Zan Yue
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
Papers in
-
- 3D Printing in Biomedical Research 4
- Bone Tissue Engineering Materials 3
- Muscle activation and electromyography studies 3
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- EEG and Brain-Computer Interfaces 8
- Co-authors
- Jing Wang (10 shared papers)Xue Zhang (3 shared papers)Renjun Pei (8 shared papers)Tingting Zhang (6 shared papers)Min Liu (7 shared papers)Tianyu Ni (7 shared papers)Yajie Zhang (7 shared papers)Hong Chen (3 shared papers)
- Journals
- ACS Applied Bio Materials (3 papers)Frontiers in Neuroscience (2 papers)Behavioural Neurology (2 papers)Frontiers in Human Neuroscience (2 papers)Materials Science and Engineering C (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zan Yue
20 papers receiving 594 citations
Peers
Comparison fields: 5 of 84
- Rehabilitation 237
- Biomedical Engineering 330
- Cognitive Neuroscience 141
- Molecular Medicine 36
- Biomaterials 69
Countries citing papers authored by Zan Yue
This map shows the geographic impact of Zan Yue'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 Zan Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zan Yue more than expected).
Fields of papers citing papers by Zan Yue
This network shows the impact of papers produced by Zan Yue. 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 Zan Yue. The network helps show where Zan Yue may publish in the future.
Co-authors
The 25 scholars most cited alongside Zan Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2017 | 107 | |
| 3 | 2019 | 64 | |
| 4 | 2018 | 57 | |
| 5 | 2020 | 48 | |
| 6 | 2018 | 40 | |
| 7 | 2021 | 31 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Zan Yue
Zan Yue is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Biomaterials, Rehabilitation and Signal Processing, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), 3D Printing in Biomedical Research (4 papers), Stroke Rehabilitation and Recovery (4 papers), Bone Tissue Engineering Materials (3 papers), Blind Source Separation Techniques (3 papers), Muscle activation and electromyography studies (3 papers), Neuroscience and Neural Engineering (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Rehabilitation (237 citations), Biomedical Engineering (330 citations), Cognitive Neuroscience (141 citations), Molecular Medicine (36 citations) and Biomaterials (69 citations). Zan Yue has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jing Wang, Xue Zhang, Renjun Pei, Tingting Zhang, Min Liu, Tianyu Ni, Yajie Zhang, Hong Chen, Bin Shi and Xiaofeng Chen. Their work appears in journals such as ACS Applied Bio Materials, Frontiers in Neuroscience, Behavioural Neurology, Frontiers in Human Neuroscience and Materials Science and Engineering C.
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.