Xiaoling Hu

107 papers receiving 2.8k citations

Peers

Xiaoling Hu
Comparison fields: 5 of 109
  • Rehabilitation 1.6k
  • Cognitive Neuroscience 871
  • Biomedical Engineering 1.7k
  • Neurology 435
  • Neurology 157
Replace Sheng Li with:
Sheng Li United States
Charles G. Burgar United States
Brian D. Schmit United States
Carmelo Chisari Italy
Mark Ferraro United States
Jayme S. Knutson United States
Janis J. Daly United States
Charlotte K. Häger Sweden
Sivakumar Balasubramanian India
Ronald J. Triolo United States
Xiaoling Hu relative to Sheng Li United States Sheng Li's profile →
Citations per field
00.5×3.4×
Sheng Li · 1×
Citations per year

Countries citing papers authored by Xiaoling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoling Hu. 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 Xiaoling Hu. The network helps show where Xiaoling Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoling Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoling Hu Line = papers co-authored together Xiaoling Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014258
2 2011251
3 2008167
4 2009166
5 2013113
6 2010113
7 2008109
8 201488
9 201388
10 200784
11 201177
12 200777
13 201776
14 202059
15 201157
16 201749
17 201946
18 201746
19 201344
20 201743

About Xiaoling Hu

Xiaoling Hu is a scholar working on Rehabilitation, Biomedical Engineering, Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (58 papers), Muscle activation and electromyography studies (44 papers), EEG and Brain-Computer Interfaces (29 papers), Botulinum Toxin and Related Neurological Disorders (20 papers), Neuroscience and Neural Engineering (9 papers), Transcranial Magnetic Stimulation Studies (6 papers), Motor Control and Adaptation (5 papers) and Cerebral Palsy and Movement Disorders (4 papers). The work is most often cited by research in Rehabilitation (1.6k citations), Cognitive Neuroscience (871 citations), Biomedical Engineering (1.7k citations), Neurology (435 citations) and Neurology (157 citations). Xiaoling Hu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Raymond Kai‐Yu Tong, Rong Song, Le Li, X.X. Wei, Evan A. Susanto, Wendy M. Murray, W. Rong, Wei Rong, Xiujuan Zheng and Wallace Woon‐Fong Leung. Their work appears in journals such as Journal of Electromyography and Kinesiology, Journal of NeuroEngineering and Rehabilitation, Journal of Neural Engineering, Archives of Physical Medicine and Rehabilitation and Frontiers in Neurology.

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.

Explore authors with similar magnitude of impact