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:

AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
Francisco Luna-Perejón, Luis Muñoz-Saavedra, Javier Civit-Masot, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1889-1889
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Sensors for daily life: A review
Mohd Javaid, Abid Haleem, Shanay Rab, et al.
Sensors International (2021) Vol. 2, pp. 100121-100121
Open Access | Times Cited: 265

Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
Javier Civit-Masot, Alejandro Bañuls-Beaterio, Manuel Domínguez-Morales, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107108-107108
Open Access | Times Cited: 46

Worker’s physical fatigue classification using neural networks
Elena Escobar-Linero, Manuel Domínguez-Morales, José Luis Sevillano
Expert Systems with Applications (2022) Vol. 198, pp. 116784-116784
Open Access | Times Cited: 34

Remote Health Monitoring Systems for Elderly People: A Survey
Salman Ahmed, Saad Irfan, N. Udhaya Kiran, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7095-7095
Open Access | Times Cited: 16

Radar Recorded Child Vital Sign Public Dataset and Deep Learning-Based Age Group Classification Framework for Vehicular Application
Sungwon Yoo, Shahzad Ahmed, Sun Kang, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2412-2412
Open Access | Times Cited: 34

A study of the influence of the sensor sampling frequency on the performance of wearable fall detectors
Jose A.Santoyo-Ramón, E. Casilari, José Manuel Bermúdez Cano
Measurement (2022) Vol. 193, pp. 110945-110945
Open Access | Times Cited: 25

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

Sensors and algorithms for locomotion intention detection of lower limb exoskeletons
Duojin Wang, Xiaoping Gu, Hongliu Yu
Medical Engineering & Physics (2023) Vol. 113, pp. 103960-103960
Closed Access | Times Cited: 11

A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Ríos-Navarro, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5236-5236
Open Access | Times Cited: 25

On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
Elena Escobar-Linero, Francisco Luna-Perejón, Luis Muñoz-Saavedra, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105170-105170
Open Access | Times Cited: 13

Designing and evaluating a wearable device for affective state level classification using machine learning techniques
Luis Muñoz-Saavedra, Elena Escobar-Linero, Lourdes Miró-Amarante, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119577-119577
Open Access | Times Cited: 6

Monkeypox Diagnostic-Aid System with Skin Images Using Convolutional Neural Networks
Luis Muñoz-Saavedra, Elena Escobar-Linero, Javier Civit-Masot, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 10

Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2
María del Carmen Miranda-Duro, Laura Nieto-Riveiro, Patricia Concheiro-Moscoso, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3341-3341
Open Access | Times Cited: 13

Bedtime Monitoring for Fall Detection and Prevention in Older Adults
Jesús Fernández-Bermejo Ruiz, Javier Dorado Chaparro, María J. Santofimia, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 12, pp. 7139-7139
Open Access | Times Cited: 9

Edge Computing Transformers for Fall Detection in Older Adults
Jesús Fernández-Bermejo Ruiz, Jesús Martínez del Rincón, Javier Dorado Chaparro, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Closed Access | Times Cited: 1

Smart Wearables with Sensor Fusion for Fall Detection in Firefighting
Xiaoqing Chai, Renjie Wu, Matthew Pike, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6770-6770
Open Access | Times Cited: 10

Nyon-Data, a Fall Detection Dataset from a Hinged Board Apparatus
Rogério Dionísio, Ana Rafaela Rosa, Cassandra Sofia dos Santos Jesus
Lecture notes in networks and systems (2024), pp. 391-401
Closed Access

Detection of Gait-Related Activities from Accelerometer Signals Obtained from the Ankle
Ricardo Andrés Martín Romero, Javier Civit-Masot, Francisco Luna-Perejón
Springer Proceedings in Materials (2024), pp. 551-560
Closed Access

A Novel Lightweight Attention Network for Fall Detection in Internet of Medical Things
Dapeng Wu, Shiguang Li, Peng He, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 5263-5268
Closed Access

Nyon: A Ubiquitous Fall Detection Device for Elders
Cassandra Sofia dos Santos Jesus, Ana Rafaela Rosa, Rogério Dionísio
Lecture notes in networks and systems (2023), pp. 175-184
Open Access | Times Cited: 1

A Smart Wearable Fall Detection System for Firefighters Using V-RNN
Xiaoqing Chai, Boon Giin Lee, Matthew Pike, et al.
Lecture notes in computer science (2022), pp. 128-137
Closed Access | Times Cited: 2

Omurilik Felçli Fiziksel Engelli Bireylere Yönelik Giyilebilir Teknoloji Ürünlerdeki Sensörlerin Sahip Olması Gereken Özelliklerin Değerlendirilmesi
Emre YAZICI, Mehmet Tan, Hacı Mehmet Alakaş
International Conference on Applied Engineering and Natural Sciences (2023) Vol. 1, Iss. 1, pp. 775-790
Open Access

DIGITAL MEASUREMENT OF EMPLOYEE STRESS AND FATIGUE IN ARTIFICIAL INTELLIGENCE-DRIVEN WORKFORCE MANAGEMENT ENVIRONMENTS: AN EMPIRICAL STUDY USING AICOACH
Adam Dalnoki, Md Iftekhar Islam
EPRA International Journal of Multidisciplinary Research (IJMR) (2023), pp. 179-191
Open Access

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