Le Yang
Impact in
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- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 9
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- Advanced Memory and Neural Computing 22
- CCD and CMOS Imaging Sensors 7
- Ferroelectric and Negative Capacitance Devices 4
- Co-authors
- Zhigang Zeng (13 shared papers)Shiping Wen (2 shared papers)Yi Huang (4 shared papers)Zhixia Ding (18 shared papers)Sai Li (14 shared papers)Guan Wang (3 shared papers)Ruiting Li (1 shared paper)Xue Zhang (1 shared paper)
In The Last Decade
Le Yang
30 papers receiving 291 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 91
- Cellular and Molecular Neuroscience 69
- Electrical and Electronic Engineering 219
- Statistical and Nonlinear Physics 38
- Artificial Intelligence 91
Countries citing papers authored by Le Yang
This map shows the geographic impact of Le Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Yang more than expected).
Fields of papers citing papers by Le Yang
This network shows the impact of papers produced by Le Yang. 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 Yang. The network helps show where Le Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 53 | |
| 2 | 2019 | 34 | |
| 3 | 2018 | 29 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 24 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Le Yang
Le Yang is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 32 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (9 papers), CCD and CMOS Imaging Sensors (7 papers), Neural Networks Stability and Synchronization (6 papers), stochastic dynamics and bifurcation (6 papers), Neural Networks and Applications (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Cognitive Neuroscience (91 citations), Cellular and Molecular Neuroscience (69 citations), Electrical and Electronic Engineering (219 citations), Statistical and Nonlinear Physics (38 citations) and Artificial Intelligence (91 citations). Le Yang has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Zhigang Zeng, Shiping Wen, Yi Huang, Zhixia Ding, Sai Li, Guan Wang, Ruiting Li, Xue Zhang, Yanyan Ye and Yue Zhao. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, International Journal of Circuit Theory and Applications, Neural Networks, Neurocomputing and IEEE Transactions on Cognitive and Developmental Systems.
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.