Huijing Hu
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
-
- Neuroscience and Music Perception
- EEG and Brain-Computer Interfaces
Papers in
-
- Muscle activation and electromyography studies 11
-
- EEG and Brain-Computer Interfaces 5
- Neuroscience and Music Perception 3
- Hearing Loss and Rehabilitation 3
- Co-authors
- Le Li (20 shared papers)Hanjun Liu (4 shared papers)Peng Liu (3 shared papers)Zhiqiang Guo (2 shared papers)Wai Leung Ambrose Lo (4 shared papers)Weifeng Li (2 shared papers)Yan Li (5 shared papers)Xiaohan Wang (2 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)Frontiers in Neurology (4 papers)Scientific Reports (2 papers)Frontiers in Physiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Huijing Hu
43 papers receiving 420 citations
Peers
Comparison fields: 5 of 87
- Rehabilitation 78
- Cognitive Neuroscience 96
- Neurology 39
- Physical Therapy, Sports Therapy and Rehabilitation 19
- Pharmaceutical Science 18
Countries citing papers authored by Huijing Hu
This map shows the geographic impact of Huijing 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 Huijing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huijing Hu more than expected).
Fields of papers citing papers by Huijing Hu
This network shows the impact of papers produced by Huijing 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 Huijing Hu. The network helps show where Huijing Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huijing Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 30 | |
| 2 | 2015 | 27 | |
| 3 | 2015 | 26 | |
| 4 | 2015 | 25 | |
| 5 | 2014 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2011 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2005 | 9 |
About Huijing Hu
Huijing Hu is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Psychiatry and Mental health and Physiology, having authored 49 papers that have together received 427 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), Stroke Rehabilitation and Recovery (8 papers), Cerebral Palsy and Movement Disorders (7 papers), EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Music Perception (3 papers), Body Composition Measurement Techniques (3 papers), Hearing Loss and Rehabilitation (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Rehabilitation (78 citations), Cognitive Neuroscience (96 citations), Neurology (39 citations), Physical Therapy, Sports Therapy and Rehabilitation (19 citations) and Pharmaceutical Science (18 citations). Huijing Hu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Le Li, Hanjun Liu, Peng Liu, Zhiqiang Guo, Wai Leung Ambrose Lo, Weifeng Li, Yan Li, Xiaohan Wang, Jeffery A. Jones and Ping Zhou. Their work appears in journals such as Frontiers in Neuroscience, Frontiers in Neurology, Scientific Reports, Frontiers in Physiology and PLoS ONE.
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.