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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:

Spiking neural networks for frame-based and event-based single object localization
Sami Barchid, José Mennesson, Jason K. Eshraghian, et al.
Neurocomputing (2023) Vol. 559, pp. 126805-126805
Open Access | Times Cited: 25

Showing 25 citing articles:

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang, Yanqi Chen, Jianhao Ding, et al.
Science Advances (2023) Vol. 9, Iss. 40
Open Access | Times Cited: 101
Spiking neural networks for nonlinear regression
Alexander Henkes, Jason K. Eshraghian, Henning Wessels
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 9
An Analytical Estimation of Spiking Neural Networks Energy Efficiency
Edgar Lemaire, Loïc Cordone, Andréa Castagnetti, et al.
Lecture notes in computer science (2023), pp. 574-587
Open Access | Times Cited: 14
Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics
Saurabh Balkrishna Tandale, Marcus Stoffel
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 412, pp. 116095-116095
Closed Access | Times Cited: 13
Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response
Saurabh Balkrishna Tandale, Marcus Stoffel
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 422, pp. 116847-116847
Open Access | Times Cited: 5
A Review of Computing with Spiking Neural Networks
Jiadong Wu, Yinan Wang, Zhiwei Li, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 2909-2939
Open Access | Times Cited: 5
Event-based optical flow: Method categorisation and review of techniques that leverage deep learning
Robert Guamán-Rivera, José Delpiano, Rodrigo Verschae
Neurocomputing (2025), pp. 129899-129899
Closed Access
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration
Fabrizio Ottati, Chang Gao, Qinyu Chen, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) Vol. 13, Iss. 4, pp. 1015-1025
Open Access | Times Cited: 12
Trainable Spiking-YOLO for low-latency and high-performance object detection
Mengwen Yuan, Chengjun Zhang, Ziming Wang, et al.
Neural Networks (2023) Vol. 172, pp. 106092-106092
Closed Access | Times Cited: 12
Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors
Marcus Stoffel, Saurabh Balkrishna Tandale
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Scnntraffic: A Lightweight and Energy-Efficient Traffic Classification Method Based on Spiking Convolution Neural Networks
Qin Zeng, Hao Zhang, Yaqi Chen, et al.
(2025)
Closed Access
qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks
Silong Li, Ningning Wang, Xinyu Kang, et al.
Neural Computing and Applications (2025)
Closed Access
Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
Saurabh Balkrishna Tandale, Marcus Stoffel
Engineering With Computers (2024) Vol. 40, Iss. 5, pp. 2703-2738
Open Access | Times Cited: 3
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision
Qiang Qu, Xiaoming Chen, Yuk Ying Chung, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 6579-6591
Open Access | Times Cited: 2
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery
Aitor Martinez Seras, Javier Del Ser, Pablo G. Bringas
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 5756-5763
Open Access | Times Cited: 4
SC-IZ: A Low-Cost Biologically Plausible Izhikevich Neuron for Large-Scale Neuromorphic Systems Using Stochastic Computing
Wei Liu, Shanlin Xiao, Bo Li, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 909-909
Open Access | Times Cited: 1
Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based Vision
Sami Barchid, José Mennesson, Chaabane Djéraba
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 3903-3912
Closed Access | Times Cited: 3
A Dynamic Vision Sensor Object Recognition Model Based on Trainable Event-Driven Convolution and Spiking Attention Mechanism
Peng Zheng, Qian Zhou
(2024)
Open Access
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
Sreyes Venkatesh, Răzvan V. Marinescu, Jason K. Eshraghian
(2024) Vol. 31, pp. 1-10
Open Access
Spiking Neural Networks for Scalable Visual Place Recognition
Somayeh Hussaini
(2024)
Open Access
A Review of Neuromorphic Sound Source Localization and Echolocation-Based Navigation Systems
Eugénie Dalmas, F. Danneville, F. Elbahhar, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4858-4858
Open Access
Application of SNNS Model Based On Multi-Dimensional Attention In Drone Radio Frequency Signal Classification
Zheng Si, Chao Liu, Jianyu Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 231-235
Closed Access
Exploring 8-Bit Arithmetic for Training Spiking Neural Networks
Tim J Fernandez-Hart, Tatiana Kalganova, James C. Knight
(2024), pp. 1-6
Open Access
Research on Quantitative Remote Sensing Monitoring Method of Ecological Environment Based on Machine Vision
Wang Cen, Hongmei Bu, Jietao Wang, et al.
(2023), pp. 226-230
Closed Access
NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware
Tim Stadtmann, Benedikt Wahl, Tobias Gemmeke
(2023), pp. 1535-1540
Closed Access
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