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:

A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification
Samira Pouyanfar, Tianyi Wang, Shu‐Ching Chen
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (2019), pp. 199-204
Closed Access | Times Cited: 17

Showing 17 citing articles:

A review of methods for imbalanced multi-label classification
Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak
Pattern Recognition (2021) Vol. 118, pp. 107965-107965
Closed Access | Times Cited: 270

Multi-label learning for crop leaf diseases recognition and severity estimation based on convolutional neural networks
Miaomiao Ji, Keke Zhang, Qiufeng Wu, et al.
Soft Computing (2020) Vol. 24, Iss. 20, pp. 15327-15340
Closed Access | Times Cited: 53

HS-KDNet: A Lightweight Network Based on Hierarchical-Split Block and Knowledge Distillation for Fault Diagnosis With Extremely Imbalanced Data
Jin Deng, Wenjuan Jiang, Ye Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 48

From generalized zero-shot learning to long-tail with class descriptors
Dvir Samuel, Yuval Atzmon, Gal Chechik
(2021), pp. 286-295
Open Access | Times Cited: 27

Multiple kernel learning for label relation and class imbalance in multi-label learning
Mingjing Han, Han Zhang
Information Sciences (2022) Vol. 613, pp. 344-356
Closed Access | Times Cited: 18

A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis
Qi Zhu, Ting Zhu, Rui Zhang, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 2, pp. 675-689
Closed Access | Times Cited: 8

Multi-task Multimodal Learning for Disaster Situation Assessment
Tianyi Wang, Yudong Tao, Shu‐Ching Chen, et al.
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (2020), pp. 209-212
Closed Access | Times Cited: 10

Discriminative Fast Hierarchical Learning for Multiclass Image Classification
Yu Zheng, Jianping Fan, Ji Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 8, pp. 2779-2790
Closed Access | Times Cited: 10

A Cross-Domain Multimodal Supervised Latent Topic Model for Item Tagging and Cold-Start Recommendation
Rui Tang, Cheng Yang, Yuxuan Wang
IEEE Multimedia (2023) Vol. 30, Iss. 3, pp. 48-62
Closed Access | Times Cited: 2

Majority biased facial emotion recognition using residual variational autoencoders
Sankhadeep Chatterjee, Soumyajit Maity, Kushankur Ghosh, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 13659-13688
Closed Access | Times Cited: 2

Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production
Minh Hung Ho, Amélie Ponchet-Durupt, Hai Canh Vu, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4602-4602
Open Access | Times Cited: 2

Multi-Label Multi-Task Learning with Dynamic Task Weight Balancing
Tianyi Wang, Shu‐Ching Chen
(2020), pp. 245-252
Closed Access | Times Cited: 4

Social Media Multimodal Information Analysis based on the BiLSTM-Attention-CNN-XGBoost Ensemble Neural Network
Ling Jixian, Gang An, Zhihao Su, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access | Times Cited: 1

Hierarchical Multimodal Fusion Network with Dynamic Multi-task Learning
Tianyi Wang, Shu‐Ching Chen
(2021), pp. 208-214
Closed Access | Times Cited: 1

From Generalized zero-shot learning to long-tail with class descriptors
Dvir Samuel, Yuval Atzmon, Gal Chechik
arXiv (Cornell University) (2020)
Open Access

A Comprehensive Study on Crop Disease Prediction Using Learning Approaches
S. Sandeepkumar, Karthick Mohan
Lecture notes on data engineering and communications technologies (2022), pp. 99-114
Closed Access

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