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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:

Skeleton-Based Fall Detection with Multiple Inertial Sensors Using Spatial-Temporal Graph Convolutional Networks
Jianjun Yan, Xueqiang Wang, Jiangtao Shi, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2153-2153
Open Access | Times Cited: 11

Showing 11 citing articles:

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques
Sadik Kamel Gharghan, Huda Ali Hashim
Measurement (2024) Vol. 226, pp. 114186-114186
Closed Access | Times Cited: 15
Transformer-based fall detection in videos
Adrián Núñez-Marcos, Ignacio Arganda‐Carreras
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107937-107937
Open Access | Times Cited: 11
Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration
Jie Tang, Bin He, Junkai Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1233-1245
Open Access | Times Cited: 4
Enhancing Human Activity Recognition through Integrated Multimodal Analysis: A Focus on RGB Imaging, Skeletal Tracking, and Pose Estimation
Sajid Ur Rehman, Aman Ullah Yasin, Ehtisham Ul Haq, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4646-4646
Open Access | Times Cited: 4
Deep Wavelet Convolutional Neural Networks for Multimodal Human Activity Recognition Using Wearable Inertial Sensors
Thi Hong Vuong, Tung Doan, Atsuhiro Takasu
Sensors (2023) Vol. 23, Iss. 24, pp. 9721-9721
Open Access | Times Cited: 6
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos - a Survey
Leonard Matheus Wastupranata, Seong G. Kong
(2024)
Closed Access | Times Cited: 1
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey
Leonard Matheus Wastupranata, Seong G. Kong, Lipo Wang
Electronics (2024) Vol. 13, Iss. 13, pp. 2579-2579
Open Access | Times Cited: 1
An AI-Based Approach for Accurate Fall Detection and Prediction Using Wearable Sensors
Muhammad Azeem Sarwar, Brandon Chea, Max Widjaja, et al.
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) (2024) Vol. 8, pp. 118-121
Closed Access | Times Cited: 1
Reduction of Vision-Based Models for Fall Detection
Asier Garmendia-Orbegozo, Miguel Antón, J. David Núñez-González
Sensors (2024) Vol. 24, Iss. 22, pp. 7256-7256
Open Access | Times Cited: 1
Unsupervised Learning Methods for Human Abnormal Behavior Detection in Surveillance Systems; A Survey
Leonard Matheus Wastupranata
(2024)
Open Access
State-of-the-art in human activity recognition based on inertial measurement unit sensors: survey and applications
Majid Sepahvand, Maytham N. Meqdad, Fardin Abdali-Mohammadi
International Journal of Computers and Applications (2024), pp. 1-16
Closed Access
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