Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, et al.
Journal of Intelligent & Robotic Systems (2022) Vol. 105, Iss. 1
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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
Brain-inspired learning in artificial neural networks: A review
Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, et al.
APL Machine Learning (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 38
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
Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models
Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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
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
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
Vahid Safavi, Najmeh Bazmohammadi, Juan C. Vásquez, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 587-587
Open Access | Times Cited: 14
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
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: 20
Continual Learning: A Review of Techniques, Challenges and Future Directions
Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 6, pp. 2526-2546
Closed Access | Times Cited: 6
A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions
Rui Zhao, Yun Li, Yuze Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 19365-19398
Closed Access | Times Cited: 6
DRL-Based Computation Offloading With Queue Stability for Vehicular-Cloud-Assisted Mobile Edge Computing Systems
Guifu Ma, Xiaowei Wang, Manjiang Hu, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 4, pp. 2797-2809
Closed Access | Times Cited: 23
Transfer Without Forgetting
Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, et al.
Lecture notes in computer science (2022), pp. 692-709
Closed Access | Times Cited: 21
Embracing the AI/automation age: preparing your workforce for humans and machines working together
Emmanuel Senior Tenakwah, Chrystie Watson
Strategy and Leadership (2024)
Closed Access | Times Cited: 4
Online deep learning’s role in conquering the challenges of streaming data: a survey
Muhammad Sulaiman, Mina Farmanbar, Shingo Kagami, et al.
Knowledge and Information Systems (2025)
Open Access
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu, Hossein Rahmani, Li Xu, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
A Critical AI View on Autonomous Vehicle Navigation: The Growing Danger
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3660-3660
Open Access | Times Cited: 3
Spiking neural networks for autonomous driving: A review
Fernando Sevilla Martínez, Jordi Casas-Roma, Laia Subirats, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109415-109415
Open Access | Times Cited: 3
Squeeze-EnGAN: Memory Efficient and Unsupervised Low-Light Image Enhancement for Intelligent Vehicles
Haegyo In, Ji Hyang Kweon, Chang-Joo Moon
Sensors (2025) Vol. 25, Iss. 6, pp. 1825-1825
Open Access
Towards on-device continual learning with Binary Neural Networks in industrial scenarios
Lorenzo Vorabbi, Angelo Carraggi, Davide Maltoni, et al.
Image and Vision Computing (2025), pp. 105524-105524
Closed Access
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System
Jie Du, Peng Liu, Chi‐Man Vong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11332-11345
Closed Access | Times Cited: 9
Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts
Xiaofan Yu, Tajana Rosing, Yunhui Guo
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2355-2366
Closed Access | Times Cited: 2
A Survey of Multimodal Perception Methods for Human–Robot Interaction in Social Environments
John A. Duncan, Farshid Alambeigi, Mitch Pryor
ACM Transactions on Human-Robot Interaction (2024) Vol. 13, Iss. 4, pp. 1-50
Open Access | Times Cited: 2
Barrier Lyapunov Function-based Backstepping Controller Design for Path Tracking of Autonomous Vehicles
Alireza Hosseinnajad, Navid Mohajer, Saeid Nahavandi
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 2
Sampled-data funnel control and its use for safe continual learning
Lukas Lanza, Dario Dennstädt, Karl Worthmann, et al.
Systems & Control Letters (2024) Vol. 192, pp. 105892-105892
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top