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:

Analysis of human behavior recognition algorithms based on acceleration data
Barbara Bruno, Fulvio Mastrogiovanni, Antonio Sgorbissa, et al.
(2013), pp. 1602-1607
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

A Survey on Activity Detection and Classification Using Wearable Sensors
Maria Cornacchia, Koray Özcan, Yu Zheng, et al.
IEEE Sensors Journal (2016) Vol. 17, Iss. 2, pp. 386-403
Closed Access | Times Cited: 377

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Henry Friday Nweke, Teh Ying Wah, Ghulam Mujtaba, et al.
Information Fusion (2018) Vol. 46, pp. 147-170
Closed Access | Times Cited: 353

Can Deep Learning Revolutionize Mobile Sensing?
Nicholas D. Lane, Petko Georgiev
(2015), pp. 117-122
Open Access | Times Cited: 271

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
Majid Janidarmian, Atena Roshan Fekr, Katarzyna Radecka, et al.
Sensors (2017) Vol. 17, Iss. 3, pp. 529-529
Open Access | Times Cited: 193

Sensor-Based Datasets for Human Activity Recognition – A Systematic Review of Literature
Emiro De-La-Hoz-Franco, Paola Ariza-Colpas, Javier Medina-Quero, et al.
IEEE Access (2018) Vol. 6, pp. 59192-59210
Open Access | Times Cited: 174

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: 159

Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm
Majid Ali Khan Quaid, Ahmad Jalal
Multimedia Tools and Applications (2019) Vol. 79, Iss. 9-10, pp. 6061-6083
Closed Access | Times Cited: 148

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Hang Yuan, Shing Chan, Andrew P. Creagh, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 38

Activity Recognition for Cognitive Assistance Using Body Sensors Data and Deep Convolutional Neural Network
Md. Zia Uddin, Mohammad Mehedi Hassan
IEEE Sensors Journal (2018) Vol. 19, Iss. 19, pp. 8413-8419
Closed Access | Times Cited: 101

A Wrist Worn Acceleration Based Human Motion Analysis and Classification for Ambient Smart Home System
Ahmad Jalal, Majid Ali Khan Quaid, Kibum Kim
Journal of Electrical Engineering and Technology (2019) Vol. 14, Iss. 4, pp. 1733-1739
Open Access | Times Cited: 100

A Triaxial Acceleration-based Human Motion Detection for Ambient Smart Home System
Ahmad Jalal, Majid Ali Khan Quaid, M. A. Sidduqi
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (2019), pp. 353-358
Closed Access | Times Cited: 83

A bioinspired in-materia analog photoelectronic reservoir computing for human action processing
Hangyuan Cui, Xiao Yu, Yang Yang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1

Survey on Human Activity Recognition based on Acceleration Data
Salwa O. Slim, Ayman Atia, Marwa M.A., et al.
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 3
Open Access | Times Cited: 71

Stress-Lysis: A DNN-Integrated Edge Device for Stress Level Detection in the IoMT
Laavanya Rachakonda, Saraju P. Mohanty, Elias Kougianos, et al.
IEEE Transactions on Consumer Electronics (2019) Vol. 65, Iss. 4, pp. 474-483
Open Access | Times Cited: 71

Flexible human–robot cooperation models for assisted shop-floor tasks
Kourosh Darvish, Francesco Wanderlingh, Barbara Bruno, et al.
Mechatronics (2018) Vol. 51, pp. 97-114
Open Access | Times Cited: 62

DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights
Brian Kenji Iwana, Volkmar Frinken, Seiichi Uchida
Knowledge-Based Systems (2019) Vol. 188, pp. 104971-104971
Closed Access | Times Cited: 61

A Hierarchical Architecture for Human–Robot Cooperation Processes
Kourosh Darvish, Enrico Simetti, Fulvio Mastrogiovanni, et al.
IEEE Transactions on Robotics (2020) Vol. 37, Iss. 2, pp. 567-586
Open Access | Times Cited: 54

CHARM-Deep: Continuous Human Activity Recognition Model Based on Deep Neural Network Using IMU Sensors of Smartwatch
Sara Ashry, Tetsuji Ogawa, Walid Gomaa
IEEE Sensors Journal (2020) Vol. 20, Iss. 15, pp. 8757-8770
Closed Access | Times Cited: 52

Pose Estimation and Detection for Event Recognition using Sense-Aware Features and Adaboost Classifier
Israr Akhter, Ahmad Jalal, Kibum Kim
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) (2021), pp. 500-505
Closed Access | Times Cited: 44

AI-Driven Stroke Rehabilitation Systems and Assessment: A Systematic Review
Sejuti Rahman, Sujan Sarker, A. K. M. Nadimul Haque, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 192-207
Open Access | Times Cited: 31

A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers
Marcin Strączkiewicz, Emily J. Huang, Jukka‐Pekka Onnela
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 21

Fast classification of univariate and multivariate time series through shapelet discovery
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
Knowledge and Information Systems (2015) Vol. 49, Iss. 2, pp. 429-454
Closed Access | Times Cited: 57

A perspective on human activity recognition from inertial motion data
Walid Gomaa, Mohamed A. Khamis
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20463-20568
Open Access | Times Cited: 15

A public domain dataset for ADL recognition using wrist-placed accelerometers
Barbara Bruno, Fulvio Mastrogiovanni, Antonio Sgorbissa
(2014), pp. 738-743
Closed Access | Times Cited: 45

Recognition of Human Behavior for Assisted Living Using Dictionary Learning Approach
Pubali De, Amitava Chatterjee, Anjan Rakshit
IEEE Sensors Journal (2017) Vol. 18, Iss. 6, pp. 2434-2441
Closed Access | Times Cited: 45

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