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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:

A comprehensive review of catchment water quality monitoring using a tiered framework of integrated sensing technologies
Joyce O’Grady, Dian Zhang, Noel E. O’Connor, et al.
The Science of The Total Environment (2020) Vol. 765, pp. 142766-142766
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

A review of physicochemical and biological contaminants in drinking water and their impacts on human health
Ahsan Shah, Arun Arjunan, Ahmad Baroutaji, et al.
Water Science and Engineering (2023) Vol. 16, Iss. 4, pp. 333-344
Open Access | Times Cited: 65
Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta
Marko Reljić, Marija Romić, Davor Romić, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 369-369
Open Access | Times Cited: 40
Integrating Remote Sensing and Machine Learning for Dynamic Monitoring of Eutrophication in River Systems: A Case Study of Barato River, Japan
Dang Guansan, Ram Avtar, Gowhar Meraj, et al.
Water (2025) Vol. 17, Iss. 1, pp. 89-89
Open Access | Times Cited: 2
Deep learning model based on urban multi-source data for predicting heavy metals (Cu, Zn, Ni, Cr) in industrial sewer networks
Yiqi Jiang, Chaolin Li, H.K. Song, et al.
Journal of Hazardous Materials (2022) Vol. 432, pp. 128732-128732
Closed Access | Times Cited: 46
A Proposal for a Forest Digital Twin Framework and Its Perspectives
Luca Buonocore, Jim Yates, Riccardo Valentini
Forests (2022) Vol. 13, Iss. 4, pp. 498-498
Open Access | Times Cited: 42
Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review
Emily A. Ellis, George H. Allen, Ryan Riggs, et al.
Wiley Interdisciplinary Reviews Water (2024) Vol. 11, Iss. 4
Open Access | Times Cited: 6
Advancements of remote data acquisition and processing in unmanned vehicle technologies for water quality monitoring: An extensive review
Da Yun Kwon, Jungbin Kim, Seongyeol Park, et al.
Chemosphere (2023) Vol. 343, pp. 140198-140198
Closed Access | Times Cited: 14
Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management
Yuli Sudriani, Viktor Sebestyén, János Abonyi
IEEE Access (2023) Vol. 11, pp. 36421-36451
Open Access | Times Cited: 12
IoT-based prediction models in the environmental context: A systematic Literature Review
Sofia Polymeni, Evangelos Athanasakis, Georgios Spanos, et al.
Internet of Things (2022) Vol. 20, pp. 100612-100612
Closed Access | Times Cited: 21
Machine Learning-Assisted, Process-Based Quality Control for Detecting Compromised Environmental Sensors
Jacquelyn Schmidt, Branko Kerkez
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18058-18066
Closed Access | Times Cited: 10
Hyperspectral remote sensing technology for water quality monitoring: knowledge graph analysis and Frontier trend
T.‐Z. Ma, Donghui Zhang, Xusheng Li, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 10
Detection of Underwater Marine Plastic Debris Using an Augmented Low Sample Size Dataset for Machine Vision System: A Deep Transfer Learning Approach
Japhet C. Hipolito, Alvin Sarraga Alon, Ryndel V. Amorado, et al.
(2021), pp. 82-86
Closed Access | Times Cited: 23
Assessing surface water pollution in Hanoi, Vietnam, using remote sensing and machine learning algorithms
Do Thi Nhung, Diem-My Thi Nguyen, Jiwnath Ghimire, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82230-82247
Closed Access | Times Cited: 9
An IoT-Enabled Smart pH Monitoring and Dispensing System for Precision Agriculture Application
Lachit Dutta, Swapna Bharali, Pranjal Barman, et al.
Agricultural Research (2024) Vol. 13, Iss. 2, pp. 309-318
Closed Access | Times Cited: 2
Water Pollutants, Sensor Types, and Their Advantages and Challenges
Sanjeevi Ramakrishnan, Prashantkumar B. Sathvara, Sandeep Tripathi, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 78-101
Closed Access | Times Cited: 2
Monitoring Coastal Water Body Health with Sentinel-2 MSI Imagery
Marcelle C. Lock, Neil Saintilan, Iris van Duren, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1734-1734
Open Access | Times Cited: 5
Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review
Xingzhen Liu, Long Ho, Stijn Bruneel, et al.
Ecological Informatics (2024), pp. 102926-102926
Open Access | Times Cited: 1
Deep learning–based turbidity compensation for ultraviolet-visible spectrum correction in monitoring water parameters
Hongming Zhang, Xiang Zhou, Zui Tao, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 8
Data limitations in developing countries make river restoration planning challenging. Study case of the Cesar River, Colombia
S. Vega, Ronald R. Gutiérrez, Aymer Maturana, et al.
Ecohydrology & Hydrobiology (2024)
Open Access | Times Cited: 1
Integrating sensor data and machine learning to advance the science and management of river carbon emissions
Lee E. Brown, Taylor Maavara, Jiangwei Zhang, et al.
Critical Reviews in Environmental Science and Technology (2024), pp. 1-24
Open Access | Times Cited: 1
Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution
Cailing Wang, Wen Xiong, Guo‐Hao Zhang
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105852-105852
Closed Access | Times Cited: 1
Assessing Drone-Based Remote Sensing for Monitoring Water Temperature, Suspended Solids and CDOM in Inland Waters: A Global Systematic Review of Challenges and Opportunities
Shannyn Jade Pillay, Tsitsi Bangira, Mbulisi Sibanda, et al.
Drones (2024) Vol. 8, Iss. 12, pp. 733-733
Open Access | Times Cited: 1
High-Frequency Monitoring to Estimate Loads and Identify Nutrient Transport Dynamics in the Little Auglaize River, Ohio
Shannon Pace, James M. Hood, Heather Raymond, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16848-16848
Open Access | Times Cited: 6
Sensores de calidad de agua para el control de la contaminación fisicoquímica en los acuíferos de Latinoamérica: una revisión
Edian F. Franco, Rommel Thiago Jucá Ramos, Argenys Ovando, et al.
Ciencia Ambiente y Clima (2023) Vol. 6, Iss. 1, pp. 45-70
Open Access | Times Cited: 3
Data-based interpretation of emerging contaminants occurrence in rivers using a simple advection-reaction model
Antoni Ginebreda, ‪Damià Barceló
Water Emerging Contaminants & Nanoplastics (2022) Vol. 1, Iss. 3, pp. 12-12
Open Access | Times Cited: 4
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