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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:

Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning
Zhigang Cao, Ronghua Ma, Miao Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Monitoring inland water via Sentinel satellite constellation: A review and perspective
Fanxuan Zeng, Chunqiao Song, Zhigang Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 340-361
Closed Access | Times Cited: 34
Algal biomass mapping of eutrophic lakes using a machine learning approach with MODIS images
Lai Lai, Yuchao Zhang, Zhen Cao, et al.
The Science of The Total Environment (2023) Vol. 880, pp. 163357-163357
Closed Access | Times Cited: 20
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: 18
Remote sensing of dissolved CO2 concentrations in meso-eutrophic lakes using Sentinel-3 imagery
Tianci Qi, Ming Shen, Tiit Kutser, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113431-113431
Closed Access | Times Cited: 15
Automated spectral transfer learning strategy for semi-supervised regression on Chlorophyll-a retrievals with Sentinel-2 imagery
Xuming Shi, Lingjia Gu, Xiaofeng Li, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Estimating Effects of Natural and Anthropogenic Activities on Trophic Level of Inland Water: Analysis of Poyang Lake Basin, China, with Landsat-8 Observations
Jianzhong Li, Zhubin Zheng, Ge Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1618-1618
Open Access | Times Cited: 11
Retrieval of suspended sediment concentrations using remote sensing and machine learning methods: A case study of the lower Yellow River
Jinlong Hu, Chiyuan Miao, Xiangping Zhang, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130369-130369
Closed Access | Times Cited: 11
Remote sensing retrieval and driving analysis of phytoplankton density in the large storage freshwater lake: A study based on random forest and Landsat-8 OLI
Wanting Wang, Jinyue Chen, Lei Fang, et al.
Journal of Contaminant Hydrology (2024) Vol. 261, pp. 104304-104304
Closed Access | Times Cited: 4
Machine learning approaches to landsat change detection analysis
Galen Richardson, Anders Knudby, Morgan A. Crowley, et al.
Canadian Journal of Remote Sensing (2025) Vol. 51, Iss. 1
Open 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
A General Spectral Bandpass Adjustment Function (SBAF) for Harmonizing Landsat-Sentinel over Inland and Coastal Waters
Thainara Munhoz Alexandre de Lima, Vitor S. Martins, Rejane S. Paulino, et al.
Science of Remote Sensing (2025), pp. 100225-100225
Open Access
AI-driven opportunities and challenges in lake remote sensing
Hongtao Duan, Zhigang Cao, Juhua Luo, et al.
(2025), pp. 100014-100014
Open Access
Estimating of antibiotic resistance genes in the sediments of Erhai Lake, China: Based on multi-source remote sensing data
Z P Chen, Qihao Chen, Xiong Pan, et al.
Journal of Hydrology (2025), pp. 133350-133350
Closed Access
Improved prediction of chlorophyll-a concentrations using advancing graph neural network variants
Sung-Hyun Yoon, Kuk-Hyun Ahn
The Science of The Total Environment (2025) Vol. 979, pp. 179481-179481
Closed Access
Retrieving water chlorophyll-a concentration in inland waters from Sentinel-2 imagery: Review of operability, performance and ways forward
Joana Llodrà-Llabrés, Javier Martínez‐López, Thedmer Postma, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103605-103605
Open Access | Times Cited: 9
Seasonal Monitoring Method for TN and TP Based on Airborne Hyperspectral Remote Sensing Images
Lei Dong, Cailan Gong, Xinhui Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1614-1614
Open Access | Times Cited: 3
Satellite mapping reveals phytoplankton biomass's spatio-temporal dynamics and responses to environmental factors in a eutrophic inland lake
Lai Lai, Yuchao Zhang, Tao Han, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121134-121134
Closed Access | Times Cited: 3
Understanding the potential, uncertainties, and limitations of spatio-temporal fusion for monitoring chlorophyll-a concentration in inland eutrophic lakes
Linwei Yue, Lei Zhang, Rui Peng, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 3
Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions
Lai Lai, Yuchen Liu, Yuchao Zhang, et al.
Water Research (2024) Vol. 267, pp. 122457-122457
Closed Access | Times Cited: 3
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: 3
A semi-analytical model to estimate Chlorophyll-a spatial-temporal patterns from Orbita Hyperspectral image in inland eutrophic waters
Zhubin Zheng, Chao Huang, Yunmei Li, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166785-166785
Closed Access | Times Cited: 7
MODIS Terra and Aqua images bring non-negligible effects to phytoplankton blooms derived from satellites in eutrophic lakes
Lai Lai, Yuchen Liu, Yuchao Zhang, et al.
Water Research (2023) Vol. 246, pp. 120685-120685
Closed Access | Times Cited: 7
Detection of the Status of Diatom Blooms in the Tributaries of the Yangtze River Based on Sentinel-2 Images
Linwei Yue, Huimin Luo, Zheng Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 6
Enhancing perspectives on lake impairments using satellite observations: A case study on High Rock Lake, North Carolina
Courtney A. Di Vittorio, Michael Moerk, William A. Kreutzberger
JAWRA Journal of the American Water Resources Association (2023) Vol. 59, Iss. 5, pp. 1067-1083
Open Access | Times Cited: 4
Retrieving Lake Chla concentration from remote Sensing: Sampling time matters
Yufeng Yang, Xikang Hou, Wei Gao, et al.
Ecological Indicators (2023) Vol. 158, pp. 111290-111290
Open Access | Times Cited: 4
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