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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:

Neuroevolution of self-interpretable agents
Yujin Tang, Duong Nguyen, David Ha
Proceedings of the Genetic and Evolutionary Computation Conference (2020)
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Deep Learning applications for COVID-19
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 304
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 73
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: 20
Rethinking Attention with Performers
Krzysztof Choromański, Valerii Likhosherstov, David Dohan, et al.
(2020)
Closed Access | Times Cited: 129
Rethinking Attention with Performers
Krzysztof Choromański, Valerii Likhosherstov, David Dohan, et al.
(2021)
Closed Access | Times Cited: 99
A Survey of Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 58
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder, Raghu Rajan, Xingyou Song, et al.
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 517-568
Open Access | Times Cited: 53
Collective intelligence for deep learning: A survey of recent developments
David Ha, Yujin Tang
Collective Intelligence (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 46
Explainable Reinforcement Learning: A Survey and Comparative Review
Stephanie Milani, Nicholay Topin, Manuela Veloso, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-36
Open Access | Times Cited: 30
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
Aritz D. Martinez, Javier Del Ser, Eneko Osaba, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 2, pp. 233-247
Closed Access | Times Cited: 42
The intersection of evolutionary computation and explainable AI
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1757-1762
Open Access | Times Cited: 33
FTPSG: Feature mixture transformer and potential-based subgoal generation for hierarchical multi-agent reinforcement learning
Isack Thomas Nicholaus, Dae-Ki Kang
Expert Systems with Applications (2025), pp. 126540-126540
Closed Access
Evolving modular soft robots without explicit inter-module communication using local self-attention
Federico Pigozzi, Yujin Tang, Eric Medvet, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 148-157
Open Access | Times Cited: 22
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Krzysztof Choromański, Valerii Likhosherstov, David Dohan, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 25
EvoJAX
Yujin Tang, Yingtao Tian, David Ha
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 308-311
Open Access | Times Cited: 13
Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs
Leonardo Lucio Custode, Giovanni Iacca
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022)
Open Access | Times Cited: 11
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
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 13
Evolving and merging hebbian learning rules
Joachim Winther Pedersen, Sebastian Risi
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 892-900
Open Access | Times Cited: 12
Learning Scene Representations for Human-assistive Displays Using Self-attention Networks
Jaime Ruiz-Serra, Jack White, Stephen Petrie, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 7, pp. 1-26
Closed Access | Times Cited: 1
Leveraging More of Biology in Evolutionary Reinforcement Learning
Bruno Gašperov, Marko Đurasević, Domagoj Jakobović
Lecture notes in computer science (2024), pp. 91-114
Closed Access | Times Cited: 1
Meta-Learning through Hebbian Plasticity in Random Networks
Elias Najarro, Sebastian Risi
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 10
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha, Matthew O’Kelly, Russ Tedrake, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 10
Visual Search as Active Inference
Emmanuel Daucé, Laurent Perrinet
Communications in computer and information science (2020), pp. 165-178
Open Access | Times Cited: 9
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Nicholay Topin, Stephanie Milani, Fei Fang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 11, pp. 9923-9931
Open Access | Times Cited: 9
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