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:

Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection
M Amsaprabhaa, Nancy Jane Y, Khanna Nehemiah H
Expert Systems with Applications (2022) Vol. 212, pp. 118681-118681
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

FL-FD: Federated learning-based fall detection with multimodal data fusion
Pian Qi, Diletta Chiaro, Francesco Piccialli
Information Fusion (2023) Vol. 99, pp. 101890-101890
Open Access | Times Cited: 45

Robust fall detection in video surveillance based on weakly supervised learning
Lian Wu, Chao Huang, Shuping Zhao, et al.
Neural Networks (2023) Vol. 163, pp. 286-297
Closed Access | Times Cited: 24

A Real-time Skeleton-based Fall Detection Algorithm based on Temporal Convolutional Networks and Transformer Encoder
Xiaoqun Yu, Chenfeng Wang, Wenyu Wu, et al.
Pervasive and Mobile Computing (2025), pp. 102016-102016
Closed Access | Times Cited: 1

Multimodal information fusion detection of fall-related disability based on video images and sensing signals
Yuke Qiu, Yuchen He, Yangwei Ying, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access | Times Cited: 1

A self-powered wearable sensor for infant fall detection based on triboelectric nanogenerator
Luoke Hu, Hui Meng, Zhonggui Xu, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access | Times Cited: 1

Real-time video surveillance based human fall detection system using hybrid haar cascade classifier
Navdeep Kaur, Sujata Rani, Sawinder Kaur
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71599-71617
Closed Access | Times Cited: 6

AI-powered trustable and explainable fall detection system using transfer learning
Aryan Nikul Patel, Ramalingam Murugan, Praveen Kumar Reddy Maddikunta, et al.
Image and Vision Computing (2024) Vol. 149, pp. 105164-105164
Closed Access | Times Cited: 5

A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions
Muhammad Asif Razzaq, Jamil Hussain, Jaehun Bang, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4373-4373
Open Access | Times Cited: 12

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

LFD-YOLO: a lightweight fall detection network with enhanced feature extraction and fusion
Heqing Wang, Sheng Xu, Yuandian Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Lattice-based sensor data acquisition strategy to solve sensor position drift in human gait phase recognition system with a single inertia measurement unit
Dianbiao Dong, Nannan Zhu, Jiehong Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110286-110286
Closed Access

Human Fall Detection Using Transfer Learning-Based 3D CNN
Ekram Alam, Abu Sufian, Paramartha Dutta, et al.
Communications in computer and information science (2025), pp. 102-113
Closed Access

MAF-Net: A multimodal data fusion approach for human action recognition
Dongwei Xie, Xiaodan Zhang, Xiang Gao, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319656-e0319656
Open Access

Hybrid optimized multimodal spatiotemporal feature fusion for vision-based sports activity recognition
M Amsaprabhaa
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 1, pp. 1481-1501
Closed Access | Times Cited: 3

SKIP: Accurate Fall Detection Based on Skeleton Keypoint Association and Critical Feature Perception
Chenjie Du, Ran Jin, Hao Tang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14812-14824
Closed Access | Times Cited: 3

Safeguarding media integrity: A hybrid optimized deep feature fusion based deepfake detection in videos
K. Jayashre, M Amsaprabhaa
Computers & Security (2024) Vol. 142, pp. 103860-103860
Closed Access | Times Cited: 3

In-Home Older Adults’ Activity Pattern Monitoring Using Depth Sensors: A Review
Md Sarfaraz Momin, Abu Sufian, Debaditya Barman, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9067-9067
Open Access | Times Cited: 16

Fall Direction Detection in Motion State Based on the FMCW Radar
Lei Ma, Xingguang Li, Guoxiang Liu, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5031-5031
Open Access | Times Cited: 8

Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches
Van-Ha Hoang, Jong Weon Lee, Md. Jalil Piran, et al.
IEEE Access (2023) Vol. 11, pp. 92322-92352
Open Access | Times Cited: 7

Multimodal fall detection for solitary individuals based on audio-video decision fusion processing
S Jiao, Guoqi Li, Guiyang Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29596-e29596
Open Access | Times Cited: 2

E-MFNN: an emotion-multimodal fusion neural network framework for emotion recognition
Zhuen Guo, Mingqing Yang, Lin Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1977-e1977
Open Access | Times Cited: 2

A novel semi-supervised model for pre-impact fall detection with limited fall data
Xiaoqun Yu, Jiansong Wan, Guoyuan An, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 108469-108469
Closed Access | Times Cited: 2

A Cost-Effective Fall-Detection Framework for the Elderly Using Sensor-Based Technologies
Ch Anwar Ul Hassan, Faten Khalid Karim, Assad Abbas, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 3982-3982
Open Access | Times Cited: 6

Secure Your Steps: A Class-Based Ensemble Framework for Real-Time Fall Detection Using Deep Neural Networks
Md. Mohsin Kabir, Jungpil Shin, M. F. Mridha
IEEE Access (2023) Vol. 11, pp. 64097-64113
Open Access | Times Cited: 6

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