Wang Bi
Impact in
- Biomaterials top 10%
- Magnesium Alloys: Properties and Applications
-
- Phosphorus and nutrient management
Papers in
-
- Advanced Memory and Neural Computing 11
- Semiconductor materials and devices 6
- Integrated Circuits and Semiconductor Failure Analysis 5
- Co-authors
- Fuzeng Ren (6 shared papers)Weiwei Zhu (3 shared papers)Yun Ding (1 shared paper)Xuepin Liao (1 shared paper)Bi Shi (1 shared paper)Liming Fang (3 shared papers)Haisan Zhang (8 shared papers)Kun Li (8 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (3 papers)Frontiers in Psychiatry (2 papers)Epileptic Disorders (2 papers)Journal of Affective Disorders (2 papers)IEEE Electron Device Letters (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wang Bi
64 papers receiving 698 citations
Peers
Comparison fields: 5 of 101
- Biomaterials 109
- Industrial and Manufacturing Engineering 54
- Cognitive Neuroscience 95
- Nuclear Energy and Engineering 2
- Water Science and Technology 58
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 75 | |
| 2 | 2020 | 55 | |
| 3 | 2017 | 41 | |
| 4 | 2019 | 40 | |
| 5 | 2019 | 36 | |
| 6 | 2014 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2014 | 31 | |
| 11 | 2007 | 28 | |
| 12 | 2021 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2017 | 19 | |
| 15 | 2019 | 16 | |
| 16 | 2015 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2022 | 9 |
About Wang Bi
Wang Bi is a scholar working on Electrical and Electronic Engineering, Biomaterials, Materials Chemistry, Biomedical Engineering and Molecular Biology, having authored 70 papers that have together received 707 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Semiconductor materials and devices (6 papers), Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (5 papers), Functional Brain Connectivity Studies (5 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Advanced Photocatalysis Techniques (4 papers) and TiO2 Photocatalysis and Solar Cells (4 papers). The work is most often cited by research in Biomaterials (109 citations), Industrial and Manufacturing Engineering (54 citations), Cognitive Neuroscience (95 citations), Nuclear Energy and Engineering (2 citations) and Water Science and Technology (58 citations). Wang Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fuzeng Ren, Weiwei Zhu, Yun Ding, Xuepin Liao, Bi Shi, Liming Fang, Haisan Zhang, Kun Li, Xianrui Li and Meng Zhang. Their work appears in journals such as IEEE Transactions on Nuclear Science, Frontiers in Psychiatry, Epileptic Disorders, Journal of Affective Disorders and IEEE Electron Device 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.