Xiaoyan Liu
Impact in
- Pollution top 2%
- Microplastics and Plastic Pollution
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials
- Conducting polymers and applications
Papers in
- Neurology 19
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- Neuroscience and Neuropharmacology Research 9
- Neuroscience and Neural Engineering 9
- Co-authors
- Jinfeng Kang (19 shared papers)Xingyu Jiang (19 shared papers)Lifeng Liu (7 shared papers)Ruqi Han (10 shared papers)Bin Yu (4 shared papers)Bin Gao (7 shared papers)Jianyong Yu (6 shared papers)Bin Ding (6 shared papers)
- Journals
- Frontiers in Neurology (4 papers)PLoS ONE (4 papers)Applied Physics Letters (4 papers)Environmental Science and Pollution Research (4 papers)Nano Letters (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoyan Liu
263 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 176
- Pollution 584
- Polymers and Plastics 591
- Biomaterials 499
- Cellular and Molecular Neuroscience 644
- Waste Management and Disposal 255
Countries citing papers authored by Xiaoyan Liu
This map shows the geographic impact of Xiaoyan Liu'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 Xiaoyan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Liu more than expected).
Fields of papers citing papers by Xiaoyan Liu
This network shows the impact of papers produced by Xiaoyan Liu. 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 Xiaoyan Liu. The network helps show where Xiaoyan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Liu, 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 290 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 341 | |
| 2 | 2021 | 197 | |
| 3 | 2011 | 187 | |
| 4 | 2019 | 175 | |
| 5 | 2010 | 159 | |
| 6 | 2022 | 147 | |
| 7 | 2022 | 144 | |
| 8 | 2020 | 138 | |
| 9 | 2009 | 128 | |
| 10 | 2023 | 119 | |
| 11 | 2021 | 117 | |
| 12 | 2021 | 106 | |
| 13 | 2012 | 99 | |
| 14 | 2020 | 98 | |
| 15 | 2020 | 93 | |
| 16 | 2021 | 92 | |
| 17 | 2012 | 88 | |
| 18 | 2016 | 78 | |
| 19 | 2021 | 67 | |
| 20 | 2019 | 67 |
About Xiaoyan Liu
Xiaoyan Liu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering and Ecology, having authored 290 papers that have together received 6.1k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (14 papers), Advanced Memory and Neural Computing (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Microbial Community Ecology and Physiology (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuroscience and Neural Engineering (9 papers), Nanoplatforms for cancer theranostics (8 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). The work is most often cited by research in Pollution (584 citations), Polymers and Plastics (591 citations), Biomaterials (499 citations), Cellular and Molecular Neuroscience (644 citations) and Waste Management and Disposal (255 citations). Xiaoyan Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinfeng Kang, Xingyu Jiang, Lifeng Liu, Ruqi Han, Bin Yu, Bin Gao, Jianyong Yu, Bin Ding, Wenfu Zheng and Dedong Han. Their work appears in journals such as Frontiers in Neurology, PLoS ONE, Applied Physics Letters, Environmental Science and Pollution Research 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.