Le Yan
Impact in
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- Acoustic Wave Resonator Technologies
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- Cellular Mechanics and Interactions
Papers in
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- Acoustic Wave Resonator Technologies 8
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- Material Dynamics and Properties 7
- Co-authors
- Matthieu Wyart (10 shared papers)Carolina Brito (3 shared papers)Dapeng Bi (2 shared papers)Riccardo Ravasio (3 shared papers)William C. Tang (10 shared papers)Michael Bendersky (7 shared papers)Xuanhui Wang (7 shared papers)Zhen Qin (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Applied Physics Letters (2 papers)Biophysical Journal (2 papers)Physical Review Letters (2 papers)iScience (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Le Yan
36 papers receiving 585 citations
Peers
Comparison fields: 5 of 105
- Biomedical Engineering 165
- Cell Biology 54
- Information Systems 75
- Atomic and Molecular Physics, and Optics 104
- Condensed Matter Physics 38
Countries citing papers authored by Le Yan
This map shows the geographic impact of Le Yan'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 Le Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Yan more than expected).
Fields of papers citing papers by Le Yan
This network shows the impact of papers produced by Le Yan. 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 Le Yan. The network helps show where Le Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Yan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 78 | |
| 2 | 2024 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2006 | 49 | |
| 5 | 2023 | 32 | |
| 6 | 2013 | 32 | |
| 7 | 2021 | 29 | |
| 8 | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees | 2021 | 28 |
| 9 | 2019 | 28 | |
| 10 | 2005 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2010 | 19 | |
| 14 | 2016 | 15 | |
| 15 | 2005 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2016 | 8 |
About Le Yan
Le Yan is a scholar working on Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Information Systems, having authored 38 papers that have together received 597 indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (8 papers), Advanced MEMS and NEMS Technologies (8 papers), Mechanical and Optical Resonators (8 papers), Material Dynamics and Properties (7 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Theoretical and Computational Physics (3 papers), Recommender Systems and Techniques (3 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Biomedical Engineering (165 citations), Cell Biology (54 citations), Information Systems (75 citations), Atomic and Molecular Physics, and Optics (104 citations) and Condensed Matter Physics (38 citations). Le Yan has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Matthieu Wyart, Carolina Brito, Dapeng Bi, Riccardo Ravasio, William C. Tang, Michael Bendersky, Xuanhui Wang, Zhen Qin, Gustavo Düring and Honglei Zhuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters, Biophysical Journal, Physical Review Letters and iScience.
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.