Wang Bi
Impact in
- Biomaterials top 10%
- Magnesium Alloys: Properties and Applications
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Advanced Memory and Neural Computing 13
- Semiconductor materials and devices 7
- Integrated Circuits and Semiconductor Failure Analysis 5
- Co-authors
- Fuzeng Ren (6 shared papers)Bi Shi (1 shared paper)Xuepin Liao (1 shared paper)Yun Ding (1 shared paper)Weiwei Zhu (3 shared papers)Liming Fang (3 shared papers)Haisan Zhang (8 shared papers)Kun Li (8 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (4 papers)Frontiers in Psychiatry (2 papers)IEEE Electron Device Letters (2 papers)Organic Letters (2 papers)Journal of Affective Disorders (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wang Bi
60 papers receiving 694 citations
Peers
Comparison fields: 5 of 107
- Biomaterials 102
- Cognitive Neuroscience 128
- Industrial and Manufacturing Engineering 52
- Biological Psychiatry 12
- Nuclear Energy and Engineering 2
Countries citing papers authored by Wang Bi
This map shows the geographic impact of Wang Bi'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 Wang Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Bi more than expected).
Fields of papers citing papers by Wang Bi
This network shows the impact of papers produced by Wang Bi. 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 Wang Bi. The network helps show where Wang Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Bi, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 72 | |
| 2 | 2020 | 51 | |
| 3 | 2019 | 37 | |
| 4 | 2017 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2014 | 32 | |
| 10 | 2014 | 29 | |
| 11 | 2007 | 25 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2019 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2020 | 11 |
About Wang Bi
Wang Bi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomaterials, Cognitive Neuroscience and Biomedical Engineering, having authored 73 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Semiconductor materials and devices (7 papers), Functional Brain Connectivity Studies (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Bone Tissue Engineering Materials (5 papers), Magnetic properties of thin films (5 papers), Orthopaedic implants and arthroplasty (5 papers) and Magnesium Alloys: Properties and Applications (4 papers). The work is most often cited by research in Biomaterials (102 citations), Cognitive Neuroscience (128 citations), Industrial and Manufacturing Engineering (52 citations), Biological Psychiatry (12 citations) and Nuclear Energy and Engineering (2 citations). Wang Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fuzeng Ren, Bi Shi, Xuepin Liao, Yun Ding, Weiwei Zhu, Liming Fang, Haisan Zhang, Kun Li, Hongxing Zhang and Meng Zhang. Their work appears in journals such as IEEE Transactions on Nuclear Science, Frontiers in Psychiatry, IEEE Electron Device Letters, Organic Letters and Journal of Affective Disorders.
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.