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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:

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

Showing 17 citing articles:

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: 29
Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives
Hengyang Lu, Long-kang Lin, Chenyou Fan, et al.
Knowledge-Based Systems (2025), pp. 113009-113009
Closed Access
Image–Text (IT)-Prompt: Prompt-Based Learning Framework Empowered by the Cluster-Based Nearest Class Mean (C-NCM) for Rehearsal-Free Contrastive Language–Image Pretraining (CLIP)-Based Continual Learning
Jiao Li, Wenlong Fu, Xiaolu Chen
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2966-2966
Open Access
Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners
Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 23881-23890
Closed Access | Times Cited: 3
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 23616-23626
Closed Access | Times Cited: 2
Few-Shot Incremental Object Detection in Aerial Imagery via Dual-Frequency Prompt
Xiaonan Lü, Wenhui Diao, Junxi Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Closed Access | Times Cited: 1
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
L. Q. Huang, Xusheng Cao, Haori Lu, et al.
Lecture notes in computer science (2024), pp. 214-231
Closed Access | Times Cited: 1
TMM-CLIP: Task-guided Multi-Modal Alignment for Rehearsal-Free Class Incremental Learning
Yu‐Fei Pan, Zhaoquan Yuan, Xiao Wu, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
One-Stage Prompt-Based Continual Learning
Youngeun Kim, Yuhang Li, Priyadarshini Panda
Lecture notes in computer science (2024), pp. 163-179
Closed Access
Prompting Continual Person Search
Pengcheng Zhang, Xiaohan Yu, Bai Xiao, et al.
(2024), pp. 2642-2651
Closed Access
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo, Yipeng Gao, Shenghao Fu, et al.
Lecture notes in computer science (2024), pp. 463-480
Closed Access
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg, K. J. Joseph, Vineeth N Balasubramanian, et al.
Lecture notes in computer science (2024), pp. 436-455
Closed Access
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning
Longrong Yang, Hanbin Zhao, Yunlong Yu, et al.
Lecture notes in computer science (2024), pp. 1-20
Closed Access
Rethinking Few-Shot Class-Incremental Learning: Learning from Yourself
Yu-Ming Tang, Yi-Xing Peng, Jingke Meng, et al.
Lecture notes in computer science (2024), pp. 108-128
Closed Access
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao, Songlin Dong, Yuhang He, et al.
Lecture notes in computer science (2024), pp. 89-106
Closed Access
Prompt-based Continual Learning for Extending Pretrained CLIP Models' Knowledge
Jiao Li, Lihong Cao, Tian Wang
(2024), pp. 1-8
Closed Access
Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang, et al.
Lecture notes in computer science (2024), pp. 357-374
Closed Access
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