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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:

Optimal Placement of Accelerometers for the Detection of Everyday Activities
Ian Cleland, Basel Kikhia, Chris Nugent, et al.
Sensors (2013) Vol. 13, Iss. 7, pp. 9183-9200
Open Access | Times Cited: 367

Showing 1-25 of 367 citing articles:

Physical Human Activity Recognition Using Wearable Sensors
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, et al.
Sensors (2015) Vol. 15, Iss. 12, pp. 31314-31338
Open Access | Times Cited: 712
SisFall: A Fall and Movement Dataset
Angela Sucerquia, José David López, J. F. Vargas‐Bonilla
Sensors (2017) Vol. 17, Iss. 1, pp. 198-198
Open Access | Times Cited: 401
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
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
UMAFall: A Multisensor Dataset for the Research on Automatic Fall Detection
E. Casilari, Jose A.Santoyo-Ramón, José Manuel Bermúdez Cano
Procedia Computer Science (2017) Vol. 110, pp. 32-39
Open Access | Times Cited: 150
Reliable recognition of lying, sitting, and standing with a hip‐worn accelerometer
Henri Vähä‐Ypyä, Pauliina Husu, Jaana Suni, et al.
Scandinavian Journal of Medicine and Science in Sports (2017) Vol. 28, Iss. 3, pp. 1092-1102
Open Access | Times Cited: 133
Analysis of Public Datasets for Wearable Fall Detection Systems
E. Casilari, Jose A.Santoyo-Ramón, José Manuel Bermúdez Cano
Sensors (2017) Vol. 17, Iss. 7, pp. 1513-1513
Open Access | Times Cited: 125
Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep
Mirja Quante, Emily R Kaplan, Michael Rueschman, et al.
Sleep Health (2015) Vol. 1, Iss. 4, pp. 275-284
Closed Access | Times Cited: 124
Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Vahid Farrahi, Maisa Niemelä, Maarit Kangas, et al.
Gait & Posture (2018) Vol. 68, pp. 285-299
Open Access | Times Cited: 118
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, et al.
Sensors (2016) Vol. 16, Iss. 6, pp. 800-800
Open Access | Times Cited: 109
Estimating Energy Expenditure Using Body-Worn Accelerometers: A Comparison of Methods, Sensors Number and Positioning
Marco Altini, Julien Penders, Ruud Vullers, et al.
IEEE Journal of Biomedical and Health Informatics (2014) Vol. 19, Iss. 1, pp. 219-226
Closed Access | Times Cited: 105
Accelerometer Load Profiles for Basketball-Specific Drills in Elite Players.
Xavi Schelling, Lorena Torres
PubMed (2016) Vol. 15, Iss. 4, pp. 585-591
Closed Access | Times Cited: 98
Validation and Comparison of Accelerometers Worn on the Hip, Thigh, and Wrists for Measuring Physical Activity and Sedentary Behavior
Alexander H.K. Montoye, James M. Pivarnik, Lanay M. Mudd, et al.
AIMS Public Health (2016) Vol. 3, Iss. 2, pp. 298-312
Open Access | Times Cited: 94
Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models
Charissa Ann Ronao, Sung-Bae Cho
International Journal of Distributed Sensor Networks (2017) Vol. 13, Iss. 1, pp. 155014771668368-155014771668368
Open Access | Times Cited: 92
Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices
Jennifer Russell, Blake D. McLean, Franco M. Impellizzeri, et al.
Sports Medicine (2020) Vol. 51, Iss. 1, pp. 81-112
Open Access | Times Cited: 92
Accelerometry Data in Health Research: Challenges and Opportunities
Marta Karas, Jiawei Bai, Marcin Stra̧czkiewicz, et al.
Statistics in Biosciences (2019) Vol. 11, Iss. 2, pp. 210-237
Open Access | Times Cited: 91
Structural health monitoring of an operational bridge: A case study
Marco Gatti
Engineering Structures (2019) Vol. 195, pp. 200-209
Open Access | Times Cited: 87
A Novel Semisupervised Deep Learning Method for Human Activity Recognition
Qingchang Zhu, Zhenghua Chen, Yeng Chai Soh
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 7, pp. 3821-3830
Closed Access | Times Cited: 84
Current clinical utilisation of wearable motion sensors for the assessment of outcome following knee arthroplasty: a scoping review
Scott R. Small, Garrett S. Bullock, Sara Khalid, et al.
BMJ Open (2019) Vol. 9, Iss. 12, pp. e033832-e033832
Open Access | Times Cited: 84
Efficient Human Activity Recognition Solving the Confusing Activities Via Deep Ensemble Learning
Ran Zhu, Zhuoling Xiao, Ying Li, et al.
IEEE Access (2019) Vol. 7, pp. 75490-75499
Open Access | Times Cited: 76
HARTH: A Human Activity Recognition Dataset for Machine Learning
Aleksej Logacjov, Kerstin Bach, Atle Kongsvold, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7853-7853
Open Access | Times Cited: 59
An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring
Roberto De Fazio, Marco Stabile, Massimo De Vittorio, et al.
Electronics (2021) Vol. 10, Iss. 17, pp. 2178-2178
Open Access | Times Cited: 58
Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry
Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, et al.
Medicine & Science in Sports & Exercise (2017) Vol. 49, Iss. 9, pp. 1965-1973
Open Access | Times Cited: 83
Physical Activity Recognition Using Posterior-Adapted Class-Based Fusion of Multiaccelerometer Data
Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 3, pp. 678-685
Open Access | Times Cited: 79
How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities
Parastoo Alinia, Chris Cain, Ramin Fallahzadeh, et al.
JMIR mhealth and uhealth (2017) Vol. 5, Iss. 8, pp. e106-e106
Open Access | Times Cited: 74
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