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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:

Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems
Thomas Dalgaty, Filippo Moro, Yiğit Demirağ, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays
S. D’Agostino, Filippo Moro, Tristan Torchet, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
MoOx Synaptic Memristor with Programmable Multilevel Conductance for Reliable Neuromorphic Hardware
Xiaofei Dong, Hao Sun, Xinhua Lai, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 13, pp. 3668-3676
Closed Access | Times Cited: 7
Dynamics of specialization in neural modules under resource constraints
Gabriel Béna, Dan F. M. Goodman
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Dynamic resistive switching of WOx-based memristor for associative learning activities, on-receptor, and reservoir computing
Minseo Noh, Hyogeun Park, Sungjun Kim
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116381-116381
Closed Access
Tunable Synaptic Plasticity in 2D Ferroelectric Semiconductor Transistor for High-Precision Neuromorphic Computing
Tingting Ma, Yichen Wei
ACS Applied Electronic Materials (2025)
Closed Access
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
Hiroshi Nakano, Krzysztof Błachut, Kamil Jeziorek, et al.
Lecture notes in computer science (2025), pp. 51-68
Closed Access
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, Matěj Hejda, Tzamn Melendez Carmona, et al.
Optics Express (2025) Vol. 33, Iss. 2, pp. 2227-2227
Open Access
The road to commercial success for neuromorphic technologies
Dylan R. Muir, Sadique Sheik
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Organic ferroelectric transistors with composite dielectric for efficient neural computing
C.Y. Li, Fuguo Tian, Zhongzhong Luo, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 22
Closed Access | Times Cited: 2
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems
Jun-Ren Chen, Siyao Yang, Huaqiang Wu, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2023) Vol. 71, Iss. 3, pp. 1576-1580
Open Access | Times Cited: 5
A CMOS–memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity
Javad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2228
Open Access | Times Cited: 8
Efficient sparse spiking auto-encoder for reconstruction, denoising and classification
Ben Walters, Hamid Rahimian Kalatehbali, Zhengyu Cai, et al.
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 3, pp. 034005-034005
Open Access | Times Cited: 1
When in-memory computing meets spiking neural networks—A perspective on device-circuit-system-and-algorithm co-design
Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 3
Closed Access | Times Cited: 1
Leveraging Tunability of Localized-Interfacial Memristors for Efficient Handling of Complex Neural Networks
Eng Kang Koh, Putu Andhita Dananjaya, Lingli Liu, et al.
ACS Nano (2024) Vol. 18, Iss. 43, pp. 29602-29617
Closed Access | Times Cited: 1
A life in electrical engineering, glancing at biology
Silvia Conti, Elisa Vianello
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 3, pp. 145-146
Closed Access
Adiabatic Leaky Integrate-and-Fire Neurons with Tunable Refractory Period in 180nm CMOS Technology for Ultra-Low Energy Brain-Inspired Neuromorphic Computing
Marco Massarotto, Stefano Saggini, Mirko Loghi, et al.
Research Square (Research Square) (2024)
Open Access
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture
Karthik Raghunathan, Yiğit Demirağ, Emre Neftci, et al.
(2024), pp. 1-8
Closed Access
A Digital Neuromorphic System for Working Memory Based on Spiking Neuron-Astrocyte Network
Roghayeh Aghazadeh, Nima Salimi-Nezhad, Fatemeh Arezoomand, et al.
Neural Networks (2024) Vol. 182, pp. 106934-106934
Closed Access
Memristor-based model of neuronal excitability and synaptic potentiation
Ivan Kipelkin, Svetlana A. Gerasimova, A. I. Belov, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Advancing Neural Networks: Innovations and Impacts on Energy Consumption
A. P. Fedorova, Nikola Jovišić, Jordi Vallverdú, et al.
Advanced Electronic Materials (2024)
Open Access
Adiabatic leaky integrate and fire neurons with refractory period for ultra low energy neuromorphic computing
Marco Massarotto, Stefano Saggini, Mirko Loghi, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access
Scaling neuromorphic systems with 3D technologies
Elisa Vianello, Melika Payvand
Nature Electronics (2024) Vol. 7, Iss. 6, pp. 419-421
Closed Access
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
X.R. Wu, Velibor Bojkovic, Bin Gu, et al.
Lecture notes in computer science (2024), pp. 155-173
Closed Access
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