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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 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

Showing 1-25 of 179 citing articles:

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, et al.
IEEE Access (2024) Vol. 12, pp. 101603-101625
Open Access | Times Cited: 49
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, et al.
IEEE Access (2024) Vol. 12, pp. 41180-41218
Open Access | Times Cited: 35
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 19
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng, Shengjie Qiu, Chengming Shi, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 2
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang, Liyuan Wang, Guoliang Kang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19091-19101
Open Access | Times Cited: 38
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
An efficient quantum proactive incremental learning algorithm
Lingxiao Li, Jing Li, Yanqi Song, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 68, Iss. 1
Closed Access | Times Cited: 9
Hybrid neural networks for continual learning inspired by corticohippocampal circuits
Qianqian Shi, Faqiang Liu, Hongyi Li, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Continual learning for energy management systems: A review of methods and applications, and a case study
Aya Nabil Sayed, Yassine Himeur, Iraklis Varlamis, et al.
Applied Energy (2025) Vol. 384, pp. 125458-125458
Open Access | Times Cited: 1
On Continually Tracing Origins of LLM-Generated Text and Its Application in Detecting Cheating in Student Coursework
Quan Wang, Haoran Li
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 3, pp. 50-50
Open Access | Times Cited: 1
Continual Deep Learning for Time Series Modeling
Sio-Iong Ao, Haytham M. Fayek
Sensors (2023) Vol. 23, Iss. 16, pp. 7167-7167
Open Access | Times Cited: 21
Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation
Valerio Marsocci, Simone Scardapane
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 5049-5060
Open Access | Times Cited: 20
Asynchronous Federated Continual Learning
Donald Shenaj, Marco Toldo, Alberto Rigon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 5055-5063
Open Access | Times Cited: 20
Class-incremental learning with causal relational replay
Toan Nguyen, Duc Kieu, Bao Duong, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123901-123901
Closed Access | Times Cited: 6
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis
Muhammad Abulaish, Nesar Ahmad Wasi, Shachi Sharma
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 2
Closed Access | Times Cited: 5
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan, Danpei Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10891-10910
Open Access | Times Cited: 5
Interactive Continual Learning: Fast and Slow Thinking
Biqing Qi, Xinquan Chen, Junqi Gao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 6, pp. 12882-12892
Closed Access | Times Cited: 5
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation
Ao Ding, Xiaojian Yi, Yong Qin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107382-107382
Closed Access | Times Cited: 11
Continual learning and catastrophic forgetting
Gido M. van de Ven, Dhireesha Kudithipudi, Dhireesha Kudithipudi
Elsevier eBooks (2024)
Closed Access | Times Cited: 4
Knowledge fusion distillation and gradient-based data distillation for class-incremental learning
Lin Xiong, Xin Guan, Hailing Xiong, et al.
Neurocomputing (2025) Vol. 622, pp. 129286-129286
Closed Access
ReFNet: Rehearsal-based Graph Lifelong Learning with Multi-resolution Framelet Graph Neural Networks
Ming Li, Xiaoyi Yang, Yuting Chen, et al.
Information Sciences (2025) Vol. 700, pp. 121856-121856
Closed Access
Model to Learn Like Humans
Lu Wang, Ka Lung Law
Computer (2025) Vol. 58, Iss. 1, pp. 58-65
Closed Access
AI-based models to predict decompensation on traumatic brain injury patients
Ricardo de Souza RIBEIRO, Inês Fontes, Hélder P. Oliveira, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109634-109634
Closed Access
Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease
Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
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
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