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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:

A review of artificial intelligence in marine science
Tao Song, Cong Pang, Boyang Hou, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 19

Showing 19 citing articles:

Deep learning for water quality
Wei Zhi, Alison Appling, Heather E. Golden, et al.
Nature Water (2024) Vol. 2, Iss. 3, pp. 228-241
Closed Access | Times Cited: 55
Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices
Hoang Phuong Nguyen, Cao Thao Uyen Nguyen, Thi Men Tran, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 8
A Review of Application of Machine Learning in Storm Surge Problems
Yue Qin, Changyu Su, Dongdong Chu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1729-1729
Open Access | Times Cited: 17
Modeling the dynamics of harmful algal bloom events in two bays from the northern Chilean upwelling system
Sergio A. Rosales, Patricio A. Díaz, Práxedes Muñoz, et al.
Harmful Algae (2024) Vol. 132, pp. 102583-102583
Closed Access | Times Cited: 5
Applications and perspectives of Generative Artificial Intelligence in agriculture
Federico Pallottino, Simona Violino, Simone Figorilli, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109919-109919
Closed Access
A Deep Learning Approach of Artificial Neural Network With Attention Mechanism to Predicting Marine Biogeochemistry Data
Mingzhi Liu, Yipeng Wang, Guoqiang Zhong, et al.
Journal of Geophysical Research Biogeosciences (2025) Vol. 130, Iss. 3
Closed Access
A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction
Gaoxiang Zhou, Jun Chen, Ming Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103815-103815
Open Access | Times Cited: 3
The Diversity of Artificial Intelligence Applications in Marine Pollution: A Systematic Literature Review
Ning Jia, Shufen Pang, Zainal Arifin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 7, pp. 1181-1181
Open Access | Times Cited: 3
Predicting significant wave height in the South China Sea using the SAC-ConvLSTM model
Boyang Hou, Hanjiao Fu, Xin Li, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
Coastal Zone Information Model: A comprehensive architecture for coastal digital twin by integrating data, models, and knowledge
Zhaoyuan Yu, Pei Du, Lin Yi, et al.
Fundamental Research (2024)
Open Access | Times Cited: 1
Utilizing Artificial Intelligence (AI) for the Identification and Management of Marine Protected Areas (MPAs): A Review
Şeyma Merve Kaymaz Mühling
Journal of Geoscience and Environment Protection (2023) Vol. 11, Iss. 09, pp. 118-132
Open Access | Times Cited: 2
Analyzing Hepatotoxicity of Marine Venoms Using Artificial Intelligence: An Ecoinformatics Perspective
Heider A. Wahsheh, Mohammad Wahsha, Tariq Al-Najjar, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico
Edward C. C. Steele, Jiaxin Chen, Ian Ashton, et al.
(2024)
Open Access
Applications of Artificial Intelligence in Oceanic Nuclear Contamination Management
Mengting Chen, Cong Qi, Xuan Wu
(2024), pp. 210-215
Closed Access
An AI model for predicting the spatiotemporal evolution process of coastal waves by using the Improved-STID algorithm
Xinyu Huang, Jun Tang, Yongming Shen, et al.
Applied Ocean Research (2024) Vol. 153, pp. 104299-104299
Closed Access
Sea surface heat flux helps predicting thermocline in the South China Sea
Yuepeng Pan, Ming Feng, Hao Yu, et al.
Environmental Modelling & Software (2024), pp. 106271-106271
Closed Access
Coastal modelling and its suitability for use in SIDS
Christopher Alexis, Junior Darsan
Journal of Coastal Conservation (2024) Vol. 28, Iss. 6
Closed Access
GreenSurge: an efficient additive model for predicting storm surge induced by tropical cyclones
Beatriz Pérez-Díaz, Laura Cagigal, Sonia Castanedo, et al.
Coastal Engineering (2024), pp. 104691-104691
Closed Access
Two Algorithms for Sargassum Segmentation in Citizen Science Images
Javier Arellano‐Verdejo, Hugo E. Lazcano‐Hernández
(2023), pp. 1-8
Closed Access
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