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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:

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

Showing 1-25 of 83 citing articles:

Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 264
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 3, pp. 1371-1384
Open Access | Times Cited: 142
On the road to explainable AI in drug-drug interactions prediction: A systematic review
Thanh Hoa Vo, Ngan Nguyen, Quang Hien Kha, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2112-2123
Open Access | Times Cited: 88
Object Counting and Instance Segmentation With Image-Level Supervision
Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 12389-12397
Open Access | Times Cited: 107
RCNet: road classification convolutional neural networks for intelligent vehicle system
Deepak Kumar Dewangan, Satya Prakash Sahu
Intelligent Service Robotics (2021) Vol. 14, Iss. 2, pp. 199-214
Closed Access | Times Cited: 87
U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery
Tuan Linh Giang, Kinh Bac Dang, Quang Toan Le, et al.
IEEE Access (2020) Vol. 8, pp. 186257-186273
Open Access | Times Cited: 69
Breast Density Classification with Deep Convolutional Neural Networks
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, et al.
(2018), pp. 6682-6686
Open Access | Times Cited: 69
Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation
Antonino Furnari, Sebastiano Battiato, Giovanni Maria Farinella
Lecture notes in computer science (2019), pp. 389-405
Closed Access | Times Cited: 64
Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam
Kinh Bac Dang, Manh Ha Nguyen, Đức Anh Nguyễn, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3270-3270
Open Access | Times Cited: 62
Multi-label ocular disease classification with a dense correlation deep neural network
Junjun He, Cheng Li, Ye Jin, et al.
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102167-102167
Closed Access | Times Cited: 55
RRL-GAT: Graph Attention Network-Driven Multilabel Image Robust Representation Learning
Bin Hu, Kehua Guo, Xiaokang Wang, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 12, pp. 9167-9178
Closed Access | Times Cited: 48
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach
Hanxiang Wang, Yanfen Li, L. Minh Dang, et al.
Computers in Industry (2021) Vol. 133, pp. 103545-103545
Closed Access | Times Cited: 40
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu, Xin Wang, Siwei Lyu
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-20
Open Access | Times Cited: 17
On learning discriminative embeddings for optimized top-k matching
Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, et al.
Pattern Recognition (2025), pp. 111341-111341
Closed Access
Using approximate matching and machine learning to uncover malicious activity in logs
Ronan Flynn, Oluwafemi Olukoya
Computers & Security (2025), pp. 104312-104312
Open Access
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada, Andrew Zisserman, Manish Kumar
arXiv (Cornell University) (2018)
Open Access | Times Cited: 49
Multi-label zero-shot human action recognition via joint latent ranking embedding
Qian Wang, Ke Chen
Neural Networks (2019) Vol. 122, pp. 1-23
Open Access | Times Cited: 46
A Convolutional Neural Network for Coastal Classification Based on ALOS and NOAA Satellite Data
Kinh Bac Dang, Van Bao Dang, Quang‐Thanh Bui, et al.
IEEE Access (2020) Vol. 8, pp. 11824-11839
Open Access | Times Cited: 40
Coastal landscape classification using convolutional neural network and remote sensing data in Vietnam
Tuan Linh Giang, Quang‐Thanh Bui, Thi Dieu Linh Nguyen, et al.
Journal of Environmental Management (2023) Vol. 335, pp. 117537-117537
Closed Access | Times Cited: 13
Collaborative and geometric multi-kernel learning for multi-class classification
Zhe Wang, Zonghai Zhu, Dongdong Li
Pattern Recognition (2019) Vol. 99, pp. 107050-107050
Closed Access | Times Cited: 41
Attentive Recurrent Neural Network for Weak-supervised Multi-label Image Classification
Liang Li, Shuhui Wang, Shuqiang Jiang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2018), pp. 1092-1100
Closed Access | Times Cited: 40
Where are the Masks: Instance Segmentation with Image-level Supervision
Issam Laradji, David Vázquez, Mark Schmidt
arXiv (Cornell University) (2019)
Open Access | Times Cited: 38
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
arXiv (Cornell University) (2021)
Open Access | Times Cited: 31
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Fei Yu, Jie Zhao, Yanjun Gong, et al.
Lecture notes in computer science (2019), pp. 714-722
Open Access | Times Cited: 32
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals
Emmanuel Okafor, Lambert Schomaker, Marco Wiering
Journal of Information and Telecommunication (2018) Vol. 2, Iss. 4, pp. 465-491
Open Access | Times Cited: 28
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