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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:

Instance Segmentation-based Identification of Pelagic Species in Acoustic Backscatter Data
Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 4373-4382
Closed Access | Times Cited: 9

Showing 9 citing articles:

Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 140
Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review
Anas Yassir, Said Jai Andaloussi, Ouail Ouchetto, et al.
Fisheries Research (2023) Vol. 266, pp. 106790-106790
Closed Access | Times Cited: 14
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data
Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, et al.
IEEE Journal of Oceanic Engineering (2023) Vol. 48, Iss. 2, pp. 384-400
Open Access | Times Cited: 7
Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms Using U-Net Neural Networks
Alex Slonimer, Stan E. Dosso, Alexandra Branzan Albu, et al.
IEEE Journal of Oceanic Engineering (2023) Vol. 48, Iss. 4, pp. 1236-1254
Closed Access | Times Cited: 6
Acoustic Classification of Juvenile Pacific Salmon (Oncorhynchus spp) and Pacific Herring (Clupea pallasii) Schools Using Random Forests
Shani Rousseau, Stéphane Gauthier, Chrys Neville, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 6
U-MSAA-Net: A Multiscale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms
Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, et al.
IEEE Journal of Oceanic Engineering (2023) Vol. 48, Iss. 3, pp. 853-873
Closed Access | Times Cited: 2
Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation
Rhythm Vohra, Femina Senjaliya, Melissa Cote, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 375-384
Closed Access | Times Cited: 2
Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of Concept
I-Hao Chen, Nabil Belbachir
Proceedings of the Northern Lights Deep Learning Workshop (2023) Vol. 4
Open Access | Times Cited: 1
Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net
Alex Slonimer, Melissa Cote, Tunai Porto Marques, et al.
(2022), pp. 8-15
Closed Access | Times Cited: 2
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