 2
A Qualitative Study of Water Quality Using Landsat 8 and Station Water Quality-Monitoring Data to Support SDG 6.3.2 Evaluations: A Case Study of Deqing, China
Hao Chen, Changmiao Tan, Huanhua Peng, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1319-1319
Open Access | Times Cited: 2
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: 2
Long-term water quality assessment in coastal and inland waters: An ensemble machine-learning approach using satellite data
M. Karthick, Palanisamy Shanmugam, G. S. Kumar
Marine Pollution Bulletin (2024) Vol. 209, pp. 117036-117036
Closed Access | Times Cited: 2
Intelligent Predictive Networks for Nonlinear Oxygen-Phytoplankton-Zooplankton Coupled Marine Ecosystems under Environmental and Climatic Disruptions
Amir Sultan, Muhammad Junaid Ali Asif Raja, Chuan‐Yu Chang, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 2
Analysis of the temporal and spatial evolution of turbidity in Tonle Sap Lake and its influencing factors
Tianle Zou, Kun Yang, Meie Pan, et al.
The Science of The Total Environment (2024) Vol. 943, pp. 173618-173618
Closed Access | Times Cited: 1
Estimating the influence of water control infrastructure on natural low flow in complex reservoir systems: A case study of the Ohio River
Gaurav Atreya, Erich Emery, Nathan Rogacki, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101897-101897
Open Access | Times Cited: 1
A novel framework for multiple thermokarst hazards risk assessment and controlling environmental factors analysis on the Qinghai-Tibet Plateau
Peiqing Lou, Tonghua Wu, Guoan Yin, et al.
CATENA (2024) Vol. 246, pp. 108367-108367
Open Access | Times Cited: 1
Remote Sensing Data-Based Satellite Image Analysis in Water Quality Detection for Public Health Data Modelling
S. Balakrishnan, P Michael Preetam Raj, J. Somasekar, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 1
Generation and selection of training events for surrogate flood inundation models
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123570-123570
Open Access | Times Cited: 1
Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method
Omid Babamiri, Yagob Dinpashoh
Water Resources Management (2023) Vol. 38, Iss. 3, pp. 967-989
Closed Access | Times Cited: 2
DISEÑO DE UN MODELO CORRELACIONAL PARA CUANTIFICAR VARIABLES FISICOQUÍMICAS A PARTIR DE TÉCNICAS DE ESPECTRORADIOMETRÍA EN CUERPOS DE AGUA. CASO DE ESTUDIO RIO CUJA CUNDINAMARCA COLOMBIA
Edier Fernando Ávila
CIENCIA EN DESARROLLO (2024) Vol. 15, Iss. 2
Open Access
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Siyuan Liu, Jiaxin Deng, Yuan Jin, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5135-5148
Open Access
Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images
Xingyu Liu, Yancang Wang, Tianen Chen, et al.
Ecological Indicators (2024) Vol. 167, pp. 112644-112644
Open Access
Machine Learning Model for Prediction of Indicative Water Parameters on the Danube River Based on Satellite Data
Velibor Ilić, Milan Stojković, Zorica Dodevska, et al.
Lecture notes in networks and systems (2024), pp. 3-11
Closed Access
A New Multiple Imputation Approach Using Machine Learning to Enhance Climate Databases in Senegal
Mory Touré, Nana Ama Browne Klutse, Mamadou Adama Sarr, et al.
Research Square (Research Square) (2023)
Open Access
An Update to Probable Maximum Precipitation Accounting for More Than Moisture Availability Alone: A Case Study of Nepal.
Asphota Wasti, K. Schlef, Bill Kappel, et al.
Research Square (Research Square) (2023)
Open Access
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