Bei Wang
Impact in
- Linguistics and Language top 10%
- Linguistic Variation and Morphology
-
- Phonetics and Phonology Research
Papers in
-
- Multiple Sclerosis Research Studies 3
- Tea Polyphenols and Effects 3
- Lymphoma Diagnosis and Treatment 2
- Co-authors
- Yi Xu (2 shared papers)Szu‐Wei Chen (1 shared paper)Qianhua Zhao (3 shared papers)Zhen Hong (3 shared papers)Qihao Guo (3 shared papers)Bin Zhou (1 shared paper)Ling Wang (1 shared paper)Huarong Tong (2 shared papers)
- Journals
- Food Research International (2 papers)Multiple Sclerosis and Related Disorders (2 papers)Medicine (1 paper)European Journal of Neurology (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bei Wang
26 papers receiving 305 citations
Peers
Comparison fields: 5 of 85
- Linguistics and Language 41
- Experimental and Cognitive Psychology 88
- Psychiatry and Mental health 55
- Language and Linguistics 43
- Pathology and Forensic Medicine 48
Countries citing papers authored by Bei Wang
This map shows the geographic impact of Bei 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 Bei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wang more than expected).
Fields of papers citing papers by Bei Wang
This network shows the impact of papers produced by Bei 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 Bei Wang. The network helps show where Bei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 62 | |
| 2 | 2012 | 57 | |
| 3 | 2012 | 29 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 20 | |
| 6 | 2011 | 17 | |
| 7 | 2012 | 16 | |
| 8 | 2010 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 1997 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2003 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2014 | 2 |
About Bei Wang
Bei Wang is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence, Psychiatry and Mental health, Experimental and Cognitive Psychology and Infectious Diseases, having authored 27 papers that have together received 317 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (3 papers), Multiple Sclerosis Research Studies (3 papers), Tea Polyphenols and Effects (3 papers), Phonetics and Phonology Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Viral Infections and Immunology Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Linguistics and Language (41 citations), Experimental and Cognitive Psychology (88 citations), Psychiatry and Mental health (55 citations), Language and Linguistics (43 citations) and Pathology and Forensic Medicine (48 citations). Bei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yi Xu, Szu‐Wei Chen, Qianhua Zhao, Zhen Hong, Qihao Guo, Bin Zhou, Ling Wang, Huarong Tong, Yulong Ye and Xin Zhao. Their work appears in journals such as Food Research International, Multiple Sclerosis and Related Disorders, Medicine, European Journal of Neurology and Frontiers in 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.