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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:

Recurrent Neural Network for Inertial Gait User Recognition in Smartphones
Pablo Fernández-López, Judith Liu‐Jimenez, Kiyoshi Kiyokawa, et al.
Sensors (2019) Vol. 19, Iss. 18, pp. 4054-4054
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
Joseph Ackerson, Rushit Dave, Naeem Seliya
Information (2021) Vol. 12, Iss. 7, pp. 272-272
Open Access | Times Cited: 64
Multi-Model Long Short-Term Memory Network for Gait Recognition Using Window-Based Data Segment
L. Tran, Thang Hoang, Thuc D. Nguyen, et al.
IEEE Access (2021) Vol. 9, pp. 23826-23839
Open Access | Times Cited: 56
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, et al.
Neurocomputing (2022) Vol. 505, pp. 315-338
Closed Access | Times Cited: 29
Real-time gait biometrics for surveillance applications: A review
Anubha Parashar, Apoorva Parashar, Andrea F. Abate, et al.
Image and Vision Computing (2023) Vol. 138, pp. 104784-104784
Closed Access | Times Cited: 20
GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning
Paula Delgado-Santos, Rubén Tolosana, Richard Guest, et al.
Pattern Recognition Letters (2022) Vol. 161, pp. 30-37
Open Access | Times Cited: 23
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
Anubha Parashar, Apoorva Parashar, Mohammad Shabaz, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107712-107712
Closed Access | Times Cited: 13
Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network
L. Tran, Deokjai Choi
IEEE Access (2020) Vol. 8, pp. 12364-12378
Open Access | Times Cited: 35
Vein Biometric Recognition on a Smartphone
Raul Garcia-Martin, Raúl Sánchez-Reillo
IEEE Access (2020) Vol. 8, pp. 104801-104813
Open Access | Times Cited: 35
Prediction of gait trajectories based on the Long Short Term Memory neural networks
Abdelrahman Zaroug, Alessandro Garofolini, Daniel Lai, et al.
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0255597-e0255597
Open Access | Times Cited: 28
M-GaitFormer: Mobile biometric gait verification using Transformers
Paula Delgado-Santos, Rubén Tolosana, Richard Guest, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106682-106682
Open Access | Times Cited: 12
Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition
Anubha Parashar, Apoorva Parashar, Imad Rida
Digital Signal Processing (2024) Vol. 147, pp. 104393-104393
Closed Access | Times Cited: 3
Gait-based identification using wearable multimodal sensing and attention neural networks
Sijia Yi, Zhanyong Mei, Kamen Ivanov, et al.
Sensors and Actuators A Physical (2024) Vol. 374, pp. 115478-115478
Closed Access | Times Cited: 3
Gait identification and authentication using LSTM based on 3-axis accelerations of smartphone
Yuji Watanabe, Masaki Kimura
Procedia Computer Science (2020) Vol. 176, pp. 3873-3880
Open Access | Times Cited: 24
Survey on encode biometric data for transmission in wireless communication networks
Mohammed H. Ali, Amer M. Ibrahim, Hasan Wahbah, et al.
Periodicals of Engineering and Natural Sciences (PEN) (2021) Vol. 9, Iss. 4, pp. 1038-1038
Open Access | Times Cited: 18
On the Security of Biometrics and Fuzzy Commitment Cryptosystems: A Study on Gait Authentication
Tim Van hamme, Enrique Argones Rúa, Davy Preuveneers, et al.
IEEE Transactions on Information Forensics and Security (2021) Vol. 16, pp. 5211-5224
Open Access | Times Cited: 16
A Review of Machine Learning Network in Human Motion Biomechanics
Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, et al.
Journal of Grid Computing (2021) Vol. 20, Iss. 1
Closed Access | Times Cited: 14
User Authentication by Gait Data from Smartphone Sensors Using Hybrid Deep Learning Network
Qian Cao, Fei Xu, Huiyong Li
Mathematics (2022) Vol. 10, Iss. 13, pp. 2283-2283
Open Access | Times Cited: 9
Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns
Angel Peinado-Contreras, Mario Muñoz-Organero
Sensors (2020) Vol. 20, Iss. 23, pp. 6900-6900
Open Access | Times Cited: 14
AI for Biometric Authentication Systems
Tim Van hamme, Giuseppe Garofalo, Sander Joos, et al.
Lecture notes in computer science (2022), pp. 156-180
Closed Access | Times Cited: 7
Action Invariant IMU-Gait for Continuous Authentication
Sanka Rasnayaka, Terence Sim
(2022), pp. 1-10
Closed Access | Times Cited: 5
Stack LSTM-Based User Identification Using Smart Shoes with Accelerometer Data
Do-Yun Kim, Seung-Hyeon Lee, Gu‐Min Jeong
Sensors (2021) Vol. 21, Iss. 23, pp. 8129-8129
Open Access | Times Cited: 5
Combating False Data Injection Attacks on Human-Centric Sensing Applications
Jingyu Xin, Vir V. Phoha, Asif Salekin
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 2, pp. 1-22
Open Access | Times Cited: 3
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
Joseph M. Ackerson, Rushit Dave, Jim Seliya
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Smartphone Gait Authentication Based on Activity Recognition Task in Unconstrained Environment
Di Cheng, Rui Mao, Qing Hao, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2024), pp. 1-7
Closed Access
Digital Avatars: An Application to eHealth
Rafael García-Luque, Ernesto Pimentel, Antonio Bandera
Communications in computer and information science (2024), pp. 145-159
Closed Access
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