Xiaobin Wang
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
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- Neuroscience and Neural Engineering
Papers in
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- Ferroelectric and Negative Capacitance Devices 7
- Advanced Memory and Neural Computing 7
- Magnetic Field Sensors Techniques 3
- Co-authors
- Yiran Chen (5 shared papers)Hai Li (4 shared papers)Haiwen Xi (2 shared papers)Dimitar Dimitrov (1 shared paper)Huan Liu (5 shared papers)Zheng Liu (4 shared papers)Haobin Dong (2 shared papers)Fang Lu (1 shared paper)
- Journals
- Review of Scientific Instruments (2 papers)Optics Express (2 papers)IEEE Magnetics Letters (1 paper)Materials Science and Engineering A (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaobin Wang
24 papers receiving 565 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 434
- Cellular and Molecular Neuroscience 120
- Statistical and Nonlinear Physics 47
- Polymers and Plastics 53
- Cognitive Neuroscience 58
Countries citing papers authored by Xiaobin Wang
This map shows the geographic impact of Xiaobin 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 Xiaobin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Wang more than expected).
Fields of papers citing papers by Xiaobin Wang
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Wang. The network helps show where Xiaobin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 287 | |
| 2 | 2009 | 55 | |
| 3 | 2013 | 42 | |
| 4 | 2019 | 24 | |
| 5 | 2010 | 22 | |
| 6 | 2019 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2002 | 9 | |
| 15 | 2023 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2010 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2025 | 1 |
About Xiaobin Wang
Xiaobin Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Geophysics, Materials Chemistry and Molecular Biology, having authored 25 papers that have together received 589 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (7 papers), Advanced Memory and Neural Computing (7 papers), Magnetic Field Sensors Techniques (3 papers), Geophysical and Geoelectrical Methods (3 papers), Quantum-Dot Cellular Automata (3 papers), Underwater Acoustics Research (2 papers), Geophysical Methods and Applications (2 papers) and Geotechnical Engineering and Underground Structures (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (434 citations), Cellular and Molecular Neuroscience (120 citations), Statistical and Nonlinear Physics (47 citations), Polymers and Plastics (53 citations) and Cognitive Neuroscience (58 citations). Xiaobin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yiran Chen, Hai Li, Haiwen Xi, Dimitar Dimitrov, Huan Liu, Zheng Liu, Haobin Dong, Fang Lu, Changjiang Zhu and Feng Tian. Their work appears in journals such as Review of Scientific Instruments, Optics Express, IEEE Magnetics Letters, Materials Science and Engineering A and IEEE Sensors Journal.
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.