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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.

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Showing 1-25 of 45 citing articles:

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 62
A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression
S. V. Jansi Rani, Iacovos Ioannou, R. Swetha, et al.
Ecological Informatics (2024) Vol. 81, pp. 102663-102663
Open Access | Times Cited: 6
Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities
A Fitzgerald, Christos C. Ioannou, Sofía Consuegra, et al.
Aquaculture Fish and Fisheries (2025) Vol. 5, Iss. 1
Open Access
Fishing for data: AI approaches to advance recreational fisheries monitoring
L. R. I. Baker, Nathan A. Knott, Robert Gorkin, et al.
New Zealand Journal of Marine and Freshwater Research (2025), pp. 1-18
Closed Access
Evaluating Batch Imaging as a Method for Non-Lethal Identification of Freshwater Fishes
Conrad James Pratt, Nicholas E. Mandrak
Fishes (2025) Vol. 10, Iss. 1, pp. 36-36
Open Access
Community-managed coral reef restoration in southern Kenya initiates reef recovery using various artificial reef designs
Ewout G. Knoester, JJ. Rienstra, QJF. Schürmann, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 15
AI-driven aquaculture: A review of technological innovations and their sustainable impacts
Hang Yang, Feng Qi, Shibin Xia, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Advancing Fisheries Research and Management with Computer Vision: A Survey of Recent Developments and Pending Challenges
Jesse Eickholt, Jonathan Gregory, Kavya Vemuri
Fishes (2025) Vol. 10, Iss. 2, pp. 74-74
Open Access
Real-time detection of hypoxic stress behavior in aquaculture fish using an enhanced YOLOv8 model
Changjiang Cai, Shaohui Tan, Xinmiao Wang, et al.
Aquaculture International (2025) Vol. 33, Iss. 3
Closed Access
Creating synthetic data sets for training of neural networks for automatic catch analysis in fisheries
Jonatan Sjølund Dyrstad, Elling Ruud Øye
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110160-110160
Open Access
Consistent Unimodal Body Length Distributions in Hundreds of Reef Fishes Across Diverse Life Histories
Freddie J. Heather, Shane A. Richards, Nils C. Krueck, et al.
Fish and Fisheries (2025)
Open Access
Yolo-AWD+CBT: An efficient algorithm for Micropterus salmoides swimming behavior analysis based on multi-object tracking
Peng Xiao, Ming Chen, Guofu Feng, et al.
Aquaculture (2024) Vol. 595, pp. 741554-741554
Closed Access | Times Cited: 3
A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video
Gordon Böer, Joachim Paul Gröger, Sabah Badri‐Höher, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3311-3311
Open Access | Times Cited: 10
Multi-scale dense spatially-adaptive residual distillation network for lightweight underwater image super-resolution
B. Liu, Xin Ning, Shichao Ma, et al.
Frontiers in Marine Science (2024) Vol. 10
Open Access | Times Cited: 3
Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection
Kanwal Aftab, Linda Tschirren, Boris Pasini, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2241-2263
Closed Access | Times Cited: 3
Non-Invasive Fish Biometrics for Enhancing Precision and Understanding of Aquaculture Farming through Statistical Morphology Analysis and Machine Learning
Fernando Joaquin Ramírez-Coronel, Oscar M. Rodríguez-Elias, Edgard Esquer-Miranda, et al.
Animals (2024) Vol. 14, Iss. 13, pp. 1850-1850
Open Access | Times Cited: 3
Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling
Jack Prior, Matthew D. Campbell, Matthew Dawkins, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 8
Deep Learning for Soybean Monitoring and Management
Jayme Garcia Arnal Barbedo
Seeds (2023) Vol. 2, Iss. 3, pp. 340-356
Open Access | Times Cited: 7
Accelerometers Contribution to the Knowledge of Domestic Cats’ (Felis catus) Behavior: A Comprehensive Review
Serena Prigent Garcia, Alia Chebly
Applied Animal Behaviour Science (2024) Vol. 275, pp. 106287-106287
Open Access | Times Cited: 2
AquaVision: AI-Powered Marine Species Identification
Benjamin Mifsud Scicluna, Adam Gauci, Alan Deidun
Information (2024) Vol. 15, Iss. 8, pp. 437-437
Open Access | Times Cited: 2
Improving the competitiveness of aircraft manufacturing automated processes by a deep neural network
Leandro Ruiz, Sebastián Díaz, José M. González, et al.
Integrated Computer-Aided Engineering (2023) Vol. 30, Iss. 4, pp. 341-352
Open Access | Times Cited: 6
Target recognition and segmentation in turbid water using data from non-turbid conditions: a unified approach and experimental validation
Luping Liu, Xin Li, Jianmin Yang, et al.
Optics Express (2024) Vol. 32, Iss. 12, pp. 20654-20654
Open Access | Times Cited: 1
Nonintrusive and Effective Volume Reconstruction Model of Swimming Sturgeon Based on RGB-D Sensor
Kai Lin, Shiyu Zhang, Junjie Hu, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5037-5037
Open Access | Times Cited: 1
FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification
Zhaoxuan Lu, Xiaolong Zhu, Haitao Guo, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3634-3649
Open Access | Times Cited: 1
A method for custom measurement of fish dimensions using the improved YOLOv5-keypoint framework with multi-attention mechanisms
Danying Cao, Cheng Guo, Mijuan Shi, et al.
Water Biology and Security (2024), pp. 100293-100293
Open Access | Times Cited: 1
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