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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:

Fluorescence probes for real-time remote cyanobacteria monitoring: A review of challenges and opportunities
Edoardo Bertone, Michele A. Burford, David P. Hamilton
Water Research (2018) Vol. 141, pp. 152-162
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Rohit Nishant, Mike Kennedy, Jacqueline Corbett
International Journal of Information Management (2020) Vol. 53, pp. 102104-102104
Closed Access | Times Cited: 716
Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
Simon Elias Bibri, John Krogstie, Amin Kaboli, et al.
Environmental Science and Ecotechnology (2023) Vol. 19, pp. 100330-100330
Open Access | Times Cited: 276
New advances in fluorescence excitation-emission matrix spectroscopy for the characterization of dissolved organic matter in drinking water treatment: A review
Lei Li, Yang Wang, Wenjun Zhang, et al.
Chemical Engineering Journal (2019) Vol. 381, pp. 122676-122676
Closed Access | Times Cited: 261
A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes
Benny Zuse Rousso, Edoardo Bertone, Rodney A. Stewart, et al.
Water Research (2020) Vol. 182, pp. 115959-115959
Open Access | Times Cited: 234
Perspective: Advancing the research agenda for improving understanding of cyanobacteria in a future of global change
Michele A. Burford, Cayelan C. Carey, David P. Hamilton, et al.
Harmful Algae (2019) Vol. 91, pp. 101601-101601
Open Access | Times Cited: 214
Cyanobacterial Harmful Algal Blooms in Aquatic Ecosystems: A Comprehensive Outlook on Current and Emerging Mitigation and Control Approaches
Assaf Sukenik, Aaron Kaplan
Microorganisms (2021) Vol. 9, Iss. 7, pp. 1472-1472
Open Access | Times Cited: 114
Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review
Bilal Manzoor, Idris Othman, Serdar Durdyev, et al.
Applied System Innovation (2021) Vol. 4, Iss. 3, pp. 52-52
Open Access | Times Cited: 71
Harmful Cyanobacterial Blooms: Biological Traits, Mechanisms, Risks, and Control Strategies
Lirong Song, Yunlu Jia, Boqiang Qin, et al.
Annual Review of Environment and Resources (2023) Vol. 48, Iss. 1, pp. 123-147
Open Access | Times Cited: 37
Current status and prospects of algal bloom early warning technologies: A Review
X.L. Xiao, Yazhou Peng, Wei Zhang, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119510-119510
Closed Access | Times Cited: 32
Cyanobacterial bloom monitoring and assessment in Latin America
Anabella Aguilera, Viviana Almanza, Signe Haakonsson, et al.
Harmful Algae (2023) Vol. 125, pp. 102429-102429
Open Access | Times Cited: 29
Cyanotoxins and Cyanobacteria Cell Accumulations in Drinking Water Treatment Plants with a Low Risk of Bloom Formation at the Source
Husein Almuhtaram, Yijing Cui, Arash Zamyadi, et al.
Toxins (2018) Vol. 10, Iss. 11, pp. 430-430
Open Access | Times Cited: 66
State of knowledge on early warning tools for cyanobacteria detection
Husein Almuhtaram, Faith A. Kibuye, Suraj Ajjampur, et al.
Ecological Indicators (2021) Vol. 133, pp. 108442-108442
Open Access | Times Cited: 55
Chlorophyll soft-sensor based on machine learning models for algal bloom predictions
Alberto Mozó, Jesús Morón-López, Stanislav Vakaruk, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Employing hybrid deep learning for near-real-time forecasts of sensor-based algal parameters in a Microcystis bloom-dominated lake
Lan Wang, Kun Shan, Yi Yang, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 171009-171009
Closed Access | Times Cited: 7
Individual-based modelling of cyanobacteria blooms: Physical and physiological processes
Mohammad Hassan Ranjbar, David P. Hamilton, Amir Etemad‐Shahidi, et al.
The Science of The Total Environment (2021) Vol. 792, pp. 148418-148418
Open Access | Times Cited: 40
Light-induced fluorescence quenching leads to errors in sensor measurements of phytoplankton chlorophyll and phycocyanin
Benny Zuse Rousso, Edoardo Bertone, Rodney A. Stewart, et al.
Water Research (2021) Vol. 198, pp. 117133-117133
Open Access | Times Cited: 39
Temporal prediction of algal parameters in Three Gorges Reservoir based on highly time-resolved monitoring and long short-term memory network
Kun Shan, Tian Ouyang, Xiaoxiao Wang, et al.
Journal of Hydrology (2021) Vol. 605, pp. 127304-127304
Closed Access | Times Cited: 37
Machine learning for anomaly detection in cyanobacterial fluorescence signals
Husein Almuhtaram, Arash Zamyadi, Ron Hofmann
Water Research (2021) Vol. 197, pp. 117073-117073
Open Access | Times Cited: 36
Unveiling the trifecta of cyanobacterial quorum sensing: LuxI, LuxR and LuxS as the intricate machinery for harmful algal bloom formation in freshwater ecosystems
Vajagathali Mohammed, Jesu Arockiaraj
The Science of The Total Environment (2024) Vol. 924, pp. 171644-171644
Closed Access | Times Cited: 6
Recent Issues and Challenges in the Study of Inland Waters
Ryszard Staniszewski, Beata Messyasz, Piotr Dąbrowski, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1216-1216
Open Access | Times Cited: 5
Exploring spatiotemporal patterns of algal cell density in lake Dianchi with explainable machine learning
Yiwen Tao, Jingli Ren, Huaiping Zhu, et al.
Environmental Pollution (2024) Vol. 356, pp. 124395-124395
Closed Access | Times Cited: 5
In-situ fluorescence monitoring of cyanobacteria: Laboratory-based quantification of species-specific measurement accuracy
Edoardo Bertone, Ann Chuang, Michele A. Burford, et al.
Harmful Algae (2019) Vol. 87, pp. 101625-101625
Open Access | Times Cited: 38
Sensor-based detection of algal blooms for public health advisories and long-term monitoring
McNamara Rome, R. Edward Beighley, Tom Faber
The Science of The Total Environment (2021) Vol. 767, pp. 144984-144984
Open Access | Times Cited: 29
Remote sensing of the cyanobacteria life cycle: A mesocosm temporal assessment of a Microcystis sp. bloom using coincident unmanned aircraft system (UAS) hyperspectral imagery and ground sampling efforts
Kaytee Pokrzywinski, Richard Johansen, Molly Reif, et al.
Harmful Algae (2022) Vol. 117, pp. 102268-102268
Open Access | Times Cited: 22
Simultaneous detection of lysosomal SO2 and viscosity using a hemicyanine-based fluorescent probe
Xiaohong Li, Xuefeng Han, Wei-Na Wu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 280, pp. 121519-121519
Closed Access | Times Cited: 20
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