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 Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization During Paced Deep Breathing
Denis Kleyko, Evgeny Osipov, Urban Wiklund
IEEE Access (2019) Vol. 7, pp. 34403-34415
Open Access | Times Cited: 9
Denis Kleyko, Evgeny Osipov, Urban Wiklund
IEEE Access (2019) Vol. 7, pp. 34403-34415
Open Access | Times Cited: 9
Showing 9 citing articles:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-52
Open Access | Times Cited: 82
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-52
Open Access | Times Cited: 82
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Denis Kleyko, Mike Davies, Edward Paxon Frady, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 10, pp. 1538-1571
Open Access | Times Cited: 47
Denis Kleyko, Mike Davies, Edward Paxon Frady, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 10, pp. 1538-1571
Open Access | Times Cited: 47
Hyper-Dimensional Computing Challenges and Opportunities for AI Applications
Eman Hassan, Yasmin Halawani, Baker Mohammad, et al.
IEEE Access (2021) Vol. 10, pp. 97651-97664
Open Access | Times Cited: 44
Eman Hassan, Yasmin Halawani, Baker Mohammad, et al.
IEEE Access (2021) Vol. 10, pp. 97651-97664
Open Access | Times Cited: 44
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.
Denis Kleyko, Mike Davies, E. Paxon Frady, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 35
Denis Kleyko, Mike Davies, E. Paxon Frady, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 35
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures
Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6583-6597
Open Access | Times Cited: 20
Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6583-6597
Open Access | Times Cited: 20
Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing
Denis Kleyko, Evgeny Osipov, Daswin De Silva, et al.
Lecture notes in computer science (2019), pp. 64-79
Closed Access | Times Cited: 20
Denis Kleyko, Evgeny Osipov, Daswin De Silva, et al.
Lecture notes in computer science (2019), pp. 64-79
Closed Access | Times Cited: 20
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics
Pedro Alonso, Kumar Shridhar, Denis Kleyko, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-9
Open Access | Times Cited: 12
Pedro Alonso, Kumar Shridhar, Denis Kleyko, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-9
Open Access | Times Cited: 12
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics.
Pedro Alonso, Kumar Shridhar, Denis Kleyko, et al.
(2020)
Closed Access | Times Cited: 12
Pedro Alonso, Kumar Shridhar, Denis Kleyko, et al.
(2020)
Closed Access | Times Cited: 12
Hyperdimensional computing: A fast, robust, and interpretable paradigm for biological data
Michiel Stock, Wim Van Criekinge, Dimitri Boeckaerts, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012426-e1012426
Open Access
Michiel Stock, Wim Van Criekinge, Dimitri Boeckaerts, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012426-e1012426
Open Access
