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:

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 6, pp. 1-40
Open Access | Times Cited: 70

Showing 1-25 of 70 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

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

A neuro-vector-symbolic architecture for solving Raven’s progressive matrices
Michael Hersche, Mustafa Zeqiri, Luca Benini, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 363-375
Closed Access | Times Cited: 39

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

Why concepts are (probably) vectors
Steven T. Piantadosi, Dyana C.Y. Muller, Joshua Rule, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 9, pp. 844-856
Closed Access | Times Cited: 4

Hyperdimensional Representation Learning for Node Classification and Link Prediction
Abhishek Dalvi, Vasant Honavar
(2025), pp. 88-97
Closed 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

Unpaired Image Translation via Vector Symbolic Architectures
Justin D. Theiss, Jay Leverett, Daeil Kim, et al.
Lecture notes in computer science (2022), pp. 17-32
Closed 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

Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence
Cheng-Yang Chang, Yu-Chuan Chuang, Chi-Tse Huang, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) Vol. 13, Iss. 1, pp. 119-136
Closed Access | Times Cited: 11

Cross-Layer Reliability Modeling of Dual-Port FeFET: Device-Algorithm Interaction
Shubham Kumar, Swetaki Chatterjee, Simon Thomann, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2023) Vol. 70, Iss. 7, pp. 2891-2903
Open Access | Times Cited: 10

HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Kenny Schlegel, Peer Neubert, Peter Protzel
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Open Access | Times Cited: 18

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

Nighttime Thermal Infrared Image Translation Integrating Visible Images
Shihao Yang, Min Sun, Xiayin Lou, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 666-666
Open Access | Times Cited: 2

Determining the Number of Clusters in Clinical Response of TMS Treatment using Hyperdimensional Computing
Lulu Ge, Aaron N. McInnes, Alik S. Widge, et al.
Journal of Signal Processing Systems (2024)
Closed Access | Times Cited: 2

Representation of spatial objects by shift-equivariant similarity-preserving hypervectors
Dmitri A. Rachkovskij
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22387-22403
Closed Access | Times Cited: 9

WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) Vol. 13, Iss. 1, pp. 137-149
Open Access | Times Cited: 5

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 10993-10998
Open Access | Times Cited: 8

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences
Dmitri A. Rachkovskij, Denis Kleyko
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Open Access | Times Cited: 8

Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence
Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, et al.
Neural Computation (2023) Vol. 35, Iss. 12, pp. 2006-2023
Open Access | Times Cited: 4

Optical hyperdimensional soft sensing: speckle-based touch interface and tactile sensor
Kei Kitagawa, Kohei Tsuji, Koyo Sagehashi, et al.
Optics Express (2024) Vol. 32, Iss. 3, pp. 3209-3209
Open Access | Times Cited: 1

Vector Symbolic Finite State Machines in Attractor Neural Networks
Madison Cotteret, Hugh Greatorex, Martin Ziegler, et al.
Neural Computation (2024) Vol. 36, Iss. 4, pp. 549-595
Open Access | Times Cited: 1

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