Min Wei
Impact in
- Neurology top 10%
- Vestibular and auditory disorders
- Biomaterials top 10%
Papers in
-
- Biofuel production and bioconversion 8
- Catalysis for Biomass Conversion 6
- Bone Tissue Engineering Materials 4
- Graphene and Nanomaterials Applications 4
- Co-authors
- Dora E. Angelaki (9 shared papers)Yuchen Ma (6 shared papers)Fan Jin (5 shared papers)Song Li (2 shared papers)Weidong Le (1 shared paper)Yujie Zhang (1 shared paper)Qing Huang (1 shared paper)Wenbing Hu (1 shared paper)
- Journals
- Journal of Neurophysiology (7 papers)Journal of Neuroscience (3 papers)The Journal of Chemical Physics (2 papers)Applied Sciences (2 papers)Physical Chemistry Chemical Physics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Wei
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Neurology 106
- Biomaterials 156
- Biomedical Engineering 436
- Pollution 106
- Industrial and Manufacturing Engineering 57
Countries citing papers authored by Min Wei
This map shows the geographic impact of Min Wei'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 Min Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wei more than expected).
Fields of papers citing papers by Min Wei
This network shows the impact of papers produced by Min Wei. 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 Min Wei. The network helps show where Min Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Wei, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 153 | |
| 2 | 2016 | 111 | |
| 3 | 2020 | 102 | |
| 4 | 2017 | 99 | |
| 5 | 2020 | 40 | |
| 6 | 2020 | 37 | |
| 7 | 2003 | 37 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2018 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2005 | 19 | |
| 17 | 2003 | 19 | |
| 18 | 2020 | 17 | |
| 19 | 2014 | 17 | |
| 20 | 2009 | 17 |
About Min Wei
Min Wei is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Neurology, Materials Chemistry and Cognitive Neuroscience, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (12 papers), Visual perception and processing mechanisms (8 papers), Biofuel production and bioconversion (8 papers), Catalysis for Biomass Conversion (6 papers), Ophthalmology and Eye Disorders (5 papers), Bone Tissue Engineering Materials (4 papers), Ocular Surface and Contact Lens (4 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Neurology (106 citations), Biomaterials (156 citations), Biomedical Engineering (436 citations), Pollution (106 citations) and Industrial and Manufacturing Engineering (57 citations). Min Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dora E. Angelaki, Yuchen Ma, Fan Jin, Song Li, Weidong Le, Yujie Zhang, Qing Huang, Wenbing Hu, Le Liang and Min Lv. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, The Journal of Chemical Physics, Applied Sciences and Physical Chemistry Chemical Physics.
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.