Yue Bai
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- Spectroscopy and Quantum Chemical Studies 5
- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum optics and atomic interactions 5
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- Advanced Memory and Neural Computing 13
- Ferroelectric and Negative Capacitance Devices 11
- Gas Sensing Nanomaterials and Sensors 5
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- ZnO doping and properties 5
- Copper-based nanomaterials and applications 4
- Co-authors
- T. W. MossbergHuaqiang WuHe QianM. D. FayerZhiping YuA. ElschnerL. R. NarasimhanA. G. Yodh
- Cited by
- Atomic and Molecular Physics, and OpticsPhysical and Theoretical ChemistryAcoustics and Ultrasonics
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yue Bai
30 papers receiving 942 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Atomic and Molecular Physics, and Optics 493
- Physical and Theoretical Chemistry 103
- Acoustics and Ultrasonics 9
- Electrical and Electronic Engineering 486
- Polymers and Plastics 95
Countries citing papers authored by Yue Bai
This map shows the geographic impact of Yue Bai'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 Yue Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Bai more than expected).
Fields of papers citing papers by Yue Bai
This network shows the impact of papers produced by Yue Bai. 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 Yue Bai. The network helps show where Yue Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yue Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 3 | |
| 7 | Spintronics for Energy- Efficient Computing: An Overview and Outlookbreakdown → | 2021 | 181 |
| 8 | 2015 | 39 | |
| 9 | 2015 | 6 | |
| 10 | 2014 | 106 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 5 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 51 | |
| 16 | 2013 | 2 | |
| 17 | 2012 | 1 | |
| 18 | 1990 | 194 | |
| 19 | 1986 | 17 | |
| 20 | 1985 | 78 |
About Yue Bai
Yue Bai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Reproductive Medicine, having authored 33 papers that have together received 973 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Gas Sensing Nanomaterials and Sensors (5 papers), ZnO doping and properties (5 papers), Quantum optics and atomic interactions (5 papers) and Copper-based nanomaterials and applications (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (493 citations), Physical and Theoretical Chemistry (103 citations) and Acoustics and Ultrasonics (9 citations). Yue Bai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include T. W. Mossberg, Huaqiang Wu, He Qian, M. D. Fayer, Zhiping Yu, A. Elschner, L. R. Narasimhan, A. G. Yodh, Dee William Pack and Karl A. Littau. Their work appears in journals such as Chemical Reviews, Physical Review Letters and Nano 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.