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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:

Using neuroscience to develop artificial intelligence
Shimon Ullman
Science (2019) Vol. 363, Iss. 6428, pp. 692-693
Closed Access | Times Cited: 201

Showing 1-25 of 201 citing articles:

Towards artificial general intelligence with hybrid Tianjic chip architecture
Jing Pei, Lei Deng, Sen Song, et al.
Nature (2019) Vol. 572, Iss. 7767, pp. 106-111
Closed Access | Times Cited: 790
Big data analytics for intelligent manufacturing systems: A review
Junliang Wang, Chuqiao Xu, Jie Zhang, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 738-752
Closed Access | Times Cited: 374
Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 306
Optoelectronic Perovskite Synapses for Neuromorphic Computing
Fumin Ma, Yangbin Zhu, Zhongwei Xu, et al.
Advanced Functional Materials (2020) Vol. 30, Iss. 11
Closed Access | Times Cited: 176
Anthropomorphism in AI
Arleen Salles, Kathinka Evers, Michele Farisco
AJOB Neuroscience (2020) Vol. 11, Iss. 2, pp. 88-95
Open Access | Times Cited: 159
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks
Henrique Siqueira, Sven Magg, Stefan Wermter
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 5800-5809
Open Access | Times Cited: 138
Extensive sampling for complete models of individual brains
Thomas Naselaris, Emily J. Allen, Kendrick Kay
Current Opinion in Behavioral Sciences (2021) Vol. 40, pp. 45-51
Open Access | Times Cited: 138
Soft Fiber Electronics Based on Semiconducting Polymer
Fengqiang Sun, Hao Jiang, Haoyu Wang, et al.
Chemical Reviews (2023) Vol. 123, Iss. 8, pp. 4693-4763
Closed Access | Times Cited: 85
Artificial intelligence and machine learning
Niklas Kühl, Max Schemmer, Marc Goutier, et al.
Electronic Markets (2022) Vol. 32, Iss. 4, pp. 2235-2244
Open Access | Times Cited: 75
Bio‐Inspired 3D Artificial Neuromorphic Circuits
Xuhai Liu, Fengyun Wang, Jie Su, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 22
Closed Access | Times Cited: 70
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 58
Artificial Intelligence Revolutionizing the Field of Medical Education
Suresh Narayanan, R Rajprasath, Elantamilan Durairaj, et al.
Cureus (2023)
Open Access | Times Cited: 53
Technology and Integration Roadmap for Optoelectronic Memristor
Jinyong Wang, Nasir Ilyas, Yujing Ren, et al.
Advanced Materials (2023) Vol. 36, Iss. 9
Closed Access | Times Cited: 49
Anthropomorphism in AI: hype and fallacy
Adriana Placani
AI and Ethics (2024) Vol. 4, Iss. 3, pp. 691-698
Open Access | Times Cited: 23
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation
Lei Deng, Guanrui Wang, Guoqi Li, et al.
IEEE Journal of Solid-State Circuits (2020) Vol. 55, Iss. 8, pp. 2228-2246
Closed Access | Times Cited: 126
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising
Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 6, pp. 2035-2050
Open Access | Times Cited: 117
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 102
When artificial intelligence meets educational leaders’ data-informed decision-making: A cautionary tale
Yinying Wang
Studies In Educational Evaluation (2020) Vol. 69, pp. 100872-100872
Open Access | Times Cited: 81
Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making
Yinying Wang
Journal of Educational Administration (2021) Vol. 59, Iss. 3, pp. 256-270
Open Access | Times Cited: 79
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
Rémy Kusters, Dusan Misevic, Hugues Berry, et al.
Frontiers in Big Data (2020) Vol. 3
Open Access | Times Cited: 76
Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence
Moren Lévesque, Martin Obschonka, Satish Nambisan
Entrepreneurship Theory and Practice (2020) Vol. 46, Iss. 4, pp. 803-832
Open Access | Times Cited: 75
Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System
Boyuan Mu, Liangchao Guo, Junhong Liao, et al.
Small (2021) Vol. 17, Iss. 38
Closed Access | Times Cited: 60
Light-Emitting Memristors for Optoelectronic Artificial Efferent Nerve
Yangbin Zhu, Chaoxing Wu, Zhongwei Xu, et al.
Nano Letters (2021) Vol. 21, Iss. 14, pp. 6087-6094
Closed Access | Times Cited: 57
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition
Feng Zhang, Xicheng Li, Chee Peng Lim, et al.
Information Fusion (2022) Vol. 88, pp. 296-304
Closed Access | Times Cited: 50
CuInP2S6‐Based Electronic/Optoelectronic Synapse for Artificial Visual System Application
Yiqun Liu, Yonghuang Wu, Haojie Han, et al.
Advanced Functional Materials (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 41
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