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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:

A comprehensive study of class incremental learning algorithms for visual tasks
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Neural Networks (2020) Vol. 135, pp. 38-54
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
Marc Masana, Xialei Liu, Bartłomiej Twardowski, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5513-5533
Open Access | Times Cited: 356
Three types of incremental learning
Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1185-1197
Open Access | Times Cited: 253
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn, Jihwan Kwak, Subin Lim, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 824-833
Open Access | Times Cited: 125
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3900-3909
Open Access | Times Cited: 62
A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 60
Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 58
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
Ao Ding, Yong Qin, Biao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111175-111175
Closed Access | Times Cited: 25
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
Hang Ran, Weijun Li, Lusi Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103664-103664
Open Access | Times Cited: 20
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, et al.
Neural Computation (2021), pp. 1-44
Open Access | Times Cited: 86
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo Garangau Menezes, Gustavo de Moura, Cézanne Alves, et al.
Neural Networks (2023) Vol. 161, pp. 476-493
Open Access | Times Cited: 42
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyuan Ma, Kai Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19068-19079
Open Access | Times Cited: 26
Knowledge aggregation networks for class incremental learning
Zhiling Fu, Zhe Wang, Xinlei Xu, et al.
Pattern Recognition (2023) Vol. 137, pp. 109310-109310
Closed Access | Times Cited: 24
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Xufeng Huang, Tingli Xie, Shuyang Luo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108212-108212
Closed Access | Times Cited: 12
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton Lima Aleixo, Juan G. Colonna, Marco Cristo, et al.
Journal of the Brazilian Computer Society (2024) Vol. 30, Iss. 1
Open Access | Times Cited: 11
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data
Yudong Cao, Minping Jia, Peng Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6234-6245
Closed Access | Times Cited: 38
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners
Jingli Yang, Changdong Wang, Changan Wei
Advanced Engineering Informatics (2022) Vol. 54, pp. 101815-101815
Closed Access | Times Cited: 30
Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion
Zhuang Wan, Fang Tian, Cheng Zhang
Animals (2023) Vol. 13, Iss. 12, pp. 1957-1957
Open Access | Times Cited: 21
Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Yanyan Shi, Dianxi Shi, Ziteng Qiao, et al.
Neural Networks (2023) Vol. 164, pp. 617-630
Closed Access | Times Cited: 19
Class-incremental continual learning model for plunger pump faults based on weight space meta-representation
Siyuan Liu, Jinying Huang, Jiancheng Ma, et al.
Mechanical Systems and Signal Processing (2023) Vol. 196, pp. 110309-110309
Closed Access | Times Cited: 18
Knowledge-Preserving continual person re-identification using Graph Attention Network
Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, et al.
Neural Networks (2023) Vol. 161, pp. 105-115
Closed Access | Times Cited: 17
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber, Roberto Corizzo, Bartłomiej Śnieżyński, et al.
IEEE Access (2024) Vol. 12, pp. 41364-41380
Open Access | Times Cited: 8
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven, Zhe Li, Andreas S. Tolias
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 3606-3615
Open Access | Times Cited: 33
SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition
Hongxiang Gao, Min Wu, Zhenghua Chen, et al.
Neural Networks (2022) Vol. 158, pp. 228-238
Closed Access | Times Cited: 24
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification
Giampaolo Bovenzi, Alfredo Nascita, Lixuan Yang, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 1, pp. 51-69
Closed Access | Times Cited: 16
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