Jer-Junn Luh

1.2k total citations
61 papers, 885 citations indexed

About

Jer-Junn Luh is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Jer-Junn Luh has authored 61 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 18 papers in Cognitive Neuroscience and 12 papers in Rehabilitation. Recurrent topics in Jer-Junn Luh's work include Muscle activation and electromyography studies (27 papers), EEG and Brain-Computer Interfaces (13 papers) and Stroke Rehabilitation and Recovery (11 papers). Jer-Junn Luh is often cited by papers focused on Muscle activation and electromyography studies (27 papers), EEG and Brain-Computer Interfaces (13 papers) and Stroke Rehabilitation and Recovery (11 papers). Jer-Junn Luh collaborates with scholars based in Taiwan, United States and Japan. Jer-Junn Luh's co-authors include Jin‐Shin Lai, Cheng‐Kung Cheng, Ta‐Te Lin, Gwo-Ching Chang, Te‐Son Kuo, Wen‐Shiang Chen, Tsung‐Han Hsieh, Jia‐Jin Jason Chen, Li‐Chen Fu and Te-Son Kuo and has published in prestigious journals such as Expert Systems with Applications, Medicine and Frontiers in Human Neuroscience.

In The Last Decade

Jer-Junn Luh

59 papers receiving 843 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jer-Junn Luh Taiwan 15 582 315 211 151 72 61 885
N.S. Stoykov United States 12 488 0.8× 222 0.7× 100 0.5× 205 1.4× 52 0.7× 20 692
Ben Heller United Kingdom 19 645 1.1× 167 0.5× 160 0.8× 96 0.6× 48 0.7× 77 1.1k
Sibylle Thies United Kingdom 19 587 1.0× 218 0.7× 199 0.9× 122 0.8× 38 0.5× 45 1.2k
Alcimar Barbosa Soares Brazil 14 427 0.7× 249 0.8× 98 0.5× 171 1.1× 82 1.1× 66 729
Antonio J. del‐Ama Spain 22 808 1.4× 259 0.8× 533 2.5× 153 1.0× 45 0.6× 74 1.4k
Kalaivani Chellappan Malaysia 12 686 1.2× 496 1.6× 75 0.4× 187 1.2× 94 1.3× 72 1.2k
Alessandro Scano Italy 19 652 1.1× 462 1.5× 407 1.9× 43 0.3× 65 0.9× 72 983
Mathew Yarossi United States 16 230 0.4× 247 0.8× 278 1.3× 92 0.6× 63 0.9× 55 725
Nada Signal New Zealand 18 215 0.4× 340 1.1× 222 1.1× 93 0.6× 49 0.7× 56 794
Thomas Hoellinger Belgium 14 563 1.0× 677 2.1× 267 1.3× 172 1.1× 109 1.5× 26 1.2k

Countries citing papers authored by Jer-Junn Luh

Since Specialization
Citations

This map shows the geographic impact of Jer-Junn Luh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jer-Junn Luh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jer-Junn Luh more than expected).

Fields of papers citing papers by Jer-Junn Luh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jer-Junn Luh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jer-Junn Luh. The network helps show where Jer-Junn Luh may publish in the future.

Co-authorship network of co-authors of Jer-Junn Luh

This figure shows the co-authorship network connecting the top 25 collaborators of Jer-Junn Luh. A scholar is included among the top collaborators of Jer-Junn Luh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jer-Junn Luh. Jer-Junn Luh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tai, Chun‐Hwei, et al.. (2024). Influence of Verbal Instruction on Gait Training in Parkinson Disease: A Randomized Controlled Trial. American Journal of Physical Medicine & Rehabilitation. 103(7). 617–623. 1 indexed citations
2.
Lee, Ya‐Yun, et al.. (2021). Reliability of using foot-worn devices to measure gait parameters in people with Parkinson’s disease. Neurorehabilitation. 49(1). 57–64. 5 indexed citations
3.
Wu, Chueh‐Hung, Jer-Junn Luh, Tyng‐Guey Wang, et al.. (2019). The effect of electroacupuncture merged with rehabilitation for frozen shoulder syndrome: A single-blind randomized sham-acupuncture controlled study. Journal of the Formosan Medical Association. 119(1). 81–88. 22 indexed citations
4.
Chiu, Ming‐Jang, et al.. (2018). Practice Variability Combined with Task-Oriented Electromyographic Biofeedback Enhances Strength and Balance in People with Chronic Stroke. Behavioural Neurology. 2018. 1–9. 14 indexed citations
5.
Luh, Jer-Junn, et al.. (2017). Football APP based on smart phone with FES in drop foot rehabilitation. Technology and Health Care. 25(3). 541–555. 4 indexed citations
6.
Lai, Jin‐Shin, et al.. (2013). Low-Cost Tele-assessment System for Home-Based Evaluation of Reaching Ability Following Stroke. Telemedicine Journal and e-Health. 19(12). 973–978. 12 indexed citations
7.
8.
Fu, Li‐Chen, et al.. (2012). Arm exoskeleton rehabilitation robot with assistive system for patient after stroke. International Conference on Control, Automation and Systems. 1943–1948. 14 indexed citations
9.
Luh, Jer-Junn, et al.. (2012). Dosage of neuromuscular electrical stimulation: Is it a determinant of upper limb functional improvement in stroke patients?. Journal of Rehabilitation Medicine. 44(2). 125–130. 16 indexed citations
10.
Luh, Jer-Junn, et al.. (2012). A modified multi-channel EMG feature for upper limb motion pattern recognition. PubMed. 31. 3596–3599. 4 indexed citations
11.
12.
Cheng, Po‐Hsun, Heng‐Shuen Chen, Jer-Junn Luh, et al.. (2010). An Agile Enterprise Regulation Architecture for Health Information Security Management. Telemedicine Journal and e-Health. 16(7). 807–817. 6 indexed citations
13.
Lai, Jin‐Shin, et al.. (2010). Electric compass aided global positioning system navigation for powered wheelchairs. Disability and Rehabilitation Assistive Technology. 5(3). 223–229. 2 indexed citations
14.
Liang, Huey‐Wen, et al.. (2008). Electrophysiological and Functional Effects of Shock Waves on the Sciatic Nerve of Rats. Ultrasound in Medicine & Biology. 34(10). 1688–1696. 25 indexed citations
15.
Yeh, Chih‐Kuang, et al.. (2008). In vivo imaging of blood flow in the mouse Achilles tendon using high-frequency ultrasound. Ultrasonics. 49(2). 226–230. 23 indexed citations
16.
Chen, Wen‐Shiang, et al.. (2008). Thermal effect of sonophoresis for accelerating the analgesic effect of local anesthetics on rat tail nerve. PubMed. 62. 2504–2507. 4 indexed citations
17.
Luh, Jer-Junn, et al.. (2004). Development and Application of a Versatile FES System. Journal of Medical and Biological Engineering. 24(1). 37–43. 2 indexed citations
18.
Chen, Woei‐Luen, et al.. (2003). Application of SEMG in computer mouse access for the disabilities. Disability and Rehabilitation. 25(4-5). 218–223. 4 indexed citations
19.
Lai, Jin‐Shin, et al.. (2002). SEMG-controlled telephone interface for people with disabilities. Journal of Medical Engineering & Technology. 26(4). 173–176. 6 indexed citations
20.
Luh, Jer-Junn, Gwo-Ching Chang, Cheng‐Kung Cheng, Jin‐Shin Lai, & Te‐Son Kuo. (1999). Isokinetic elbow joint torques estimation from surface EMG and joint kinematic data: using an artificial neural network model. Journal of Electromyography and Kinesiology. 9(3). 173–183. 92 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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