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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:

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

Showing 21 citing articles:

Intelligent games meeting with multi-agent deep reinforcement learning: a comprehensive review
Yiqin Wang, Yufeng Wang, Feng Tian, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
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
Evolving Feature Selection: Synergistic Backward and Forward Deletion Method Utilizing Global Feature Importance
Takafumi Nakanishi, Ponlawat Chophuk, Krisana Chinnasarn
IEEE Access (2024) Vol. 12, pp. 88696-88714
Open Access | Times Cited: 4
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review
Adam Bignold, Francisco Cruz, Matthew E. Taylor, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 4, pp. 3621-3644
Closed Access | Times Cited: 17
PCaLDI: Explainable Similarity and Distance Metrics Using Principal Component Analysis Loadings for Feature Importance
Takafumi Nakanishi
IEEE Access (2024) Vol. 12, pp. 52623-52640
Open Access | Times Cited: 1
Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario
Francisco Cruz, Richard Dazeley, Peter Vamplew, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 25, pp. 18113-18130
Open Access | Times Cited: 12
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios
Francisco Cruz, Charlotte Young, Richard Dazeley, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 894-901
Open Access | Times Cited: 5
Rethinking high-resolution remote sensing image segmentation not limited to technology: a review of segmentation methods and outlook on technical interpretability
Qianpeng Chong, Mengying Ni, Jianjun Huang, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 11, pp. 3689-3716
Closed Access
A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning
Neeraj Tiwary, Shahrul Azman Mohd Noah, Fariza Fauzi, et al.
IEEE Access (2024) Vol. 12, pp. 91999-92019
Open Access
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks
Tao Li, Yunian Pan, Quanyan Zhu
Advances in information security (2024), pp. 25-76
Closed Access
An Ontological Foundation for the Verification and Validation of Complex Systems in the Age of Artificial Intelligence
Michael Halvorson, Noah Moyers, Shreyas L. Raghu, et al.
(2024), pp. 121-151
Closed Access
LIME-Mine: Explainable Machine Learning for User Behavior Analysis in IoT Applications
Xiaobo Cai, Jiajin Zhang, Yue Zhang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3234-3234
Open Access
PCAIME: Principal Component Analysis-Enhanced Approximate Inverse Model Explanations Through Dimensional Decomposition and Expansion
Takafumi Nakanishi
IEEE Access (2024) Vol. 12, pp. 121093-121113
Open Access
Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models
Bryan Lavender, Sandip Sen
Lecture notes in computer science (2024), pp. 137-151
Closed Access
Exploring explainable AI: a bibliometric analysis
Chetan Sharma, Shamneesh Sharma, Komal Sharma, et al.
Deleted Journal (2024) Vol. 6, Iss. 11
Open Access
Explainable AI (XAI) in Healthcare - Tools and Regulations
Paweł Raif, Renata Suchanek-Raif, Ewaryst Tkacz
(2023), pp. 151-152
Closed Access | Times Cited: 1
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario
Hugo Munoz, Ernesto Portugal, Angel Ayala, et al.
(2022), pp. 1-8
Open Access | Times Cited: 1
The Explainable Model to Multi-Objective Reinforcement Learning Toward an Autonomous Smart System
Tomohiro Yamaguchi
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 18-34
Closed Access
Intellectual Structure of Explainable Artificial Intelligence: A Bibliometric Reference to Research Constituents
Y-H. Chen
(2023)
Open Access
Intellectual Structure of Explainable Artificial Intelligence: a Bibliometric Reference to Research Constituents
Y-H. Chen, Chetan Sharma, Shamneesh Sharma, et al.
Research Square (Research Square) (2023)
Open Access
Reinforcement Learning for Intelligent Control of AC Machine Drives: A Review
Nabil Farah, Gang Lei, Jianguo Zhu, et al.
2021 IEEE International Future Energy Electronics Conference (IFEEC) (2023), pp. 1-6
Closed Access
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