Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Brain-inspired Multilayer Perceptron with Spiking Neurons
Wenshuo Li, Hanting Chen, Jianyuan Guo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 773-783
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo, Kai Han, Han Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 12165-12175
Open Access | Times Cited: 557
An Image Patch is a Wave: Phase-Aware Vision MLP
Yehui Tang, Kai Han, Jianyuan Guo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10925-10934
Open Access | Times Cited: 92
Hire-MLP: Vision MLP via Hierarchical Rearrangement
Jianyuan Guo, Yehui Tang, Kai Han, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 816-826
Open Access | Times Cited: 66
Direct learning-based deep spiking neural networks: a review
Yufei Guo, Xuhui Huang, Zhe Ma
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 23
Research Progress of spiking neural network in image classification: a review
Li-Ye Niu, Ying Wei, Wenbo Liu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 19466-19490
Closed Access | Times Cited: 22
Direct training high-performance spiking neural networks for object recognition and detection
Hong Zhang, Yang Li, Bin He, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
Deep multi-threshold spiking-UNet for image processing
Hebei Li, Yueyi Zhang, Zhiwei Xiong, et al.
Neurocomputing (2024) Vol. 586, pp. 127653-127653
Open Access | Times Cited: 3
Spiking neural networks for autonomous driving: A review
Fernando Sevilla Martínez, Jordi Casas-Roma, Laia Subirats, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109415-109415
Open Access | Times Cited: 3
BALF: Simple and Efficient Blur Aware Local Feature Detector
Zhenjun Zhao
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 3350-3360
Open Access | Times Cited: 2
On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks
Sandi Baressi Šegota, Ivan Lorencin, Zoran Kovač, et al.
Biomedicines (2023) Vol. 11, Iss. 2, pp. 284-284
Open Access | Times Cited: 6
A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness
Bingsen Wang, Jian Cao, Jue Chen, et al.
(2023), pp. 3067-3075
Open Access | Times Cited: 5
Neuromorphic Event Signal-Driven Network for Video De-raining
Chengjie Ge, Xueyang Fu, Peng He, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 3, pp. 1878-1886
Open Access | Times Cited: 1
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
Zhanfeng Liao, Yan Liu, Qian Zheng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13790-13798
Open Access | Times Cited: 1
Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference
Boyan Li, Luziwei Leng, Shuaijie Shen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 1
High Accurate, Low Latency Conversion of Spiking Neural Networks with BLIF Neurons
Zhongxi Wang, Shen Lil, Zhong Ma, et al.
(2024), pp. 432-440
Closed Access | Times Cited: 1
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning
Lang Qin, Rui Yan, Huajin Tang
(2023), pp. 3049-3057
Open Access | Times Cited: 3
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Boyan Li, Luziwei Leng, Ran Cheng, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
LARNet: Towards Lightweight, Accurate and Real-Time Salient Object Detection
Zhenyu Wang, Yunzhou Zhang, Yan Liu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5207-5222
Open Access | Times Cited: 2
Hybrid event-enhanced image de-occlusion
Ning Gao, Feice Huang, Lei Zhang, et al.
(2024), pp. 24-24
Closed Access
A Novel Electronic Nose Using Biomimetic Spiking Neural Network for Mixed Gas Recognition
Yingying Xue, Shimeng Mou, Changming Chen, et al.
Chemosensors (2024) Vol. 12, Iss. 7, pp. 139-139
Open Access
A Lightweight Shallow Convolutional SNN Combined with STDP Fine-Tuning for Facial Expression Recognition
Guiyang Pu, Jiankun Chen, Rui Wang, et al.
(2024)
Open Access
Rapid Distance Estimation of Odor Sources by Electronic Nose with Multi-Sensor Fusion based on Spiking Neural Network
Yingying Xue, Shimeng Mou, Changming Chen, et al.
Sensors and Actuators B Chemical (2024), pp. 136665-136665
Closed Access
HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability
Yeon-Seong Jeong, Su Hwan Hwang, Dong‐Kyu Chae
(2024), pp. 983-993
Closed Access
Combining self-attention and depth-wise convolution for human pose estimation
Fan Zhang, Qingxuan Shi, Yanli Ma
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 5647-5661
Closed Access
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
Yulong Shi, Mingwei Sun, Yongshuai Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top