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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 Survey on Interactive Reinforcement Learning
Christian Arzate Cruz, Takeo Igarashi
(2020), pp. 1195-1209
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 27
A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 4, pp. 2121-2121
Open Access | Times Cited: 66
Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework
Yuan Kang, Yanjun Huang, Shuo Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7339-7351
Closed Access | Times Cited: 8
Literature Reviews in HCI: A Review of Reviews
Evropi Stefanidi, Marit Bentvelzen, Paweł W. Woźniak, et al.
(2023), pp. 1-24
Open Access | Times Cited: 17
Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses
Nathan Brown, Anthony Garland, Georges Fadel, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106998-106998
Open Access | Times Cited: 16
“Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains”
Nathan Brown, Anthony Garland, Georges Fadel, et al.
Materials & Design (2022) Vol. 218, pp. 110672-110672
Open Access | Times Cited: 25
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
Computational co-design of fibrous architecture
Achim Menges, Fabian Kannenberg, Christoph Zechmeister
Architectural Intelligence (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 20
Human engagement providing evaluative and informative advice for interactive reinforcement learning
Adam Bignold, Francisco Cruz, Richard Dazeley, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 25, pp. 18215-18230
Open Access | Times Cited: 19
Persistent rule-based interactive reinforcement learning
Adam Bignold, Francisco Cruz, Richard Dazeley, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 32, pp. 23411-23428
Closed Access | Times Cited: 21
Towards Design Principles for User-Centric Explainable AI in Fraud Detection
Douglas Cirqueira, Markus Helfert, Marija Bezbradica
Lecture notes in computer science (2021), pp. 21-40
Open Access | Times Cited: 20
Towards Bidirectional and Coadaptive Robotic Exoskeletons for Neuromotor Rehabilitation and Assisted Daily Living: a Review
Elsa Andrea Kirchner, Judith Bütefür
Current Robotics Reports (2022) Vol. 3, Iss. 2, pp. 21-32
Open Access | Times Cited: 12
A human-centered safe robot reinforcement learning framework with interactive behaviors
Shangding Gu, Alap Kshirsagar, Yali Du, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 7
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
Nikolaus Feith, Elmar Rueckert
(2024), pp. 220-226
Open Access | Times Cited: 2
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
Explainable reinforcement learning (XRL): a systematic literature review and taxonomy
Yanzhe Bekkemoen
Machine Learning (2023) Vol. 113, Iss. 1, pp. 355-441
Open Access | Times Cited: 6
Optimizing the Timing of Intelligent Suggestion in Virtual Reality
Difeng Yu, Ruta Desai, Ting Zhang, et al.
(2022)
Closed Access | Times Cited: 9
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference
Guangran Cheng, Yuanda Wang, Lu Dong, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 22, pp. 16247-16265
Closed Access | Times Cited: 4
Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology
Jindan Huang, Reuben M. Aronson, Elaine Schaertl Short
(2024)
Open Access | Times Cited: 1
A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns
Zhaoxing Li, Lei Shi, Alexandra I. Cristea, et al.
Designing Interactive Systems Conference (2021), pp. 1579-1590
Open Access | Times Cited: 10
Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments
Isaac Sheidlower, Allison Moore, Elaine Schaertl Short
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 863-870
Closed Access | Times Cited: 6
Hierarchical Reinforcement Learning Integrating With Human Knowledge for Practical Robot Skill Learning in Complex Multi-Stage Manipulation
Xing Liu, Gaozhao Wang, Zihao Liu, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3852-3862
Closed Access | Times Cited: 3
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm
Jin Wei‐Kocsis, Moein Sabounchi, Gihan J. Mendis, et al.
IEEE Transactions on Education (2023) Vol. 67, Iss. 3, pp. 395-404
Closed Access | Times Cited: 3
Learning Potential in Subgoal-Based Reward Shaping
Takato Okudo, Seiji Yamada
IEEE Access (2023) Vol. 11, pp. 17116-17137
Open Access | Times Cited: 2
Incorporating rivalry in reinforcement learning for a competitive game
Pablo Barros, Özge Nilay Yalçın, Ana Tanevska, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 23, pp. 16739-16752
Open Access | Times Cited: 3
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