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:

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies
Julian McAuley, Arnau Ramisa, Tibério S. Caetano
International Journal of Computer Vision (2012) Vol. 104, Iss. 3, pp. 343-361
Closed Access | Times Cited: 14

Showing 14 citing articles:

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin, Matthias Hein, Bernt Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017) Vol. 40, Iss. 7, pp. 1533-1554
Open Access | Times Cited: 83

Image annotation: Then and now
P. K. Bhagat, Prakash Choudhary
Image and Vision Computing (2018) Vol. 80, pp. 1-23
Closed Access | Times Cited: 67

Integrating multi-level deep learning and concept ontology for large-scale visual recognition
Zhenzhong Kuang, Jun Yu, Zongmin Li, et al.
Pattern Recognition (2018) Vol. 78, pp. 198-214
Closed Access | Times Cited: 49

Bayes-Optimal Hierarchical Multilabel Classification
Wei Bi, Jame T. Kwok
IEEE Transactions on Knowledge and Data Engineering (2015) Vol. 27, Iss. 11, pp. 2907-2918
Closed Access | Times Cited: 36

Embedding Visual Hierarchy With Deep Networks for Large-Scale Visual Recognition
Tianyi Zhao, Baopeng Zhang, Ming He, et al.
IEEE Transactions on Image Processing (2018) Vol. 27, Iss. 10, pp. 4740-4755
Open Access | Times Cited: 34

Instance weighting through data imprecisiation
Julian Lienen, Eyke Hüllermeier
International Journal of Approximate Reasoning (2021) Vol. 134, pp. 1-14
Closed Access | Times Cited: 8

Taxonomic Prediction with Tree-Structured Covariances
Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton
Lecture notes in computer science (2013), pp. 304-319
Open Access | Times Cited: 8

Image annotation with incomplete labelling by modelling image specific structured loss
Xing Xu, Atsushi Shimada, Hajime Nagahara, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2015) Vol. 11, Iss. 1, pp. 73-82
Closed Access | Times Cited: 5

An Exact Penalty Method for Top-k Multiclass Classification Based on L0 Norm Minimization
Haoxian Tan
(2019), pp. 338-343
Closed Access | Times Cited: 4

Embedding Task Structure for Action Detection
Michael Peven, Gregory D. Hager
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6590-6599
Closed Access

Large-Scale Image Classification Using Ensembles of Nested Dichotomies
Roger Arnau, Carme Torras
Frontiers in artificial intelligence and applications (2013)
Closed Access | Times Cited: 2

Optimizing Partial Area Under the Top-K Curve: Theory and Practice
Zitai Wang, Qianqian Xu, Zhiyong Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-27
Open Access | Times Cited: 2

Exploring Image Specific Structured Loss for Image Annotation with Incomplete Labelling
Xing Xu, Atsushi Shimada, Rin-ichiro Taniguch
Lecture notes in computer science (2015), pp. 704-719
Closed Access | Times Cited: 1

Self-supervised Learning from Semantically Imprecise Data
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022), pp. 27-35
Open Access

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