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:

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106060-106060
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Shams Forruque Ahmed, Md. Sakib Bin Alam, Shaila Afrin, et al.
Information Fusion (2023) Vol. 102, pp. 102060-102060
Open Access | Times Cited: 107

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Information Fusion (2023) Vol. 94, pp. 17-31
Closed Access | Times Cited: 93

Internet of medical things and blockchain-enabled patient-centric agent through SDN for remote patient monitoring in 5G network
Anichur Rahman, Md. Anwar Hussen Wadud, Md. Jahidul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 23

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 5

AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design
Walaa N. Ismail, Hessah A. Alsalamah, Mohammad Mehedi Hassan, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13636-e13636
Open Access | Times Cited: 34

Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 34

Video-Based Human Activity Recognition Using Deep Learning Approaches
Guilherme Augusto Silva Surek, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6384-6384
Open Access | Times Cited: 25

Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model
Pooja Lalwani, Ganeshan Ramasamy
Applied Soft Computing (2024) Vol. 154, pp. 111344-111344
Closed Access | Times Cited: 13

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art
M. Fazuan Abdul Karim, Shah Khalid, Aliya Aleryani, et al.
IEEE Access (2024) Vol. 12, pp. 36372-36390
Open Access | Times Cited: 10

Application of human activity/action recognition: a review
Nazanin sedaghati, Sondos Ardebili, Ali Ghaffari
Multimedia Tools and Applications (2025)
Open Access | Times Cited: 1

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
Pauline Ong, Yean Keong Tan, Kee Huong Lai, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100219-100219
Open Access | Times Cited: 20

Machine Learning for Healthcare Radars: Recent Progresses in Human Vital Sign Measurement and Activity Recognition
Shahzad Ahmed, Sung Ho Cho
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 461-495
Open Access | Times Cited: 17

Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition
Behrooz Azadi, Michael Haslgrübler, Bernhard Anzengruber-Tánase, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 681-681
Open Access | Times Cited: 7

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
R Gayathri, S. Maheswari, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Human Fall Detection Using 3D Multi-Stream Convolutional Neural Networks with Fusion
Thamer Alanazi, Ghulam Muhammad
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3060-3060
Open Access | Times Cited: 25

A Survey on Different Computer Vision Based Human Activity Recognition for Surveillance Applications
Ashwin Shenoy M, N. Thillaiarasu
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022), pp. 1372-1376
Closed Access | Times Cited: 23

A Survey on Artificial Intelligence in Posture Recognition
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 35-82
Open Access | Times Cited: 16

A Robust and Automated Vision-Based Human Fall Detection System Using 3D Multi-Stream CNNs with an Image Fusion Technique
Thamer Alanazi, Khalid Babutain, Ghulam Muhammad
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6916-6916
Open Access | Times Cited: 16

Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study
Nguyen Hung-Cuong, Thi-Hao Nguyen, Rafał Scherer, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5121-5121
Open Access | Times Cited: 15

A Review of Posture Detection Methods for Pigs Using Deep Learning
Zhe Chen, Jisheng Lu, Haiyan Wang
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6997-6997
Open Access | Times Cited: 15

Continuous dynamic gesture recognition using surface EMG signals based on blockchain-enabled internet of medical things
Gongfa Li, Dongxu Bai, Guozhang Jiang, et al.
Information Sciences (2023) Vol. 646, pp. 119409-119409
Closed Access | Times Cited: 14

Multimodal vision-based human action recognition using deep learning: a review
Fatemeh Shafizadegan, Ahmad Reza Naghsh‐Nilchi, Elham Shabaninia
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 5

SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
Duc-Anh Nguyen, Nhien‐An Le‐Khac
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 5

A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices
Sheikh Nooruddin, Md. Milon Islam, Fakhri Karray, et al.
Information Fusion (2023) Vol. 100, pp. 101953-101953
Closed Access | Times Cited: 12

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