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:

Erratum to: Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations
Elliot Greenwald, Matthew R. Masters, Nitish V. Thakor
Medical & Biological Engineering & Computing (2016) Vol. 54, Iss. 1, pp. 19-22
Open Access | Times Cited: 23

Showing 23 citing articles:

Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia
John D. Simeral, Tommy Hosman, Jad Saab, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 7, pp. 2313-2325
Open Access | Times Cited: 124

Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording
Anoop C. Patil, Nitish V. Thakor
Medical & Biological Engineering & Computing (2016) Vol. 54, Iss. 1, pp. 23-44
Closed Access | Times Cited: 136

Poly(3,4‐ethylenedioxythiophene)‐Based Neural Interfaces for Recording and Stimulation: Fundamental Aspects and In Vivo Applications
Michele Bianchi, Anna De Salvo, Maria Asplund, et al.
Advanced Science (2022) Vol. 9, Iss. 12
Open Access | Times Cited: 60

Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges
David Yogev, Tomer Goldberg, Amir Arami, et al.
APL Bioengineering (2023) Vol. 7, Iss. 3
Open Access | Times Cited: 34

Implantable neurotechnologies: a review of integrated circuit neural amplifiers
Kian Ann Ng, Elliot Greenwald, Yong Ping Xu, et al.
Medical & Biological Engineering & Computing (2016) Vol. 54, Iss. 1, pp. 45-62
Open Access | Times Cited: 77

A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks
Stefano Buccelli, Yannick Bornat, Ilaria Colombi, et al.
iScience (2019) Vol. 19, pp. 402-414
Open Access | Times Cited: 59

Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering
Michela Chiappalone, Vinícius Rosa Cota, Marta Carè, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1578-1578
Open Access | Times Cited: 23

Implantable neurotechnologies: electrical stimulation and applications
Sudip Nag, Nitish V. Thakor
Medical & Biological Engineering & Computing (2016) Vol. 54, Iss. 1, pp. 63-76
Closed Access | Times Cited: 44

Progress in Neuroengineering for brain repair: New challenges and open issues
Gabriella Panuccio, Marianna Semprini, Lorenzo Natale, et al.
Brain and Neuroscience Advances (2018) Vol. 2
Open Access | Times Cited: 40

A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks
Hanna Keren, Johannes Partzsch, Shimon Marom, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 26

Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery
Ashesh Shah, J. Coste, Jean‐Jacques Lemaire, et al.
Medical & Biological Engineering & Computing (2016) Vol. 55, Iss. 5, pp. 845-858
Open Access | Times Cited: 18

Sensing and Control for Prosthetic Hands in Clinical and Research Applications
Luke E. Osborn, Mark M. Iskarous, Nitish V. Thakor
Elsevier eBooks (2019), pp. 445-468
Closed Access | Times Cited: 18

Prosthetic Hand with Biomimetic Tactile Sensing and Force Feedback
William Taube Navaraj, Habib Nassar, Ravinder Dahiya
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2019), pp. 1-4
Closed Access | Times Cited: 17

Miniaturized-electroneurostimulators and self-powered/rechargeable implanted devices for electrical-stimulation therapy
Sathish Reddy, Liumin He, Seeram Ramakrishana
Biomedical Signal Processing and Control (2018) Vol. 41, pp. 255-263
Closed Access | Times Cited: 16

A Software-Defined Radio Receiver for Wireless Recording From Freely Behaving Animals
Yaoyao Jia, Byunghun Lee, Fanpeng Kong, et al.
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 6, pp. 1645-1654
Open Access | Times Cited: 12

A programmable fully-integrated microstimulator for neural implants and instrumentation
Anh Tuan Nguyen, Jian Xu, Wing-kin Tam, et al.
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2016), pp. 472-475
Closed Access | Times Cited: 11

A neuroprosthetic system to restore neuronal communication in modular networks
Stefano Buccelli, Yannick Bornat, Ilaria Colombi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 7

Numerical optimization of coordinated reset stimulation for desynchronizing neuronal network dynamics
Shigeru Kubota, Jonathan Rubin
Journal of Computational Neuroscience (2018) Vol. 45, Iss. 1, pp. 45-58
Closed Access | Times Cited: 6

Capacitive-Piezoelectric Tandem Architecture for Biomimetic Tactile Sensing in Prosthetic Hand
William Taube Navarai, Oliver Ozioko, Ravinder Dahiya
IEEE Sensors (2018), pp. 1-4
Closed Access | Times Cited: 6

Distributed Neural Interfaces: Challenges and Trends in Scaling Implantable Technology
Katarzyna M. Szostak, Peilong Feng, Federico Mazza, et al.
Handbook of Neuroengineering (2021), pp. 1-37
Closed Access | Times Cited: 6

Low-power 3D integration using inductive coupling links for neurotechnology applications
Benjamin J. Fletcher, Shidhartha Das, Chi‐Sang Poon, et al.
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2018) Vol. 11, pp. 1211-1216
Open Access | Times Cited: 4

An Ultra-Compact Low-Powered Closed-Loop Device for Control of the Neuromuscular System
Davide Polese, Luca Pazzini, Ignacio Delgado, et al.
Lecture notes in computer science (2017), pp. 60-67
Closed Access | Times Cited: 2

Energy-Efficient Electrical Stimulation Systems
Arnab Banerjee, Sudip Nag
Handbook of Neuroengineering (2021), pp. 1-26
Closed Access

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