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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:

Lifting Activity Assessment Using Kinematic Features and Neural Networks
Tiwana Varrecchia, Cristiano De Marchis, Francesco Draicchio, et al.
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 1989-1989
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Wearable inertial sensors for human movement analysis: a five-year update
P. Di Pietro, Marco Iosa, Clive D’Souza, et al.
Expert Review of Medical Devices (2021) Vol. 18, Iss. sup1, pp. 79-94
Closed Access | Times Cited: 77
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
An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters
Tiwana Varrecchia, Stefano Filippo Castiglia, Alberto Ranavolo, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0244396-e0244396
Open Access | Times Cited: 40
The Effects of Upper-Body Exoskeletons on Human Metabolic Cost and Thermal Response during Work Tasks—A Systematic Review
Simona Del Ferraro, Tiziana Falcone, Alberto Ranavolo, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 20, pp. 7374-7374
Open Access | Times Cited: 46
The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics
Alberto Ranavolo, Arash Ajoudani, Andrea Cherubini, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5750-5750
Open Access | Times Cited: 45
Equivalent Weight: Connecting Exoskeleton Effectiveness with Ergonomic Risk during Manual Material Handling
Christian Di Natali, Giorgia Chini, Stefano Toxiri, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 5, pp. 2677-2677
Open Access | Times Cited: 39
Adaptive Lifting Index (aLI) for Real-Time Instrumental Biomechanical Risk Assessment: Concepts, Mathematics, and First Experimental Results
Alberto Ranavolo, Arash Ajoudani, Giorgia Chini, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1474-1474
Open Access | Times Cited: 4
Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning
Fatemeh Davoudi Kakhki, Hardik Vora, Armin Moghadam
Biosensors (2025) Vol. 15, Iss. 2, pp. 84-84
Open Access
Trunk Muscle Coactivation in People with and without Low Back Pain during Fatiguing Frequency-Dependent Lifting Activities
Tiwana Varrecchia, Silvia Conforto, Alessandro Marco De Nunzio, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1417-1417
Open Access | Times Cited: 17
A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk
Guoyang Zhou, Vaneet Aggarwal, Ming Yin, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 2, pp. 207-219
Closed Access | Times Cited: 17
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks
Leandro Donisi, Giuseppe Cesarelli, E Capodaglio, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2624-2624
Open Access | Times Cited: 15
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings
Leandro Donisi, Deborah Jacob, Lorena Guerrini, et al.
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1103-1103
Open Access | Times Cited: 8
Interdisciplinary evaluation of a robot physically collaborating with workers
Andrea Cherubini, Benjamin Navarro, Robin Passama, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0291410-e0291410
Open Access | Times Cited: 7
Bipolar versus high-density surface electromyography for evaluating risk in fatiguing frequency-dependent lifting activities
Tiwana Varrecchia, Alberto Ranavolo, Silvia Conforto, et al.
Applied Ergonomics (2021) Vol. 95, pp. 103456-103456
Open Access | Times Cited: 16
Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH
Leandro Donisi, E Capodaglio, Gaetano Pagano, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 11
Machine Learning for Detection and Risk Assessment of Lifting Action
Brennan Thomas, Ming‐Lun Lu, Rashmi Jha, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 6, pp. 1196-1204
Open Access | Times Cited: 11
The assistance of BAZAR robot promotes improved upper limb motor coordination in workers performing an actual use-case manual material handling
Tiwana Varrecchia, Giorgia Chini, Sonny Tarbouriech, et al.
Ergonomics (2023) Vol. 66, Iss. 12, pp. 1950-1967
Open Access | Times Cited: 6
Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human–Robot Collaborative Technologies
Alberto Ranavolo, Mariano Serrao, Francesco Draicchio
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 14
Lifting Activities Assessment Using Lumbosacral Compression and Shear Forces
Tiwana Varrecchia, Giorgia Chini, Mariano Serrao, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6044-6044
Open Access | Times Cited: 1
The Use of Wearable Systems for Assessing Work-Related Risks Related to the Musculoskeletal System—A Systematic Review
Filippo Motta, Tiwana Varrecchia, Giorgia Chini, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 12, pp. 1567-1567
Open Access | Times Cited: 1
Centre of pressure parameters for the assessment of biomechanical risk in fatiguing frequency-dependent lifting activities
Carmen D’Anna, Tiwana Varrecchia, Alberto Ranavolo, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0266731-e0266731
Open Access | Times Cited: 6
Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment
Yeshasvi Tirupachuri, Prashanth Ramadoss, Lorenzo Rapetti, et al.
IEEE Access (2021) Vol. 9, pp. 123260-123279
Open Access | Times Cited: 6
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
Lower Limb Muscle Co-Activation Maps in Single and Team Lifting at Different Risk Levels
Giorgia Chini, Tiwana Varrecchia, Mariano Serrao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4635-4635
Open Access
Video-Based Lifting Action Recognition Using Rank-Altered Kinematic Feature Pairs
SeHee Jung, Bingyi Su, Lu Lu, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2024)
Closed Access
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