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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:

COVARIANCE BASED FISH TRACKING IN REAL-LIFE UNDERWATER ENVIRONMENT
Concetto Spampinato, Simone Palazzo, Daniela Giordano, et al.
(2012), pp. 409-414
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Multiple object tracking: A literature review
Wenhan Luo, Junliang Xing, Anton Milan, et al.
Artificial Intelligence (2020) Vol. 293, pp. 103448-103448
Open Access | Times Cited: 579
Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies
Amir Sadeghian, Alexandre Alahi, Silvio Savarese
(2017), pp. 300-311
Open Access | Times Cited: 575
Computer Vision Models in Intelligent Aquaculture with Emphasis on Fish Detection and Behavior Analysis: A Review
Ling Yang, Yeqi Liu, Huihui Yu, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 2785-2816
Closed Access | Times Cited: 176
A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage
Bastiaan J. Boom, Jiyin He, Simone Palazzo, et al.
Ecological Informatics (2013) Vol. 23, pp. 83-97
Open Access | Times Cited: 130
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Robert B. Fisher, Yun-Heh Chen-Burger, Daniela Giordano, et al.
Intelligent systems reference library (2016)
Closed Access | Times Cited: 94
An innovative web-based collaborative platform for video annotation
Isaak Kavasidis, Simone Palazzo, Roberto Di Salvo, et al.
Multimedia Tools and Applications (2013) Vol. 70, Iss. 1, pp. 413-432
Open Access | Times Cited: 89
Transferring deep knowledge for object recognition in Low-quality underwater videos
Xin Sun, Junyu Shi, Lipeng Liu, et al.
Neurocomputing (2017) Vol. 275, pp. 897-908
Open Access | Times Cited: 86
Automatic Nile Tilapia fish classification approach using machine learning techniques
Mohamed Mostafa Fouad, Hossam M. Zawbaa, Nashwa El-Bendary, et al.
(2013), pp. 173-178
Closed Access | Times Cited: 68
Fish activity tracking and species identification in underwater video
Ekram Hossain, Shahela Alam, Amin Ahsan Ali, et al.
(2016), pp. 62-66
Closed Access | Times Cited: 41
GMOT-40: A Benchmark for Generic Multiple Object Tracking
Hexin Bai, Wensheng Cheng, Peng Chu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 30
A semi-automatic tool for detection and tracking ground truth generation in videos
Isaak Kavasidis, Simone Palazzo, Roberto Di Salvo, et al.
(2012), pp. 1-5
Closed Access | Times Cited: 40
FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations
Takuya Ogawa, Takashi Shibata, Toshinori Hosoi
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6549-6558
Closed Access | Times Cited: 3
Long-term underwater camera surveillance for monitoring and analysis of fish populations
Bastiaan J. Boom, Phoenix X. Huang, Cigdem Beyan, et al.
(2012)
Closed Access | Times Cited: 33
Detecting abnormal fish trajectories using clustered and labeled data
Cigdem Beyan, Robert B. Fisher
(2013)
Open Access | Times Cited: 30
Detection of Abnormal Fish Trajectories Using a Clustering Based Hierarchical Classifier
Cigdem Beyan, Robert B. Fisher
(2013), pp. 21.1-21.11
Open Access | Times Cited: 29
Extracting statistically significant behaviour from fish tracking data with and without large dataset cleaning
Cigdem Beyan, Vasiliki‐Maria Katsageorgiou, Robert B. Fisher
IET Computer Vision (2017) Vol. 12, Iss. 2, pp. 162-170
Open Access | Times Cited: 26
Automated Analysis of Marine Video with Limited Data
Deborah L. Levy, Yuval Belfer, Elad Osherov, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018), pp. 1466-14668
Closed Access | Times Cited: 26
Review of Underwater Machine Vision Technology and Its Applications
Xi Qiao, Thomas Rauschenbach, Daoliang Li
Marine Technology Society Journal (2017) Vol. 51, Iss. 1, pp. 75-97
Closed Access | Times Cited: 25
Mixed-domain biological motion tracking for underwater human-robot interaction
Md Jahidul Islam, Junaed Sattar
(2017)
Closed Access | Times Cited: 25
Fine-grained object recognition in underwater visual data
C. Spampinato, Simone Palazzo, Pierre-Hugues Joalland, et al.
Multimedia Tools and Applications (2015) Vol. 75, Iss. 3, pp. 1701-1720
Closed Access | Times Cited: 25
Research on fish identification in tropical waters under unconstrained environment based on transfer learning
Shan Zhang, Weifang Liu, Yupeng Zhu, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 2, pp. 1155-1166
Open Access | Times Cited: 11
A rule-based event detection system for real-life underwater domain
Concetto Spampinato, Emma Beauxis-Aussalet, Simone Palazzo, et al.
Machine Vision and Applications (2013) Vol. 25, Iss. 1, pp. 99-117
Open Access | Times Cited: 20
Research on realizing the 3D occlusion tracking location method of fish's school target
Jiafa Mao, Gang Xiao, Weiguo Sheng, et al.
Neurocomputing (2016) Vol. 214, pp. 61-79
Closed Access | Times Cited: 19
Visual fish tracking: Combining a two-stage graph approach with CNN-features
Jonas Jäger, Viviane Wolff, Klaus Fricke-Neuderth, et al.
OCEANS 2017 - Aberdeen (2017), pp. 1-6
Closed Access | Times Cited: 18
A crowdsourcing approach to support video annotation
Roberto Di Salvo, Daniela Giordano, Isaak Kavasidis
(2013), pp. 1-6
Closed Access | Times Cited: 17
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