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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:

A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions
Lei Yang, Shaobo Li, Chuanjiang Li, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 4, pp. 901-919
Closed Access | Times Cited: 20

Showing 20 citing articles:

A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model
Chuanjiang Li, Kai Luo, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23239-23254
Closed Access | Times Cited: 28
Spatio-temporal correlation-based multiple regression for anomaly detection and recovery of unmanned aerial vehicle flight data
Lei Yang, Shaobo Li, Caichao Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102440-102440
Open Access | Times Cited: 10
A review of current studies on the unmanned aerial vehicle-based moving target tracking methods
Binbin Yan, Yuxin Wei, Shuangxi Liu, et al.
Defence Technology (2025)
Open Access | Times Cited: 1
Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling
Zhixin Zhan, Xiaofan He, Dingcheng Tang, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 12, pp. 4425-4464
Closed Access | Times Cited: 21
Flight Anomaly Detection and Localization based on flight data fusion and Random Channel Masking
Jie Zhong, Heng Zhang, Qiang Miao
Applied Soft Computing (2025), pp. 113023-113023
Closed Access
Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network
Hongli Deng, Yu Lu, Tao Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107961-107961
Closed Access | Times Cited: 4
Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality
Lei Yang, Shaobo Li, Caichao Zhu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103255-103255
Closed Access
An Automated and Integrated Sensing System for Road Monitoring using UAV Images and an Optimized R-CNN
Vincenzo Barrile, Francesco Scopelliti, E. Genovese, et al.
WSEAS TRANSACTIONS ON SIGNAL PROCESSING (2025) Vol. 21, pp. 31-40
Open Access
Data-driven multivariate regression-based anomaly detection and recovery of unmanned aerial vehicle flight data
Lei Yang, Shaobo Li, Chuanjiang Li, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 2, pp. 176-193
Open Access | Times Cited: 3
Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators
Yan Wang, Shaobo Li, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24905-24920
Closed Access | Times Cited: 2
Robust Spatio-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle with Flight Data
Guoqian Jiang, Pengcheng Nan, Jingchao Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial Systems
Md Nafee Al Islam, Jane Cleland‐Huang, Michael Vierhauser
(2024)
Open Access | Times Cited: 1
UAV Anomaly Detection Method Based on Convolutional Autoencoder and Support Vector Data Description with 0/1 Soft-Margin Loss
Huakun Chen, Yongxi Lyu, Jingping Shi, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 534-534
Open Access | Times Cited: 1
Menu: Memorizing Normality for Uav Anomaly Detection with a Few Sensor Values
Jeong Do Yoo, Gang Min Kim, Min Geun Song, et al.
(2024)
Closed Access
Comparative Study on Flight Training of Chinese Airline Pilots at Home and Abroad
Shouxi Zhu, Jian Chen
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Satellite anomaly detection based on reconstruction discrepancy theory utilizing a new dual-branch reconstruction model
Haotian Zhao, Shi Qiu, Ming Liu, et al.
Science China Technological Sciences (2024)
Closed Access
MeNU: Memorizing normality for UAV anomaly detection with a few sensor values
Jeong Do Yoo, Gang Min Kim, Min Geun Song, et al.
Computers & Security (2024) Vol. 150, pp. 104248-104248
Closed Access
UAV Anomaly Detection Using Fleet Data Based on DBSCAN-MSET Method
Chang Geng, Shenghua Xiang, Na Wang, et al.
(2023) Vol. 184, pp. 395-400
Closed Access
Unsupervised Anomaly Detection of Unmanned Aerial Vehicles based on Spatial-Temporal Model with Flight Data
Pengcheng Nan, Guoqian Jiang, Jingchao Zhang, et al.
(2023)
Closed Access
UAV Flight Data Anomaly Detection Based on Parameter Selection and Multiple Regression
Lei Yang, Yizong Zhang, Shaobo Li, et al.
(2023), pp. 1-6
Closed Access
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