Xiaoning Zhao
Impact in
- Polymers and Plastics top 1%
- Transition Metal Oxide Nanomaterials
- Conducting polymers and applications
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Photoreceptor and optogenetics research 41
- Neuroscience and Neural Engineering 39
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- Transition Metal Oxide Nanomaterials 29
- Conducting polymers and applications 14
Xiaoning Zhao
199 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Polymers and Plastics 1.2k
- Cellular and Molecular Neuroscience 1.5k
- Biophysics 441
- Electrical and Electronic Engineering 3.4k
- Electronic, Optical and Magnetic Materials 1.0k
Countries citing papers authored by Xiaoning Zhao
This map shows the geographic impact of Xiaoning Zhao'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 Xiaoning Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Zhao more than expected).
Fields of papers citing papers by Xiaoning Zhao
This network shows the impact of papers produced by Xiaoning Zhao. 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 Xiaoning Zhao. The network helps show where Xiaoning Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoning Zhao, 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 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 18 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 41 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 27 | |
| 10 | 2023 | 51 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 26 | |
| 14 | 2023 | 29 | |
| 15 | 2022 | 41 | |
| 16 | 2022 | 11 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 12 | |
| 19 | 2010 | 5 | |
| 20 | 2003 | 15 |
About Xiaoning Zhao
Xiaoning Zhao is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 204 papers that have together received 7.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (97 papers), Photoreceptor and optogenetics research (41 papers), Neuroscience and Neural Engineering (39 papers), Transition Metal Oxide Nanomaterials (29 papers), Ferroelectric and Negative Capacitance Devices (20 papers), Electromagnetic wave absorption materials (17 papers), Advanced Antenna and Metasurface Technologies (16 papers) and Conducting polymers and applications (14 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Cellular and Molecular Neuroscience (1.5k citations), Biophysics (441 citations), Electrical and Electronic Engineering (3.4k citations) and Electronic, Optical and Magnetic Materials (1.0k citations). Xiaoning Zhao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yichun Liu, Zhongqiang Wang, Haiyang Xu, Ya Lin, Jiangang Ma, Yu Fang, Steven R. Kain, Xianqiang Li, Chiao-Chain Huang and Jun‐Jie Zhu. Their work appears in journals such as Applied Physics Letters, IEEE Electron Device Letters, Advanced Functional Materials, Materials Letters and Carbon.
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.