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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:

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

Showing 1-25 of 125 citing articles:

A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 121
Federated Class-Incremental Learning
Jiahua Dong, Lixu Wang, Zhen Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10154-10163
Open Access | Times Cited: 100
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
James Smith, Leonid Karlinsky, Vyshnavi Gutta, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 93
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
Essentials for Class Incremental Learning
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021)
Open Access | Times Cited: 66
Class-Incremental Continual Learning Into the eXtended DER-Verse
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5497-5512
Open Access | Times Cited: 64
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi, Kuangqi Zhou, Jian Liang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16701-16710
Open Access | Times Cited: 42
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu, Swaminathan Gurumurthy, Zhizhong Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9591-9600
Open Access | Times Cited: 40
A Closer Look at Rehearsal-Free Continual Learning *
James Smith, Junjiao Tian, Shaunak Halbe, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2410-2420
Open Access | Times Cited: 33
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
Huiwei Lin, Baoquan Zhang, Shanshan Feng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 24246-24255
Open Access | Times Cited: 27
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dong-Wan Kim, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 25
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
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
Balanced residual distillation learning for 3D point cloud class-incremental semantic segmentation
Yuanzhi Su, Siyuan Chen, Yuan‐Gen Wang
Expert Systems with Applications (2025), pp. 126399-126399
Open Access | Times Cited: 1
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 9000-9009
Open Access | Times Cited: 51
Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli, Dario Fontanel, Antonio Tavera, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 34
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
Wuxuan Shi, Mang Ye
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1772-1781
Closed Access | Times Cited: 19
Semantic Knowledge Guided Class-Incremental Learning
Shaokun Wang, Weiwei Shi, Songlin Dong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 5921-5931
Closed Access | Times Cited: 17
No One Left Behind: Real-World Federated Class-Incremental Learning
Jiahua Dong, Hongliu Li, Yang Cong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2054-2070
Open Access | Times Cited: 17
CKDF: Cascaded Knowledge Distillation Framework for Robust Incremental Learning
Kunchi Li, Jun Wan, Shan Yu
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 3825-3837
Closed Access | Times Cited: 23
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
CRNet: A Fast Continual Learning Framework With Random Theory
Depeng Li, Zhigang Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10731-10744
Closed Access | Times Cited: 14
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