Xiaoling Hu

103 papers receiving 2.7k citations

Peers

Xiaoling Hu
Comparison fields: 5 of 107
  • Rehabilitation 1.5k
  • Cognitive Neuroscience 817
  • Biomedical Engineering 1.5k
  • Neurology 395
  • Neurology 152
Replace Sheng Li with:
Sheng Li United States
Charles G. Burgar United States
Brian D. Schmit United States
Sean P. Dukelow Canada
Carmelo Chisari Italy
Fabrizio Pisano Italy
Janis J. Daly United States
Charlotte K. Häger Sweden
Na Jin Seo United States
Sivakumar Balasubramanian India
Xiaoling Hu relative to Sheng Li United States Sheng Li's profile →
Citations per field
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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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014245
2 2011232
3 2008159
4 2009152
5 2008105
6 2013105
7 2010105
8 201384
9 201483
10 200781
11 200776
12 201171
13 201770
14 202058
15 201157
16 201746
17 201743
18 201343
19 201942
20 201740

About Xiaoling Hu

Xiaoling Hu is a scholar working on Rehabilitation, Biomedical Engineering, Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (55 papers), Muscle activation and electromyography studies (43 papers), EEG and Brain-Computer Interfaces (28 papers), Botulinum Toxin and Related Neurological Disorders (18 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 (1.5k citations), Cognitive Neuroscience (817 citations), Biomedical Engineering (1.5k citations), Neurology (395 citations) and Neurology (152 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, Wendy M. Murray, Evan A. Susanto, 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, Archives of Physical Medicine and Rehabilitation, Journal of Neural Engineering and Frontiers in Aging Neuroscience.

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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