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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:

Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su, Yuhong Chou, Yifan Hu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 6532-6542
Open Access | Times Cited: 24

Showing 24 citing articles:

Brain-Inspired Computing: A Systematic Survey and Future Trends
Guoqi Li, Lei Deng, Huajin Tang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 6, pp. 544-584
Open Access | Times Cited: 13
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
Xinyu Shi, Zecheng Hao, Zhaofei Yu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 5610-5619
Closed Access | Times Cited: 5
Biologically Inspired Spatial–Temporal Perceiving Strategies for Spiking Neural Network
Yu Zheng, Jingfeng Xue, Jing Liu, et al.
Biomimetics (2025) Vol. 10, Iss. 1, pp. 48-48
Open Access
Spiking Neural Network Target Detection Method Based on Efficient Deep Feature Extraction
永斌 黄
Computer Science and Application (2025) Vol. 15, Iss. 01, pp. 187-198
Closed Access
Efficient Spiking Neural Network for RGB–Event Fusion-Based Object Detection
Liangwei Fan, Jingjun Yang, Lei Wang, et al.
Electronics (2025) Vol. 14, Iss. 6, pp. 1105-1105
Open Access
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection
X. Luo, Man Yao, Yuhong Chou, et al.
Lecture notes in computer science (2024), pp. 253-272
Closed Access | Times Cited: 4
EventAugment: Learning Augmentation Policies from Asynchronous Event-based Data
Fuqiang Gu, Jiarui Dou, Mingyan Li, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1521-1532
Closed Access | Times Cited: 3
MVT: Multi-Vision Transformer for Event-Based Small Target Detection
Shilong Jing, Hengyi Lv, Yuchen Zhao, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1641-1641
Open Access | Times Cited: 3
SpikingViT: a Multi-scale Spiking Vision Transformer Model for Event-based Object Detection
Lixing Yu, Hanqi Chen, Ziming Wang, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 17, Iss. 1, pp. 130-146
Closed Access | Times Cited: 2
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
Lennard Bodden, Duc Bach Ha, Franziska Schwaiger, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 30, pp. 1-9
Closed Access | Times Cited: 2
Low-power event-based face detection with asynchronous neuromorphic hardware
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 3, pp. 1-10
Closed Access | Times Cited: 1
Spiking Neural Networks for Object Detection Based on Integrating Neuronal Variants and Self-Attention Mechanisms
Weixuan Li, Jinxiu Zhao, Li Su, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9607-9607
Open Access | Times Cited: 1
Spiking Wavelet Transformer
Yuetong Fang, Ziqing Wang, Lingfeng Zhang, et al.
Lecture notes in computer science (2024), pp. 19-37
Closed Access | Times Cited: 1
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks
Ziming Wang, Ziling Wang, Huaning Li, et al.
Lecture notes in computer science (2024), pp. 310-328
Closed Access | Times Cited: 1
Energy-efficient craters detection based on spiking neural network using digital elevation models
Keke Zha, Jiabin Yuan, Lili Fan, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123606-123606
Closed Access
End-to-End Edge Neuromorphic Object Detection System
D. A. Silva, Ayan Shymyrbay, Kamilya Smagulova, et al.
(2024), pp. 194-198
Closed Access
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT
Qiaoyi Su, Shijie Mei, Xingrun Xing, et al.
Neural Networks (2024) Vol. 180, pp. 106630-106630
Closed Access
Lung Nodule Detection Based on Spike-Driven Self-Attention YOLO
Xiaoqing Wei, Yuchao Lv, Hui Wang, et al.
Lecture notes in computer science (2024), pp. 187-196
Closed Access
Embedded event based object detection with spiking neural network
Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
RTFormer: Re-parameter TSBN Spiking Transformer
Hongzhi Wang, Xiubo Liang, Mengjian Li, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
SFOD: Spiking Fusion Object Detector
Yimeng Fan, Wei Zhang, Changsong Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 17191-17200
Closed Access
Physical-Based Event Camera Simulator
Hau-Vei Han, J Lyu, Jianing Li, et al.
Lecture notes in computer science (2024), pp. 19-35
Closed Access
NeuroMoCo: a neuromorphic momentum contrast learning method for spiking neural networks
Yuqi Ma, Huamin Wang, Hangchi Shen, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
Introduction
Ali Safa, Lars Keuninckx, Georges Gielen, et al.
(2012), pp. 1-34
Closed Access
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