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:

Explainable Reinforcement Learning: A Survey
Erika Puiutta, Eric MSP Veith
Lecture notes in computer science (2020), pp. 77-95
Closed Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Xuhong Li, Haoyi Xiong, Xingjian Li, et al.
Knowledge and Information Systems (2022) Vol. 64, Iss. 12, pp. 3197-3234
Open Access | Times Cited: 236
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1226-1252
Open Access | Times Cited: 229
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, et al.
Computer Science Review (2021) Vol. 43, pp. 100452-100452
Closed Access | Times Cited: 152
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
Gesina Schwalbe, Bettina Finzel
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 3043-3101
Open Access | Times Cited: 134
Perturbation-based methods for explaining deep neural networks: A survey
Maksims Ivanovs, Roberts Kadiķis, Kaspars Ozols
Pattern Recognition Letters (2021) Vol. 150, pp. 228-234
Open Access | Times Cited: 126
Explainable AI Over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc‐Viet Pham, Rukhsana Ruby, et al.
IEEE Open Journal of the Communications Society (2022) Vol. 3, pp. 2106-2136
Open Access | Times Cited: 70
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 78-108
Open Access | Times Cited: 60
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care
Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, et al.
(2023), pp. 1-18
Open Access | Times Cited: 51
Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review
Yazeed Yasin Ghadi, Tehseen Mazhar, Tamara Al Shloul, et al.
IEEE Access (2024) Vol. 12, pp. 12699-12719
Open Access | Times Cited: 22
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms
Adriano Koshiyama, Emre Kazim, Philip Treleaven, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 22
A survey on interpretable reinforcement learning
Claire Glanois, Paul Weng, Matthieu Zimmer, et al.
Machine Learning (2024) Vol. 113, Iss. 8, pp. 5847-5890
Closed Access | Times Cited: 18
Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering–A Critical Review
Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, et al.
IEEE Access (2021) Vol. 9, pp. 82300-82317
Open Access | Times Cited: 95
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Junaid Qadir, et al.
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 2, pp. 90-109
Open Access | Times Cited: 95
A survey on artificial intelligence assurance
Feras A. Batarseh, Laura E. Beane Freeman, Chih‐Hao Huang
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 84
Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 83
Explainable Deep Reinforcement Learning: State of the Art and Challenges
George A. Vouros
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-39
Open Access | Times Cited: 57
On the Explainability of Natural Language Processing Deep Models
Julia El Zini, Mariette Awad
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-31
Open Access | Times Cited: 54
Explainable autonomous robots: a survey and perspective
Tatsuya Sakai, Takayuki Nagai
Advanced Robotics (2022) Vol. 36, Iss. 5-6, pp. 219-238
Open Access | Times Cited: 48
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 59-71
Open Access | Times Cited: 47
Naturally Interpretable Control Policies via Graph-Based Genetic Programming
Giorgia Nadizar, Eric Medvet, Dennis G. Wilson
Lecture notes in computer science (2024), pp. 73-89
Closed Access | Times Cited: 9
Toward Data-Driven Optimal Control: A Systematic Review of the Landscape
Krupa Prag, Matthew Woolway, Turgay Çelik
IEEE Access (2022) Vol. 10, pp. 32190-32212
Open Access | Times Cited: 35
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
Richard Dazeley, Peter Vamplew, Francisco Cruz
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16893-16916
Open Access | Times Cited: 21
A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13164-13184
Open Access | Times Cited: 17
RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN
Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, et al.
IEEE Access (2022) Vol. 10, pp. 113808-113826
Open Access | Times Cited: 24
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin, Ivana Dusparić
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-33
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top