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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:

Closed-Loop Control of Grasping With a Myoelectric Hand Prosthesis: Which Are the Relevant Feedback Variables for Force Control?
Andrei Ninu, Strahinja Došen, Silvia Muceli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014) Vol. 22, Iss. 5, pp. 1041-1052
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Sensory feedback by peripheral nerve stimulation improves task performance in individuals with upper limb loss using a myoelectric prosthesis
Matthew A. Schiefer, Daniel Tan, Steven M Sidek, et al.
Journal of Neural Engineering (2015) Vol. 13, Iss. 1, pp. 016001-016001
Open Access | Times Cited: 236
Restoration of sensory information via bionic hands
Sliman J. Bensmaı̈a, Dustin J. Tyler, Silvestro Micera
Nature Biomedical Engineering (2020) Vol. 7, Iss. 4, pp. 443-455
Open Access | Times Cited: 189
A Review of Non-Invasive Sensory Feedback Methods for Transradial Prosthetic Hands
Benjamin Stephens-Fripp, Gürsel Alıcı, Rahim Mutlu
IEEE Access (2018) Vol. 6, pp. 6878-6899
Open Access | Times Cited: 183
A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control
Jonathon W. Sensinger, Strahinja Došen
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 164
Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
Shuo Jiang, Peiqi Kang, Xinyu Song, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 15, pp. 85-102
Closed Access | Times Cited: 141
Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement
Haisheng Xia, Yuchong Zhang, Nona Rajabi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Deep learning-based artificial vision for grasp classification in myoelectric hands
Ghazal Ghazaei, Ali Alameer, Patrick Degenaar, et al.
Journal of Neural Engineering (2017) Vol. 14, Iss. 3, pp. 036025-036025
Open Access | Times Cited: 164
Bionic Limbs: Clinical Reality and Academic Promises
Dario Farina, Oskar C. Aszmann
Science Translational Medicine (2014) Vol. 6, Iss. 257
Closed Access | Times Cited: 137
The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
Marko Marković, Meike A. Schweisfurth, Leonard F. Engels, et al.
Journal of NeuroEngineering and Rehabilitation (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 118
Multichannel Electrotactile Feedback With Spatial and Mixed Coding for Closed-Loop Control of Grasping Force in Hand Prostheses
Strahinja Došen, Marko Marković, Matija Štrbac, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 3, pp. 183-195
Open Access | Times Cited: 109
Electrotactile EMG feedback improves the control of prosthesis grasping force
Meike A. Schweisfurth, Marko Marković, Strahinja Došen, et al.
Journal of Neural Engineering (2016) Vol. 13, Iss. 5, pp. 056010-056010
Closed Access | Times Cited: 106
EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis
Strahinja Došen, Marko Marković, Kelef Somer, et al.
Journal of NeuroEngineering and Rehabilitation (2015) Vol. 12, Iss. 1
Open Access | Times Cited: 98
Integrated and flexible multichannel interface for electrotactile stimulation
Matija Štrbac, Minja Belić, Milica Isaković, et al.
Journal of Neural Engineering (2016) Vol. 13, Iss. 4, pp. 046014-046014
Open Access | Times Cited: 94
The science and engineering behind sensitized brain-controlled bionic hands
Chethan Pandarinath, Sliman J. Bensmaı̈a
Physiological Reviews (2021) Vol. 102, Iss. 2, pp. 551-604
Open Access | Times Cited: 56
Intuitive Human-Robot-Environment Interaction with EMG Signals: A Review
Dezhen Xiong, Daohui Zhang, Yaqi Chu, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 5, pp. 1075-1091
Closed Access | Times Cited: 13
Short- and Long-Term Learning of Feedforward Control of a Myoelectric Prosthesis with Sensory Feedback by Amputees
Matija Štrbac, Milica Isaković, Minja Belić, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 25, Iss. 11, pp. 2133-2145
Closed Access | Times Cited: 85
The RIC Arm—A Small Anthropomorphic Transhumeral Prosthesis
Tommaso Lenzi, James H. Lipsey, Jonathon W. Sensinger
IEEE/ASME Transactions on Mechatronics (2016) Vol. 21, Iss. 6, pp. 2660-2671
Closed Access | Times Cited: 81
HapPro: A Wearable Haptic Device for Proprioceptive Feedback
Matteo Rossi, Matteo Bianchi, Edoardo Battaglia, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 1, pp. 138-149
Open Access | Times Cited: 72
The Rice Haptic Rocker: Skin stretch haptic feedback with the Pisa/IIT SoftHand
Edoardo Battaglia, Janelle P. Clark, Matteo Bianchi, et al.
(2017), pp. 7-12
Open Access | Times Cited: 66
Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses
Enzo Mastinu, Leonard F. Engels, Francesco Clemente, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 59
Multichannel haptic feedback unlocks prosthetic hand dexterity
A. Moaed, Joseph Ingicco, Douglas T. Hutchinson, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32
Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels
Alessandro Marco De Nunzio, Strahinja Došen, Sabrina Lemling, et al.
Experimental Brain Research (2017) Vol. 235, Iss. 8, pp. 2547-2559
Open Access | Times Cited: 60
Reflections on the present and future of upper limb prostheses
Dario Farina, Sebastian Amsüss
Expert Review of Medical Devices (2016) Vol. 13, Iss. 4, pp. 321-324
Closed Access | Times Cited: 58
Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping
Marko Marković, Meike A. Schweisfurth, Leonard F. Engels, et al.
Journal of NeuroEngineering and Rehabilitation (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 58
GLIMPSE: Google Glass interface for sensory feedback in myoelectric hand prostheses
Marko Marković, Hemanth Karnal, Bernhard Graimann, et al.
Journal of Neural Engineering (2017) Vol. 14, Iss. 3, pp. 036007-036007
Closed Access | Times Cited: 52
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