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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:

Temporal sparse adversarial attack on sequence-based gait recognition
Ziwen He, Wei Wang, Jing Dong, et al.
Pattern Recognition (2022) Vol. 133, pp. 109028-109028
Open Access | Times Cited: 16

Showing 16 citing articles:

HGRBOL2: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine
Muhammad Attique Khan, Habiba Arshad, Wazir Zada Khan, et al.
Future Generation Computer Systems (2023) Vol. 143, pp. 337-348
Closed Access | Times Cited: 34
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review
Ankit Yadav, Dinesh Kumar Vishwakarma
Expert Systems with Applications (2024) Vol. 249, pp. 123756-123756
Open Access | Times Cited: 6
Data filtering for efficient adversarial training
Erh–Chung Chen, Che–Rung Lee
Pattern Recognition (2024) Vol. 151, pp. 110394-110394
Closed Access | Times Cited: 3
Frequency constraint-based adversarial attack on deep neural networks for medical image classification
Fang Chen, Jian Wang, Han Liu, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107248-107248
Closed Access | Times Cited: 7
GaitSTAR: Spatial–Temporal Attention-Based Feature-Reweighting Architecture for Human Gait Recognition
Muhammad Bilal, Jianbiao He, Husnain Mushtaq, et al.
Mathematics (2024) Vol. 12, Iss. 16, pp. 2458-2458
Open Access | Times Cited: 1
Boosting Robustness of Silhouette-Based Gait Recognition Against Adversarial Attacks
Bingbing Ji, Xin Chen, Wenhao Yang, et al.
Lecture notes in computer science (2024), pp. 72-84
Closed Access | Times Cited: 1
Edge-Oriented Adversarial Attack for Deep Gait Recognition
Saihui Hou, Zengbin Wang, Man Zhang, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 1
RSANet: Relative-sequence quality assessment network for gait recognition in the wild
Guozhen Peng, Yunhong Wang, Shaoxiong Zhang, et al.
Pattern Recognition (2024), pp. 111219-111219
Closed Access | Times Cited: 1
Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer
Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 17, pp. 3375-3390
Open Access | Times Cited: 5
A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition
Shinan Zou, Jianbo Xiong, Chao Fan, et al.
(2023), pp. 1-10
Open Access | Times Cited: 2
Reinforcing Spatiotemporal Correlation: Learning Comprehensive Feature Representations for Gait Recognition
Jianyu Chen, zhongyuan wang, Kangli Zeng, et al.
(2024)
Closed Access
Enhancing Security in Multimodal Biometric Fusion: Analyzing Adversarial Attacks
Shaima M. Alghamdi, Salma Kammoun Jarraya, Faris Kateb
IEEE Access (2024) Vol. 12, pp. 106133-106145
Open Access
Assessing the Robustness of Deep Learning-Based Gait Recognition Systems Against Adversarial Attacks
El Mehdi Saoudi, Said Jai Andaloussi, Jaafar Jaafari
(2024), pp. 1-8
Closed Access
Stacked-gait: A human gait recognition scheme based on stacked autoencoders
Asif Mehmood, Javeria Amin, Muhammad Sharif, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0310887-e0310887
Open Access
A survey on gait recognition against occlusion: taxonomy, dataset and methodology
Tianhao Li, Weizhi Ma, Yujia Zheng, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2602-e2602
Open Access
GaitReload: A Reloading Framework for Defending Against On-Manifold Adversarial Gait Sequences
Peilun Du, Xiaolong Zheng, Mengshi Qi, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 1380-1392
Closed Access
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