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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:

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning
Seungeun Chung, Jiyoun Lim, Kyoung Ju Noh, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1716-1716
Open Access | Times Cited: 158

Showing 26-50 of 158 citing articles:

Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks
Edwin Valarezo Añazco, Seung Ju Han, Kang‐Il Kim, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1404-1404
Open Access | Times Cited: 34
Improving Human Activity Recognition Performance by Data Fusion and Feature Engineering
Jingcheng Chen, Yining Sun, Shaoming Sun
Sensors (2021) Vol. 21, Iss. 3, pp. 692-692
Open Access | Times Cited: 33
Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
Uriel Martínez-Hernández, Benjamin Metcalfe, Tareq Assaf, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6751-6751
Open Access | Times Cited: 33
Human activity recognition of children with wearable devices using LightGBM machine learning
Gábor Csizmadia, Krisztina Liszkai-Peres, Bence Ferdinandy, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Deep learning and transfer learning for device-free human activity recognition: A survey
Jianfei Yang, Yuecong Xu, Haozhi Cao, et al.
Journal of Automation and Intelligence (2022) Vol. 1, Iss. 1, pp. 100007-100007
Open Access | Times Cited: 23
Attention based hybrid deep learning model for wearable based stress recognition
Ritu Tanwar, Orchid Chetia Phukan, Ghanapriya Singh, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107391-107391
Closed Access | Times Cited: 13
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors
Vladimiro Suglia, Lucia Palazzo, Vitoantonio Bevilacqua, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2199-2199
Open Access | Times Cited: 4
Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach
YongKyung Oh, Sungil Kim
Information Fusion (2024) Vol. 110, pp. 102464-102464
Closed Access | Times Cited: 4
Epileptic Seizure Detection Based on Attitude Angle Signal of Wearable Device
J. Wang, Dinghan Hu, Xiaoping Lai, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-10
Closed Access
Estimation of three-dimensional ground reaction forces using low-cost smart insoles
D. H. Zhang, Ying Liu, Timothy Exell, et al.
(2025) Vol. 1, Iss. 1, pp. 40-50
Open Access
TAMS: A CNN-based time attention network for time series sensor data with feature points of bicycle accident
So-Hyeon Jo, Joo Woo, Jae‐Hoon Jeong
Expert Systems with Applications (2025) Vol. 272, pp. 126739-126739
Closed Access
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya
Sensors (2020) Vol. 20, Iss. 3, pp. 825-825
Open Access | Times Cited: 35
An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly
Md. Al-Amin, Ruwen Qin, Md Moniruzzaman, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 633-649
Closed Access | Times Cited: 27
Multimodal sensor fusion models for real-time exercise repetition counting with IMU sensors and respiration data
Sujee Lee, Yooseok Lim, Kyuhee Lim
Information Fusion (2023) Vol. 104, pp. 102153-102153
Closed Access | Times Cited: 10
Label-preserving data augmentation for mobile sensor data
Mooseop Kim, Chi Yoon Jeong
Multidimensional Systems and Signal Processing (2020) Vol. 32, Iss. 1, pp. 115-129
Closed Access | Times Cited: 28
On the Challenges and Potential of Using Barometric Sensors to Track Human Activity
Ajaykumar Manivannan, Wei Chien Benny Chin, Alain Barrat, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6786-6786
Open Access | Times Cited: 28
Human Action Recognition Using CNN-SVM Model
Vijay Anant Athavale, Suresh Chand Gupta, Deepak Kumar, et al.
Advances in science and technology (2021)
Closed Access | Times Cited: 24
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals
Mahsa Sadat Afzali Arani, Diego Elias Costa, Emad Shihab
Sensors (2021) Vol. 21, Iss. 21, pp. 6997-6997
Open Access | Times Cited: 23
Multimodal music emotion recognition in Indonesian songs based on CNN-LSTM, XLNet transformers
Andrew Steven Sams, Amalia Zahra
Bulletin of Electrical Engineering and Informatics (2022) Vol. 12, Iss. 1, pp. 355-364
Open Access | Times Cited: 18
Human Activity Recognition Based on Two-Channel Residual–GRU–ECA Module with Two Types of Sensors
Xun Wang, Jie Shang
Electronics (2023) Vol. 12, Iss. 7, pp. 1622-1622
Open Access | Times Cited: 9
Multi-Sensor Data Fusion Solutions for Blind and Visually Impaired: Research and Commercial Navigation Applications for Indoor and Outdoor Spaces
Paraskevi Theodorou, Kleomenis Tsiligkos, Απόστολος Μηλιώνης
Sensors (2023) Vol. 23, Iss. 12, pp. 5411-5411
Open Access | Times Cited: 9
Bringing it all together: Wearable data fusion
Yunus Çelik, Alan Godfrey
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 9
A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton
Jing Tang, Lun Zhao, Minghu Wu, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1881-e1881
Open Access | Times Cited: 3
Human Activity Recognition Based on Deep Learning Regardless of Sensor Orientation
Zhenyu He, Yulin Sun, Zhen Zhang
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3637-3637
Open Access | Times Cited: 3
What Lies Beneath One’s Feet? Terrain Classification Using Inertial Data of Human Walk
Muhammad Zeeshan Ul Hasnain Hashmi, Qaiser Riaz, Mehdi Hussain, et al.
Applied Sciences (2019) Vol. 9, Iss. 15, pp. 3099-3099
Open Access | Times Cited: 27

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