Xiaobing Yan
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 16
- Ferroelectric and Negative Capacitance Devices 14
- Semiconductor materials and devices 6
- Chalcogenide Semiconductor Thin Films 2
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- Ferroelectric and Piezoelectric Materials 2
- Co-authors
- Jingsheng Chen (4 shared papers)Ping Yang (2 shared papers)Zhen Zhao (2 shared papers)Xiaotong Jia (3 shared papers)Zhen Fan (2 shared papers)Shu Shi (2 shared papers)Ziyan Liu (1 shared paper)Jingxian Wang (1 shared paper)
- Journals
- Nature Communications (4 papers)Materials Today Nano (3 papers)InfoMat (2 papers)Science Advances (2 papers)Nature Electronics (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaobing Yan
25 papers receiving 345 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 306
- Cellular and Molecular Neuroscience 87
- Polymers and Plastics 41
- Materials Chemistry 115
- Cognitive Neuroscience 18
Countries citing papers authored by Xiaobing Yan
This map shows the geographic impact of Xiaobing 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 Xiaobing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Yan more than expected).
Fields of papers citing papers by Xiaobing Yan
This network shows the impact of papers produced by Xiaobing 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 Xiaobing Yan. The network helps show where Xiaobing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 53 | |
| 2 | 2016 | 50 | |
| 3 | 2023 | 35 | |
| 4 | 2023 | 33 | |
| 5 | 2024 | 29 | |
| 6 | 2025 | 25 | |
| 7 | 2022 | 19 | |
| 8 | 2025 | 18 | |
| 9 | 2024 | 12 | |
| 10 | 2025 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2025 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 2 |
About Xiaobing Yan
Xiaobing Yan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Semiconductor materials and devices (6 papers), Neural dynamics and brain function (4 papers), earthquake and tectonic studies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Ferroelectric and Piezoelectric Materials (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (306 citations), Cellular and Molecular Neuroscience (87 citations), Polymers and Plastics (41 citations), Materials Chemistry (115 citations) and Cognitive Neuroscience (18 citations). Xiaobing Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jingsheng Chen, Ping Yang, Zhen Zhao, Xiaotong Jia, Zhen Fan, Shu Shi, Ziyan Liu, Jingxian Wang, Yong Sun and Jinyu Deng. Their work appears in journals such as Nature Communications, Materials Today Nano, InfoMat, Science Advances and Nature Electronics.
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.