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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:

Human Activity Recognition Using Accelerometer and Photoplethysmographic Signals
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
Smart innovation, systems and technologies (2017), pp. 53-62
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A survey on wearable sensor modality centred human activity recognition in health care
Yan Wang, Shuang Cang, Hongnian Yu
Expert Systems with Applications (2019) Vol. 137, pp. 167-190
Open Access | Times Cited: 311
A Fast and Robust Deep Convolutional Neural Networks for Complex Human Activity Recognition Using Smartphone
Wen Qi, Hang Su, Chenguang Yang, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3731-3731
Open Access | Times Cited: 103
BeatClass: A Sustainable ECG Classification System in IoT-Based eHealth
Le Sun, Yilin Wang, Zhiguo Qu, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7178-7195
Closed Access | Times Cited: 69
CNN-Based Deep Learning Network for Human Activity Recognition During Physical Exercise from Accelerometer and Photoplethysmographic Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Lecture notes on data engineering and communications technologies (2022), pp. 531-542
Closed Access | Times Cited: 43
Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
BioMedical Engineering OnLine (2018) Vol. 17, Iss. S1
Open Access | Times Cited: 71
Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
Electronics (2021) Vol. 10, Iss. 14, pp. 1715-1715
Open Access | Times Cited: 49
ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors
Mehdi Boukhechba, Lihua Cai, Congyu Wu, et al.
Smart Health (2019) Vol. 14, pp. 100082-100082
Closed Access | Times Cited: 50
Towards Low-Cost Sign Language Gesture Recognition Leveraging Wearables
Tianming Zhao, Jian Liu, Yan Wang, et al.
IEEE Transactions on Mobile Computing (2019) Vol. 20, Iss. 4, pp. 1685-1701
Open Access | Times Cited: 48
Optimized Energy Efficient Secure Routing Protocol for Wireless Body Area Network
Ripty Singla, Navneet Kaur, Deepika Koundal, et al.
IEEE Access (2021) Vol. 9, pp. 116745-116759
Open Access | Times Cited: 37
Dataset from PPG wireless sensor for activity monitoring
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
Data in Brief (2019) Vol. 29, pp. 105044-105044
Open Access | Times Cited: 36
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
A novel deep learning architecture and MINIROCKET feature extraction method for human activity recognition using ECG, PPG and inertial sensor dataset
Rohit Kumar Bondugula, Siba K. Udgata, Kaushik Bhargav Sivangi
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 14400-14425
Closed Access | Times Cited: 16
Certain Investigation of Optimization Methods of Sensor Nodes in Biomedical Recording Systems
N. Ashokkumar, C. Kanmani Pappa, Siva Kumar A, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023), pp. 1175-1181
Closed Access | Times Cited: 6
A Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data
Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang, et al.
(2018), pp. 1-6
Open Access | Times Cited: 17
Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
Electronics (2020) Vol. 10, Iss. 1, pp. 34-34
Open Access | Times Cited: 12
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11
CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, et al.
(2020), pp. 1-6
Open Access | Times Cited: 11
A New Method for Activity Monitoring Using Photoplethysmography Signals Recorded by Wireless Sensor
Tuğba Aydemir, Mehmet Şahin, Önder Aydemir
Journal of Medical and Biological Engineering (2020) Vol. 40, Iss. 6, pp. 934-942
Closed Access | Times Cited: 10
A Real-Time IoT System and ML algorithms: A Comparative Study
Gael S. Mubibya, Sinda Besrour, Jalal Almhana
ICC 2022 - IEEE International Conference on Communications (2022), pp. 5262-5267
Closed Access | Times Cited: 7
Machine Learning Modeling of Human Activity Using PPG Signals
Anastasios Panagiotis Psathas, Antoniοs Papaleonidas, Lazaros Iliadis
Lecture notes in computer science (2020), pp. 543-557
Closed Access | Times Cited: 9
Recognition of Daily Human Activities Using Accelerometer and sEMG Signals
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
Smart innovation, systems and technologies (2019), pp. 37-47
Closed Access | Times Cited: 9
Dynamic uneven clustering protocol for efficient energy management in EH-WSNs
A Puviarasu., M. Balaji, R Thirukkumaran, et al.
Materials Today Proceedings (2021) Vol. 57, pp. 2092-2095
Closed Access | Times Cited: 7
A Machine Learning based Human Activity Recognition during Physical Exercise using Wavelet Packet Transform of PPG and Inertial Sensors data
Naqib Sad Pathan, Md. Toky Foysal Talukdar, Muhammad Quamruzzaman, et al.
2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2019)
Closed Access | Times Cited: 7
Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition
Dae Yon Hwang, Pai Chet Ng, Yuanhao Yu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
Closed Access | Times Cited: 3
Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study
NAJEH Houda, Christophe Lohr, Benoît Leduc
(2023)
Closed Access
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