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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:

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

Showing 1-25 of 121 citing articles:

Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 58
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 34
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
SAR Target Incremental Recognition Based on Features With Strong Separability
Fei Gao, Lingzhe Kong, Rongling Lang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Open Access | Times Cited: 23
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
iPINNs: incremental learning for Physics-informed neural networks
Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, et al.
Engineering With Computers (2024)
Closed 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
Graph-based interactive knowledge distillation for social relation continual learning
Wang Tang, Linbo Qing, Pingyu Wang, et al.
Neurocomputing (2025), pp. 129860-129860
Closed Access | Times Cited: 1
Dense Network Expansion for Class Incremental Learning
Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
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
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuming Tang, Yi-Xing Peng, Wei‐Shi Zheng
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1706-1716
Open Access | Times Cited: 17
MiSSNet: Memory-Inspired Semantic Segmentation Augmentation Network for Class-Incremental Learning in Remote Sensing Images
Jiajun Xie, Bin Pan, Xia Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 8
SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Liyang Liu, Minh Hieu Phan, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 4, pp. 1126-1147
Open Access | Times Cited: 16
Incrementer: Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class
Chao Shang, Hongliang Li, Fanman Meng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 7214-7224
Closed Access | Times Cited: 14
Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure
De Cheng, Yanling Ji, Dong Gong, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8184-8196
Open Access | Times Cited: 6
Large-scale continual learning for ancient Chinese character recognition
Yue Xu, Xu-Yao Zhang, Zhaoxiang Zhang, et al.
Pattern Recognition (2024) Vol. 150, pp. 110283-110283
Closed Access | Times Cited: 5
Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data
Fangzhou Han, Hongwei Dong, Lingyu Si, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 5
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Yuan-Ming Li, Ling-An Zeng, Jingke Meng, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 10, pp. 9112-9124
Closed Access | Times Cited: 5
Continual prune-and-select: class-incremental learning with specialized subnetworks
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, et al.
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17849-17864
Open Access | Times Cited: 12
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 18774-18784
Open Access | Times Cited: 12
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
Sungmin Cha, Sungjun Cho, Dasol Hwang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 11
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong, Wenqi Liang, Yang Cong, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11708-11717
Open Access | Times Cited: 11
Imbalance Mitigation for Continual Learning via Knowledge Decoupling and Dual Enhanced Contrastive Learning
Zhong Ji, Zhanyu Jiao, Qiang Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3450-3463
Closed Access | Times Cited: 4
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
Kexin Zhang, Yichao Wang, Xiu Li, et al.
(2024)
Open Access | Times Cited: 4
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