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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:

Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning
Leandro Donisi, Giuseppe Cesarelli, Armando Coccia, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2593-2593
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Physical Exertion Recognition Using Surface Electromyography and Inertial Measurements for Occupational Ergonomics
Elsa Concha-Pérez, Hugo G. González-Hernández, Jorge A. Reyes-Avendaño
Sensors (2023) Vol. 23, Iss. 22, pp. 9100-9100
Open Access | Times Cited: 3
Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting
G. Prisco, Maria Romano, Fabrizio Esposito, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 870-875
Closed Access | Times Cited: 3
Biomechanical risk classification according to NIOSH in workers affected by occupational pathologies
Leandro Donisi, Giuseppe Cesarelli, E Capodaglio, et al.
2022 E-Health and Bioengineering Conference (EHB) (2022), pp. 1-4
Closed Access | Times Cited: 5
Ergonomics and Machine Learning: Wearable Sensors in the Prevention of Work-Related Musculoskeletal Disorders
Vanessa Fernandes, Érica Silva Mendonça, Maria Leonor Palma, et al.
Studies in systems, decision and control (2022), pp. 199-210
Closed Access | Times Cited: 4
Combining simulation and machine learning for the management of healthcare systems
Carlo Ricciardi, Giuseppe Cesarelli, Alfonso Maria Ponsiglione, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022) Vol. 14, pp. 335-339
Closed Access | Times Cited: 4
Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation
Leandro Donisi, Giuseppe Cesarelli, E Capodaglio, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022)
Closed Access | Times Cited: 4
The Impact of Ankle-Foot Orthoses on Spatio-Temporal Gait Parameters in Drop-Foot Patients
Federica Amitrano, Armando Coccia, Gaetano Pagano, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 3
Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task
Wenny Franciska Senjaya, Bernardo Nugroho Yahya, Seok‐Lyong Lee
Sensors (2022) Vol. 22, Iss. 22, pp. 8898-8898
Open Access | Times Cited: 3
The impact of ankle-foot orthosis on walking features of drop foot patients
Federica Amitrano, Armando Coccia, Giuseppe Cesarelli, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022), pp. 87-92
Closed Access | Times Cited: 3
Assessment of ergonomic risks in car radio manufacturing using the Suzanne Rodgers and NIOSH criteria: a practical application
Newmar Wanderley Prieto, Jandecy Cabral Leite, Carlos Américo de Souza Silva, et al.
Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2024) Vol. 15, Iss. 5, pp. e3800-e3800
Open Access
Classification algorithms trained on simple (symmetric) lifting data perform poorly in predicting hand loads during complex (free-dynamic) lifting tasks
Sakshi Taori, Sol Lim
Applied Ergonomics (2024) Vol. 125, pp. 104427-104427
Closed Access
Safety Standards And Their Relevance for Ergonomic Risk Assessment in Slovak Republic
Daniela Onofrejová, Miriam Andrejiová, Denisa Porubčanová, et al.
(2024)
Open Access
Classification Algorithms Trained on Simple (Symmetric) Lifting Data Perform Poorly in Predicting Hand Loads during Complex (Free-Dynamic) Lifting Tasks
Sakshi Taori, Sol Lim
(2024)
Closed Access
The Impact of New Technologies on Occupational Safety and Health from the Point of View of Their Academic Interest
Nieves Cuadrado-Cabello, Juan Ramón Lama-Ruiz, Ana de las Heras
Springer Proceedings in Materials (2024), pp. 381-391
Closed Access
Development of a wireless smart sensor system and case study on lifting risk assessment
Vignesh Selvaraj, Aditya Nagaraj, Benjamin Gregory Whiffen, et al.
Manufacturing Letters (2024) Vol. 41, pp. 229-240
Closed Access
Enhanced Biomechanical Risk Assessment in Manual Lifting: Comparing Inertial Measurement Units with Optoelectronic Systems for Composite Lifting Index Calculation
Tiwana Varrecchia, Filippo Motta, Giorgia Chini, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11292-11292
Open Access
Accuracy of Automatically Identifying the American Conference of Governmental Industrial Hygienists Threshold Limit Values Twelve Lifting Zones over Three Simplified Zones Using Computer Algorithm
Menekse S. Barim, Ming‐Lun Lu, Shuo Feng, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 111-111
Open Access
Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study
Giuseppe Cesarelli, Leandro Donisi, Armando Coccia, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 2
Performing a short sway to distinguish Parkinsonisms
Michela Russo, Carlo Ricciardi, Marianna Amboni, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022) Vol. 5, pp. 340-345
Closed Access | Times Cited: 2
A combined simulation and machine learning approach to classify severity of infarction patients
Anna Procopio, Giuseppe Cesarelli, Salvatore De Rosa, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022) Vol. 24, pp. 283-288
Closed Access | Times Cited: 2
A computer vision-based lifting task recognition method
SeHee Jung, Bingyi Su, Hanwen Wang, et al.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2022) Vol. 66, Iss. 1, pp. 1210-1214
Closed Access | Times Cited: 2
Rehabilitation outcome in patients with obstructive sleep apnea syndrome using wearable inertial sensor for gait analysis
Gaetano Pagano, Maria Aliani, Maddalena Genco, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 1
Biomechanical Risk Assessment of Human Lifting Tasks via Supervised Classification of Multiple Sensor Data
Alessandro Santopaolo, Marta Lorenzini, Luigi Privitera, et al.
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids) (2022), pp. 746-751
Closed Access | Times Cited: 1
Lifestyle-based health awareness using digital gadgets and online interactive platforms
Iqra Khan, Salman Akhtar, Mohammad Kalim Ahmad Khan
NeuroPharmac Journal (2021), pp. 295-310
Open Access | Times Cited: 1
Workwear with Loosely Coupled IMU Sensors for Posture Classification During Assembly Tasks: A Pilot Study
Markus Peters, Sascha Wischniewski
Lecture notes in networks and systems (2023), pp. 90-97
Closed Access

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