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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:

Prediction of chlorophyll-a as an indicator of harmful algal blooms using deep learning with Bayesian approximation for uncertainty assessment
Ibrahim Busari, Debabrata Sahoo, R.B. Jana
Journal of Hydrology (2024) Vol. 630, pp. 130627-130627
Closed Access | Times Cited: 10

Showing 10 citing articles:

Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China
Zhiyuan Yao, Zhaocai Wang, Jinghan Huang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175407-175407
Closed Access | Times Cited: 17
The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions
Cassia Brocca Caballero, Vitor S. Martins, Rejane S. Paulino, et al.
Ecological Indicators (2025) Vol. 172, pp. 113244-113244
Open Access
Stimulation of Microcystis aeruginosa by subtoxic concentrations of contaminants: A meta-analysis
Caiyu Geng, Boya Zhou, Edward J. Calabrese, et al.
Environmental Research (2025), pp. 121105-121105
Closed Access
GAN-Enhanced Deep Learning Approach for Forecasting the Potentially Toxic Cyanobacteria in Dams
Nadia Amara, Nadjette Dendani, Amira Berrezzek, et al.
Communications in computer and information science (2025), pp. 42-52
Closed Access
Investigating the influence of measurement uncertainty on chlorophyll-a predictions as an indicator of harmful algal blooms in machine learning models
Ibrahim Busari, Debabrata Sahoo, K. P. Sudheer, et al.
Ecological Informatics (2024) Vol. 82, pp. 102735-102735
Open Access | Times Cited: 2
Harmful algal bloom prediction using empirical dynamic modeling
Özlem Baydaroğlu
The Science of The Total Environment (2024) Vol. 959, pp. 178185-178185
Closed Access | Times Cited: 1
Modeling Dissolved Oxygen Under Data Scarcity Situation Using Time-Series Generative Adversarial Network Combined with Long Short-Term Memory Network
Gang Li, Cheng Chen, Siyang Yao, et al.
(2024)
Closed Access
Harrmful Algal Bloom Prediction using Emprical Dynamic Modelling
Özlem Baydaroğlu
EarthArXiv (California Digital Library) (2024)
Open Access
Smartphone as an alternative to measure chlorophyll-a concentration in small waterbodies
Lingyan Qi, Han Yin, Zhengxin Wang, et al.
Journal of Environmental Management (2024) Vol. 368, pp. 122135-122135
Closed Access
A Spatiotemporal fusion Transformer model for Chlorophyll-a concentrations prediction over large areas with satellite time series data
Gaoxiang Zhou, Ming Liu, Liangzhi Li
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access
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