Seng Kwee Wee

713 total citations
33 papers, 478 citations indexed

About

Seng Kwee Wee is a scholar working on Rehabilitation, Biomedical Engineering and Neurology. According to data from OpenAlex, Seng Kwee Wee has authored 33 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Rehabilitation, 12 papers in Biomedical Engineering and 11 papers in Neurology. Recurrent topics in Seng Kwee Wee's work include Stroke Rehabilitation and Recovery (24 papers), Botulinum Toxin and Related Neurological Disorders (11 papers) and Muscle activation and electromyography studies (9 papers). Seng Kwee Wee is often cited by papers focused on Stroke Rehabilitation and Recovery (24 papers), Botulinum Toxin and Related Neurological Disorders (11 papers) and Muscle activation and electromyography studies (9 papers). Seng Kwee Wee collaborates with scholars based in Singapore, United Kingdom and Switzerland. Seng Kwee Wee's co-authors include Karen Sui Geok Chua, Ann‐Marie Hughes, Martin Warner, Jane Burridge, Christopher Wee Keong Kuah, Olivier Lambercy, Roger Gassert, Theodore E. Milner, Etienne Burdet and Ludovic Dovat and has published in prestigious journals such as Sensors, Archives of Physical Medicine and Rehabilitation and Physical Therapy.

In The Last Decade

Seng Kwee Wee

30 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seng Kwee Wee Singapore 12 324 173 144 91 74 33 478
Nahid Norouzi-Gheidari Canada 6 402 1.2× 153 0.9× 173 1.2× 107 1.2× 78 1.1× 11 481
Nizan Friedman United States 7 385 1.2× 124 0.7× 88 0.6× 131 1.4× 85 1.1× 8 475
Justin B. Rowe United States 11 324 1.0× 180 1.0× 113 0.8× 95 1.0× 110 1.5× 20 452
Christoph M. Kanzler Switzerland 11 299 0.9× 147 0.8× 144 1.0× 114 1.3× 127 1.7× 30 482
Edwin Daniel Oña Spain 12 391 1.2× 147 0.8× 160 1.1× 169 1.9× 76 1.0× 34 588
Kendra M. Cherry‐Allen United States 10 258 0.8× 123 0.7× 99 0.7× 137 1.5× 121 1.6× 19 528
Jessica Barth United States 11 364 1.1× 120 0.7× 124 0.9× 116 1.3× 98 1.3× 19 519
Richard Willmann Netherlands 4 329 1.0× 189 1.1× 126 0.9× 103 1.1× 112 1.5× 6 471
Johanna Robertson France 14 289 0.9× 136 0.8× 158 1.1× 174 1.9× 92 1.2× 23 463
Chieh-ling Yang Canada 13 278 0.9× 137 0.8× 125 0.9× 107 1.2× 87 1.2× 24 433

Countries citing papers authored by Seng Kwee Wee

Since Specialization
Citations

This map shows the geographic impact of Seng Kwee Wee'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 Seng Kwee Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seng Kwee Wee more than expected).

Fields of papers citing papers by Seng Kwee Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seng Kwee Wee. 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 Seng Kwee Wee. The network helps show where Seng Kwee Wee may publish in the future.

Co-authorship network of co-authors of Seng Kwee Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Seng Kwee Wee. A scholar is included among the top collaborators of Seng Kwee Wee 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 Seng Kwee Wee. Seng Kwee Wee 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.
Yurkewich, Aaron, Francesco Missiroli, Seng Kwee Wee, et al.. (2025). Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations. Soft Robotics. 12(3). 303–314. 2 indexed citations
3.
Wang, Yifan, Meng Yuan, Lei Li, et al.. (2023). Graceful User Following for Mobile Balance Assistive Robot in Daily Activities Assistance. IFAC-PapersOnLine. 56(2). 1139–1144. 1 indexed citations
5.
Xiloyannis, Michele, Christopher Wee Keong Kuah, Seng Kwee Wee, et al.. (2022). Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1401–1411. 34 indexed citations
7.
Lambercy, Olivier, Karen Sui Geok Chua, Seng Kwee Wee, et al.. (2021). Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy?. Frontiers in Robotics and AI. 8. 612415–612415. 41 indexed citations
8.
Wee, Seng Kwee, Ann‐Marie Hughes, Martin Warner, & Jane Burridge. (2021). Longitudinal analysis of the recovery of trunk control and upper extremity following stroke: An individual growth curve approach. Topics in Stroke Rehabilitation. 29(1). 58–73. 3 indexed citations
9.
Kwong, Patrick Wai-Hang, et al.. (2020). An Asian-centric human movement database capturing activities of daily living. Scientific Data. 7(1). 290–290. 24 indexed citations
10.
Wee, Seng Kwee, et al.. (2020). Fall inducing movable platform (FIMP) for overground trips and slips. Journal of NeuroEngineering and Rehabilitation. 17(1). 161–161. 3 indexed citations
11.
Lin, Junquan, Ulla Milbreta, Jiah Shin Chin, et al.. (2019). Regenerative rehabilitation: exploring the synergistic effects of rehabilitation and implantation of a bio-functional scaffold in enhancing nerve regeneration. Biomaterials Science. 7(12). 5150–5160. 18 indexed citations
12.
Turk, Ruth, Martin Warner, Geert Verheyden, et al.. (2018). Do trunk exercises improve trunk and upper extremity performance, post stroke? A systematic review and meta-analysis. Neurorehabilitation. 43(4). 395–412. 21 indexed citations
13.
Chew, Sing Yian, et al.. (2018). A Developmental Rehabilitation Robotic System for a Rat With Complete Thoracic Spinal Cord Injury in Quadruped Posture. IEEE Robotics and Automation Letters. 3(3). 2109–2115. 7 indexed citations
14.
Wee, Seng Kwee, Ann‐Marie Hughes, Martin Warner, et al.. (2015). Effect of Trunk Support on Upper Extremity Function in People With Chronic Stroke and People Who Are Healthy. Physical Therapy. 95(8). 1163–1171. 26 indexed citations
15.
Wee, Seng Kwee, Ann‐Marie Hughes, Martin Warner, et al.. (2015). Impact of trunk control on upper extremity function in subacute and chronic stroke patients and healthy controls. Physiotherapy. 101. e1619–e1619. 3 indexed citations
16.
Wee, Seng Kwee, Ann‐Marie Hughes, Martin Warner, & Jane Burridge. (2014). Trunk Restraint to Promote Upper Extremity Recovery in Stroke Patients. Neurorehabilitation and neural repair. 28(7). 660–677. 59 indexed citations
17.
Wee, Seng Kwee, et al.. (2012). Benign paroxysmal positional vertigo in people with traumatic spinal cord injury: incidence, treatment efficacy and implications. American Journal of Otolaryngology. 33(6). 723–730. 4 indexed citations
18.
Lambercy, Olivier, Ludovic Dovat, Seng Kwee Wee, et al.. (2011). Effects of a robot-assisted training of grasp and pronation/supination in chronic stroke: a pilot study. Journal of NeuroEngineering and Rehabilitation. 8(1). 63–63. 93 indexed citations
19.
Lambercy, Olivier, Ludovic Dovat, Seng Kwee Wee, et al.. (2010). Robotic assessment of hand function with the HapticKnob. National University of Singapore. 33. 11 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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