Luyun Wang
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
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- Functional Brain Connectivity Studies 7
- EEG and Brain-Computer Interfaces 5
-
- Viral Infections and Immunology Research 9
- Co-authors
- Dao Wen Wang (18 shared papers)Jinhua Sheng (22 shared papers)Xin Yu (14 shared papers)Xianpeng Wang (1 shared paper)Guoan Bi (1 shared paper)Xiumei Li (1 shared paper)Ling Tu (4 shared papers)Xizhen Xu (4 shared papers)
- Journals
- Scientific Reports (6 papers)Cerebral Cortex (3 papers)Computers in Biology and Medicine (2 papers)Science China Life Sciences (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Luyun Wang
55 papers receiving 894 citations
Peers
Comparison fields: 5 of 124
- Biochemistry 120
- Health Information Management 37
- Neurology 59
- Endocrinology, Diabetes and Metabolism 98
- Infectious Diseases 108
Countries citing papers authored by Luyun Wang
This map shows the geographic impact of Luyun Wang'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 Luyun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyun Wang more than expected).
Fields of papers citing papers by Luyun Wang
This network shows the impact of papers produced by Luyun Wang. 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 Luyun Wang. The network helps show where Luyun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyun Wang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2010 | 97 | |
| 3 | 2019 | 82 | |
| 4 | 2017 | 80 | |
| 5 | 2005 | 57 | |
| 6 | 2022 | 40 | |
| 7 | 2022 | 35 | |
| 8 | 2024 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2010 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2011 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2023 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2023 | 11 |
About Luyun Wang
Luyun Wang is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Biochemistry, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 68 papers that have together received 918 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (9 papers), Functional Brain Connectivity Studies (7 papers), Dementia and Cognitive Impairment Research (5 papers), Gene expression and cancer classification (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), EEG and Brain-Computer Interfaces (5 papers), Bioinformatics and Genomic Networks (5 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Biochemistry (120 citations), Health Information Management (37 citations), Neurology (59 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Infectious Diseases (108 citations). Luyun Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Dao Wen Wang, Jinhua Sheng, Xin Yu, Xianpeng Wang, Guoan Bi, Xiumei Li, Ling Tu, Xizhen Xu, Ning Zhou and Chenze Li. Their work appears in journals such as Scientific Reports, Cerebral Cortex, Computers in Biology and Medicine, Science China Life Sciences and IEEE Access.
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.