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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:

Reinforcement learning in artificial and biological systems
Emre Neftci, Bruno B. Averbeck
Nature Machine Intelligence (2019) Vol. 1, Iss. 3, pp. 133-143
Closed Access | Times Cited: 250

Showing 1-25 of 250 citing articles:

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism
Zhaoping Xiong, Dingyan Wang, Xiaohong Liu, et al.
Journal of Medicinal Chemistry (2019) Vol. 63, Iss. 16, pp. 8749-8760
Closed Access | Times Cited: 692
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Mark Alber, Adrián Buganza Tepole, William R. Cannon, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 491
Artificial Intelligence and Machine Learning Techniques for Anomaly Detection and Threat Mitigation in Cloud-Connected Medical Devices
Omolola Akinola, Akintunde Akinola, Ifenna Victor Ifeanyi, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1886-1898
Open Access | Times Cited: 282
Artificial intelligence in recommender systems
Qian Zhang, Jie Lü, Yaochu Jin
Complex & Intelligent Systems (2020) Vol. 7, Iss. 1, pp. 439-457
Open Access | Times Cited: 279
Machine learning for active matter
Frank Cichos, K. Gustavsson, B. Mehlig, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 2, pp. 94-103
Closed Access | Times Cited: 273
Multiscale Modeling Meets Machine Learning: What Can We Learn?
Grace C. Y. Peng, Mark Alber, Adrián Buganza Tepole, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1017-1037
Open Access | Times Cited: 268
Reinforcement learning in robotic applications: a comprehensive survey
Bharat Singh, Rajesh Kumar, V. P. Singh
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 945-990
Closed Access | Times Cited: 164
Value-guided remapping of sensory cortex by lateral orbitofrontal cortex
Abhishek Banerjee, Giuseppe Parente, Jasper Teutsch, et al.
Nature (2020) Vol. 585, Iss. 7824, pp. 245-250
Closed Access | Times Cited: 161
Harnessing artificial intelligence for the next generation of 3D printed medicines
Moe Elbadawi, Laura E. McCoubrey, Francesca K. H. Gavins, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113805-113805
Open Access | Times Cited: 127
Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human Guidance for Autonomous Driving
Jingda Wu, Zhiyu Huang, Zhongxu Hu, et al.
Engineering (2022) Vol. 21, pp. 75-91
Open Access | Times Cited: 92
Battery prognostics and health management from a machine learning perspective
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 61
Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills
Pierre Vassiliadis, Elena Beanato, Traian Popa, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 8, pp. 1581-1598
Open Access | Times Cited: 24
Striatal dopamine signals reflect perceived cue–action–outcome associations in mice
Tobias W. Bernklau, Beatrice Righetti, Leonie S. Mehrke, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 4, pp. 747-757
Open Access | Times Cited: 20
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 11
AI on a chip
Akihiro Isozaki, Jeffrey Harmon, Yuqi Zhou, et al.
Lab on a Chip (2020) Vol. 20, Iss. 17, pp. 3074-3090
Closed Access | Times Cited: 111
An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots
Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta
ISA Transactions (2020) Vol. 102, pp. 280-294
Closed Access | Times Cited: 109
Prefrontal Cortex Predicts State Switches during Reversal Learning
Ramón Bartolo, Bruno B. Averbeck
Neuron (2020) Vol. 106, Iss. 6, pp. 1044-1054.e4
Open Access | Times Cited: 109
Reinforcement-learning in fronto-striatal circuits
Bruno B. Averbeck, John P. O’Doherty
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 147-162
Open Access | Times Cited: 94
A Survey on Machine Learning Techniques for Routing Optimization in SDN
Rashid Amin, Elisa Rojas, Aqsa Aqdus, et al.
IEEE Access (2021) Vol. 9, pp. 104582-104611
Open Access | Times Cited: 92
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Maria K. Eckstein, Linda Wilbrecht, Anne Collins
Current Opinion in Behavioral Sciences (2021) Vol. 41, pp. 128-137
Open Access | Times Cited: 83
Encoding memory in tube diameter hierarchy of living flow network
Mirna Kramar, Karen Alim
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 10
Open Access | Times Cited: 82
Recent Progress in Synaptic Devices Based on 2D Materials
Linfeng Sun, Wei Wang, Heejun Yang
Advanced Intelligent Systems (2020) Vol. 2, Iss. 5
Open Access | Times Cited: 72
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving
Jingda Wu, Zhiyu Huang, Wenhui Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 855-869
Open Access | Times Cited: 64
Harnessing machine learning for development of microbiome therapeutics
Laura E. McCoubrey, Moe Elbadawi, Mine Orlu, et al.
Gut Microbes (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 62
Circularly polarized light-sensitive, hot electron transistor with chiral plasmonic nanoparticles
Seok Daniel Namgung, Ryeong Myeong Kim, Yae‐Chan Lim, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 60
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