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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 Runtime Monitoring Framework to Enforce Invariants on Reinforcement Learning Agents Exploring Complex Environments
Piergiuseppe Mallozzi, Ezequiel Castellano, Patrizio Pelliccione, et al.
(2019), pp. 5-12
Closed Access | Times Cited: 11

Showing 11 citing articles:

Using formal methods for autonomous systems: Five recipes for formal verification
Matt Luckcuck
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2021) Vol. 237, Iss. 2, pp. 278-292
Open Access | Times Cited: 12
Towards Runtime Monitoring of Complex System Requirements for Autonomous Driving Functions
Dominik Grundt, Anna Köhne, Ishan Saxena, et al.
arXiv (Cornell University) (2022) Vol. 371, pp. 53-61
Open Access | Times Cited: 4
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Mingyue Zhang, Jialong Li, Haiyan Zhao, et al.
(2021), pp. 1-10
Open Access | Times Cited: 4
Runtime Verification and AI: Addressing Pragmatic Regulatory Challenges
Christian Colombo, Gordon J. Pace, Dylan Seychell
Lecture notes in computer science (2024), pp. 225-241
Closed Access
Runtime Verification of Self-Adaptive Systems with Changing Requirements
Marc Carwehl, Thomas Vogel, Genaína Nunes Rodrigues, et al.
(2023), pp. 104-114
Open Access | Times Cited: 1
Another Tool in the Box: Why use Formal Methods for Autonomous Systems?
Matt Luckcuck
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Safe Reinforcement Learning through Hierarchical Shielding with Self-Adaptive Techniques
Prasanth Senthilvelan, Jialong Li, Kenji Tei
Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications (2022)
Open Access | Times Cited: 1
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction
Abhishek Paudel, G. Stein
arXiv (Cornell University) (2023)
Open Access
Similarity-Based Shield Adaptation under Dynamic Environment
Prasanth Senthilvelan, Jialong Li, Kenji Tei
(2023) Vol. 16, pp. 33-39
Closed Access
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction
Abhishek Paudel, G. Stein
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 11281-11288
Closed Access
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Mingyue Zhang, Jialong Li, Haiyan Zhao, et al.
arXiv (Cornell University) (2021)
Open Access
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