Shuna Yang
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Advanced Photonic Communication Systems 41
- Optical Network Technologies 34
- Photonic and Optical Devices 17
-
- Advanced Fiber Laser Technologies 17
- Co-authors
- Wei Qin (27 shared papers)Lei Yang (24 shared papers)Junliang Yuan (17 shared papers)Wenli Hu (23 shared papers)Hao Chi (42 shared papers)Xiaoke Ku (5 shared papers)Bo Yang (31 shared papers)Huimin Fan (8 shared papers)
- Journals
- Optics Communications (11 papers)Optics Express (7 papers)Frontiers in Aging Neuroscience (5 papers)Clinical Interventions in Aging (4 papers)Optics Letters (4 papers)
- Partner nations
- ChinaNorwayNetherlands
In The Last Decade
Shuna Yang
89 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Neurology 122
- Neurology 212
- Acoustics and Ultrasonics 7
- Microbiology 42
- Cellular and Molecular Neuroscience 117
Countries citing papers authored by Shuna Yang
This map shows the geographic impact of Shuna Yang'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 Shuna Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuna Yang more than expected).
Fields of papers citing papers by Shuna Yang
This network shows the impact of papers produced by Shuna Yang. 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 Shuna Yang. The network helps show where Shuna Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuna Yang, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2013 | 75 | |
| 3 | 2017 | 66 | |
| 4 | 2020 | 60 | |
| 5 | 2019 | 56 | |
| 6 | 2017 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2021 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 25 | |
| 15 | 2014 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2017 | 18 | |
| 20 | 2016 | 16 |
About Shuna Yang
Shuna Yang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Neurology, Epidemiology and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (41 papers), Optical Network Technologies (34 papers), Advanced Fiber Laser Technologies (17 papers), Photonic and Optical Devices (17 papers), Acute Ischemic Stroke Management (14 papers), Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Cerebrospinal fluid and hydrocephalus (12 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). The work is most often cited by research in Neurology (122 citations), Neurology (212 citations), Acoustics and Ultrasonics (7 citations), Microbiology (42 citations) and Cellular and Molecular Neuroscience (117 citations). Shuna Yang has collaborated with scholars based in China, Norway and Netherlands. Frequent co-authors include Wei Qin, Lei Yang, Junliang Yuan, Wenli Hu, Hao Chi, Xiaoke Ku, Bo Yang, Huimin Fan, Yue Li and Jun Ou. Their work appears in journals such as Optics Communications, Optics Express, Frontiers in Aging Neuroscience, Clinical Interventions in Aging and Optics Letters.
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.