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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:

Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges
Jeremy Kravitz, Mark W. Matthews, Stewart Bernard, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111562-111562
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
Zhigang Cao, Ronghua Ma, Hongtao Duan, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 111974-111974
Closed Access | Times Cited: 312
Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects
Jinyue Chen, Shuisen Chen, Rao Fu, et al.
Earth s Future (2022) Vol. 10, Iss. 2
Open Access | Times Cited: 133
A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Mortimer Werther, Daniel Odermatt, Stefan Simis, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113295-113295
Open Access | Times Cited: 48
Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties
Ming Shen, Juhua Luo, Zhigang Cao, et al.
Journal of Hydrology (2022) Vol. 615, pp. 128685-128685
Closed Access | Times Cited: 47
Estimation of Chlorophyll-a Concentrations in Small Water Bodies: Comparison of Fused Gaofen-6 and Sentinel-2 Sensors
Jiarui Shi, Qian Shen, Yue Yao, et al.
Remote Sensing (2022) Vol. 14, Iss. 1, pp. 229-229
Open Access | Times Cited: 41
Increase in chlorophyll-a concentration in Lake Taihu from 1984 to 2021 based on Landsat observations
Ziyao Yin, Junsheng Li, Bing Zhang, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162168-162168
Closed Access | Times Cited: 33
Assessment of Estimated Phycocyanin and Chlorophyll-a Concentration from PRISMA and OLCI in Brazilian Inland Waters: A Comparison between Semi-Analytical and Machine Learning Algorithms
Thainara Munhoz Alexandre de Lima, Claudia Giardino, Mariano Bresciani, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1299-1299
Open Access | Times Cited: 24
Research progress of inland river water quality monitoring technology based on unmanned aerial vehicle hyperspectral imaging technology
Xueqin Bai, Jiajia Wang, Ruya Chen, et al.
Environmental Research (2024) Vol. 257, pp. 119254-119254
Closed Access | Times Cited: 10
Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake
Dong Wang, Bo‐Hui Tang, Zhao-Liang Li
Ecological Informatics (2024) Vol. 82, pp. 102666-102666
Open Access | Times Cited: 10
Remote sensing of sun-induced chlorophyll-a fluorescence in inland and coastal waters: Current state and future prospects
Remika Gupana, Daniel Odermatt, Ilaria Cesana, et al.
Remote Sensing of Environment (2021) Vol. 262, pp. 112482-112482
Open Access | Times Cited: 44
A decade-long chlorophyll-a data record in lakes across China from VIIRS observations
Zhigang Cao, Menghua Wang, Ronghua Ma, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113953-113953
Closed Access | Times Cited: 22
WaterNet: A Convolutional Neural Network for Chlorophyll-a Concentration Retrieval
Muhammad Aldila Syariz, Chao‐Hung Lin, Mạnh Van Nguyen, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1966-1966
Open Access | Times Cited: 43
Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine
Leonardo F. Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4118-4118
Open Access | Times Cited: 40
Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm–Artificial Neural Networks Model
Jinyue Chen, Shuisen Chen, Rao Fu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3640-3658
Open Access | Times Cited: 40
Exposure to global change pressures and potential impacts on ecosystem services of mountain lakes in the European Alps
Uta Schirpke, Manuel Ebner
Journal of Environmental Management (2022) Vol. 318, pp. 115606-115606
Open Access | Times Cited: 27
Remote Sensing of Chlorophyll-a in Xinkai Lake Using Machine Learning and GF-6 WFV Images
Shiqi Xu, Sijia Li, Zui Tao, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5136-5136
Open Access | Times Cited: 24
Machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data
Felipe Nincao Begliomini, Cláudio Clemente Faria Barbosa, Vitor S. Martins, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 378-396
Open Access | Times Cited: 15
Retrieval of Chla Concentrations in Lake Xingkai Using OLCI Images
Li Fu, Yaming Zhou, Ge Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3809-3809
Open Access | Times Cited: 14
Remote sensing-based water quality monitoring in African reservoirs, potential and limitations of sensors and algorithms: A systematic review
Tsitsi Bangira, Trylee Nyasha Matongera, Tafadzwanashe Mabhaudhi, et al.
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 134, pp. 103536-103536
Closed Access | Times Cited: 14
Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir
Kudzai Shaun Mpakairi, Faith F. Muthivhi, Farai Dondofema, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 4
Open Access | Times Cited: 6
Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
Susan L. Ustin, Elizabeth M. Middleton
Sensors (2024) Vol. 24, Iss. 11, pp. 3488-3488
Open Access | Times Cited: 6
A dataset of trophic state index for nation-scale lakes in China from 40-year Landsat observations
Minqi Hu, Ronghua Ma, Kun Xue, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data
M. V. Peppa, Christos Vasilakos, Dimitris Kavroudakis
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 3, pp. 143-143
Open Access | Times Cited: 36
Meta-classification of remote sensing reflectance to estimate trophic status of inland and nearshore waters
Mortimer Werther, Evangelos Spyrakos, Stefan Simis, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 176, pp. 109-126
Open Access | Times Cited: 29
Effects of optical and radar satellite observations within Google Earth Engine on soil organic carbon prediction models in Spain
Tao Zhou, Yajun Geng, Wenhao Lv, et al.
Journal of Environmental Management (2023) Vol. 338, pp. 117810-117810
Closed Access | Times Cited: 13
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