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:

Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial
Stefano Mazzoleni, Vi-Do Tran, Paolo Dario, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 7, pp. 1458-1466
Closed Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

Efficacy and safety of transcranial direct current stimulation for post-stroke spasticity: A meta-analysis of randomised controlled trials
Jiapeng Huang, Yun Qu, Lini Liu, et al.
Clinical Rehabilitation (2021) Vol. 36, Iss. 2, pp. 158-171
Closed Access | Times Cited: 12

Efficacy of Neurostimulations for Upper Extremity Function Recovery after Stroke: A Systematic Review and Network Meta-Analysis
Tao Xue, Zeya Yan, Jiahao Meng, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 20, pp. 6162-6162
Open Access | Times Cited: 7

Transcranial direct current stimulation for upper extremity motor dysfunction in poststroke patients: A systematic review and meta-analysis
Xian Tang, Nan Zhang, Zhiyuan Shen, et al.
Clinical Rehabilitation (2024) Vol. 38, Iss. 6, pp. 749-769
Closed Access | Times Cited: 1

Effects of anodal transcranial direct current stimulation on postural stability in subacute stroke: A randomized control trial
Somia Shakeb, Mirza Obaid Baig, Turki Abualait, et al.
Physiological Reports (2024) Vol. 12, Iss. 19
Open Access | Times Cited: 1

A Review on Combined Strategy of Non-invasive Brain Stimulation and Robotic Therapy
Leiyu Zhang, Yawei Chang, Feiran Zhang, et al.
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 1

Effects of four weeks intervention combining high-definition transcranial direct current stimulation and foot core exercise on dynamic postural stability
Baofeng Wang, Bin Shen, Songlin Xiao, et al.
Journal of Biomechanics (2024) Vol. 177, pp. 112418-112418
Closed Access | Times Cited: 1

Transcranial Direct Current Stimulation for Motor Recovery Following Brain Injury
April Pruski, Gabriela Cantarero
Current Physical Medicine and Rehabilitation Reports (2020) Vol. 8, Iss. 3, pp. 268-279
Closed Access | Times Cited: 8

Multifocal Noninvasive Magnetic Stimulation of the Primary Motor Cortex in Type 1 Myotonic Dystrophy –A Proof of Concept Pilot Study
Ericka Greene, Jason R. Thonhoff, Blessy John, et al.
Journal of Neuromuscular Diseases (2021) Vol. 8, Iss. 6, pp. 963-972
Closed Access | Times Cited: 6

Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review
Federica Bressi, Laura Cricenti, Benedetta Campagnola, et al.
Neurorehabilitation (2022) Vol. 51, Iss. 4, pp. 541-558
Open Access | Times Cited: 4

Optimizing electrode placement for transcranial direct current stimulation in nonsuperficial cortical regions: a computational modeling study
Da Som Choi, Sangjun Lee
Biomedical Engineering Letters (2023) Vol. 14, Iss. 2, pp. 255-265
Open Access | Times Cited: 2

What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology
Caitlin Carswell, Paul Rea
Advances in experimental medicine and biology (2021), pp. 131-145
Closed Access | Times Cited: 5

Combined transcranial Direct Current Stimulation and robot-assisted arm training in patients with stroke: a systematic review
Cristina Fonte, Valentina Varalta, Arianna Di Rocco, et al.
Restorative Neurology and Neuroscience (2021) Vol. 39, Iss. 6, pp. 435-446
Closed Access | Times Cited: 5

Barriers to Enrollment in Post-Stroke Brain Stimulation in a Racially and Ethnically Diverse Population
Timea Hodics, Leonardo G. Cohen, John C. Pezzullo, et al.
Neurorehabilitation and neural repair (2022) Vol. 36, Iss. 9, pp. 596-602
Open Access | Times Cited: 3

Patient-tailored Transcranial Direct Current Stimulation to Improve Stroke Rehabilitation: Study Protocol of a Randomized Sham-controlled Trial
Mia Kolmos, Mads A.J. Madsen, Marie Louise Liu, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

Is the Combination of Robot-Assisted Therapy and Transcranial Direct Current Stimulation Useful for Upper Limb Motor Recovery? A Systematic Review with Meta-Analysis
Juan J. Bernal‐Jiménez, Begoña Polonio López, Ancor Sanz‐García, et al.
Healthcare (2024) Vol. 12, Iss. 3, pp. 337-337
Open Access

Neurobiology of Amphetamine use in Stroke Recovery Combined with Rehabilitative Training and Brain Stimulation
Mohammad Uzair, Arshad Muhammad, Turki Abualait, et al.
CNS & Neurological Disorders - Drug Targets (2022) Vol. 22, Iss. 6, pp. 857-874
Closed Access | Times Cited: 2

Effects of Transcranial Direct Current Stimulation on Stroke Based on Brain Functional Networks
Hongli Yu, Hongli Wang, Mengmeng Liu, et al.
IEEE Transactions on Magnetics (2021) Vol. 57, Iss. 6, pp. 1-4
Closed Access | Times Cited: 2

The Convergence Effect of Task-Oriented Training and Vibration Stimulation, Transcranial Direct Current Stimulation to Improve Upper Limb Function in Stroke
Sun‐Ho Kim
Journal of the Korean Chemical Society (2020) Vol. 11, Iss. 9, pp. 31-37
Closed Access | Times Cited: 1

Approach of driving system for lower limb rehabilitation training robot based on strong tracking filtering
D. Jiang, Guoquan Shi, Bing Zhang, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2020), pp. 1203-1208
Closed Access | Times Cited: 1

Testing the feasibility of quantizing the progress of stroke patients’ rehabilitation with a computer vision method
Shuai Zhao, Yao Tong, Gang Chen, et al.
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) (2022), pp. 1-4
Closed Access | Times Cited: 1

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