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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:

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: 46

Showing 1-25 of 46 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
Flexible control of sequence working memory in the macaque frontal cortex
Jingwen Chen, Cong Zhang, Peiyao Hu, et al.
Neuron (2024) Vol. 112, Iss. 20, pp. 3502-3514.e6
Closed Access | Times Cited: 7
Efficient Video and Audio Processing with Loihi 2
Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 13481-13485
Open Access | Times Cited: 6
Neuromorphic visual scene understanding with resonator networks
Alpha Renner, Lazar Supic, Andreea Danielescu, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 641-652
Closed Access | Times Cited: 6
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Dmitri A. Rachkovskij
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 909-923
Open Access | Times Cited: 5
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Christoph Stöckl, Yukun Yang, Wolfgang Maass
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Early Termination for Hyperdimensional Computing Using Inferential Statistics
Pu Yi, Yifan Yang, Chae Young Lee, et al.
(2025), pp. 342-360
Closed Access
Mental programming of spatial sequences in working memory in the macaque frontal cortex
Zhenghe Tian, Jingwen Chen, Cong Zhang, et al.
Science (2024) Vol. 385, Iss. 6716
Closed Access | Times Cited: 4
Principled neuromorphic reservoir computing
Denis Kleyko, Christopher J. Kymn, Anthony Thomas, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Classification using hyperdimensional computing: a review with comparative analysis
Pere Vergés, Mike Heddes, Igor Nunes, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
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: 19
Perceptron Theory Can Predict the Accuracy of Neural Networks
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 9885-9899
Open Access | Times Cited: 12
Visual odometry with neuromorphic resonator networks
Alpha Renner, Lazar Supic, Andreea Danielescu, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 653-663
Closed Access | Times Cited: 3
Memory-inspired spiking hyperdimensional network for robust online learning
Zhuowen Zou, Haleh Alimohamadi, Ali Zakeri, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
The brain’s unique take on algorithms
James B. Aimone, Ojas Parekh
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Computing With Residue Numbers in High-Dimensional Representation
Christopher J Kymn, Denis Kleyko, E. Paxon Frady, et al.
Neural Computation (2024), pp. 1-37
Open Access | Times Cited: 3
Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval
Théo Desbordes, Jean-Rémi King, Stanislas Dehaene
Cell Reports (2024) Vol. 43, Iss. 3, pp. 113847-113847
Open Access | Times Cited: 3
Efficient Decoding of Compositional Structure in Holistic Representations
Denis Kleyko, Connor Bybee, Ping-Chen Huang, et al.
Neural Computation (2023) Vol. 35, Iss. 7, pp. 1159-1186
Open Access | Times Cited: 8
Hyperdimensional computing with holographic and adaptive encoder
Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations
Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, et al.
(2024), pp. 1-6
Open Access | Times Cited: 2
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2701-2713
Open Access | Times Cited: 14
2T2R RRAM-Based In-Memory Hyperdimensional Computing Encoder for Spatio-Temporal Signal Processing
Zhi Li, Rui Bao, Woyu Zhang, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 5, pp. 2614-2618
Closed Access | Times Cited: 1
AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs
Marco Angioli, Saeid Jamili, Marcello Barbirotta, et al.
(2024)
Open Access | Times Cited: 1
FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search
Zhicheng Xu, Che-Kai Liu, Chao Li, et al.
(2024), pp. 1-6
Open Access | Times Cited: 1
Hyperdimensional computing: a framework for stochastic computation and symbolic AI
Mike Heddes, Igor Nunes, Tony Givargis, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
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