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:

Monitoring water quality using proximal remote sensing technology
Xiao Sun, Yunlin Zhang, Kun� Shi, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149805-149805
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Haibo Yang, Jialin Kong, Huihui Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1770-1770
Open Access | Times Cited: 215

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine
Mohammad Kazemi Garajeh, Fatemeh Haji, Mahsa Tohidfar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 43

Renewable energy integration in sustainable water systems: A review
Alireza Zakariazadeh, Razzaqul Ahshan, Rashid Al-Abri, et al.
Cleaner Engineering and Technology (2024) Vol. 18, pp. 100722-100722
Open Access | Times Cited: 37

Sensors for Emerging Water Contaminants: Overcoming Roadblocks to Innovation
Mohamed Ateia, Haoran Wei, Silvana Andreescu
Environmental Science & Technology (2024) Vol. 58, Iss. 6, pp. 2636-2651
Closed Access | Times Cited: 32

Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
Zheng Gong, Wenyan Ge, Jiaqi Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 149-164
Closed Access | Times Cited: 28

The Application of Remote Sensing Technology in Inland Water Quality Monitoring and Water Environment Science: Recent Progress and Perspectives
Lei Chen, Leizhen Liu, Shasha Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 667-667
Open Access | Times Cited: 3

Dissolved Organic Carbon Estimation in Lakes: Improving Machine Learning with Data Augmentation on Fusion of Multi-Sensor Remote Sensing Observations
Seyed Babak Haji Seyed Asadollah, Ahmadreza Safaeinia, Sina Jarahizadeh, et al.
Water Research (2025) Vol. 277, pp. 123350-123350
Closed Access | Times Cited: 2

Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2416-2416
Open Access | Times Cited: 64

Application and recent progress of inland water monitoring using remote sensing techniques
Qi Cao, Gongliang Yu, Zhiyi Qiao
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 48

A ground-based remote sensing system for high-frequency and real-time monitoring of phytoplankton blooms
Weijia Wang, Kun� Shi, Yibo Zhang, et al.
Journal of Hazardous Materials (2022) Vol. 439, pp. 129623-129623
Closed Access | Times Cited: 40

Remote sensing for mapping algal blooms in freshwater lakes: a review
Sílvia Beatriz Alves Rolim, Bijeesh Kozhikkodan Veettil, Antônio Pedro Vieiro, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 8, pp. 19602-19616
Closed Access | Times Cited: 36

Multi-sensor and multi-platform retrieval of water chlorophyll a concentration in karst wetlands using transfer learning frameworks with ASD, UAV, and Planet CubeSate reflectance data
Bolin Fu, Sunzhe Li, Zhinan Lao, et al.
The Science of The Total Environment (2023) Vol. 901, pp. 165963-165963
Closed Access | Times Cited: 33

Improved prediction of chlorophyll-a concentrations in reservoirs by GRU neural network based on particle swarm algorithm optimized variational modal decomposition
Xihai Zhang, Xianghui Chen, Guochen Zheng, et al.
Environmental Research (2023) Vol. 221, pp. 115259-115259
Closed Access | Times Cited: 30

Determination of pollutants, antibiotics, and drugs in surface water in Italy as required by the third EU Water Framework Directive Watch List: method development, validation, and assessment
Luisa Colzani, Carola Forni, Laura Clerici, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14791-14803
Open Access | Times Cited: 13

Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning
Lingfang Gao, Yulin Shangguan, Sun Zhong, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 514-514
Open Access | Times Cited: 13

A critical review of irrigation water quality index and water quality management practices in micro-irrigation for efficient policy making
Geophry Wasonga Anyango, Gourav Dhar Bhowmick, Niharika Sahoo Bhattacharya
Desalination and Water Treatment (2024) Vol. 318, pp. 100304-100304
Open Access | Times Cited: 13

Water body extraction from high spatial resolution remote sensing images based on enhanced U-Net and multi-scale information fusion
Huidong Cao, Yanbing Tian, Yanli Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11

A High-Frequency and Real-Time Ground Remote Sensing System for Obtaining Water Quality Based on a Micro Hyper-Spectrometer
Yunfei Li, Yanhu Fu, Ziyue Lang, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1833-1833
Open Access | Times Cited: 10

A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1

Monitoring Water Quality of the Haihe River Based on Ground-Based Hyperspectral Remote Sensing
Qi Cao, Gongliang Yu, Shengjie Sun, et al.
Water (2021) Vol. 14, Iss. 1, pp. 22-22
Open Access | Times Cited: 45

Estimating Chemical Oxygen Demand in estuarine urban rivers using unmanned aerial vehicle hyperspectral images
Jiannan Cai, Ling Meng, Hailong Liu, et al.
Ecological Indicators (2022) Vol. 139, pp. 108936-108936
Open Access | Times Cited: 29

The unprecedented 2022 extreme summer heatwaves increased harmful cyanobacteria blooms
Na Li, Yunlin Zhang, Yibo Zhang, et al.
The Science of The Total Environment (2023) Vol. 896, pp. 165312-165312
Open Access | Times Cited: 21

Identification of pollution source and prediction of water quality based on deep learning techniques
Junping Wang, Baolin Xue, Yuntao Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 261, pp. 104287-104287
Closed Access | Times Cited: 18

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