Ye Xi
Impact in
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- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 19
- Photoreceptor and optogenetics research 6
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- Advanced Memory and Neural Computing 8
- Co-authors
- Ligong Chen (3 shared papers)Xilong Yan (3 shared papers)Yuqi Cao (3 shared papers)Jingquan Liu (19 shared papers)Qingda Xu (12 shared papers)Xiongliang Yao (5 shared papers)Bin Yang (16 shared papers)Jun Xu (2 shared papers)
- Journals
- ACS Nano (2 papers)Microsystems & Nanoengineering (2 papers)Dyes and Pigments (1 paper)Materials Letters (1 paper)New Journal of Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ye Xi
37 papers receiving 286 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 58
- Electrochemistry 17
- Polymers and Plastics 37
- Bioengineering 14
- Materials Chemistry 111
Countries citing papers authored by Ye Xi
This map shows the geographic impact of Ye Xi'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 Ye Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Xi more than expected).
Fields of papers citing papers by Ye Xi
This network shows the impact of papers produced by Ye Xi. 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 Ye Xi. The network helps show where Ye Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Xi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 33 | |
| 2 | 2016 | 33 | |
| 3 | 2017 | 23 | |
| 4 | 2020 | 23 | |
| 5 | 2017 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2015 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2013 | 8 | |
| 13 | 2009 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2018 | 5 | |
| 19 | MICROSTRUCTURE EVOLUTION OF PARTIALLY MELTED ZONE OF TIG WELDING JOINT OF Ni-BASED INCONEL-718 SUPERALLOY | 2014 | 4 |
| 20 | 2013 | 4 |
About Ye Xi
Ye Xi is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Materials Chemistry, Cognitive Neuroscience and Biomedical Engineering, having authored 40 papers that have together received 290 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (19 papers), EEG and Brain-Computer Interfaces (9 papers), Advanced Memory and Neural Computing (8 papers), Photoreceptor and optogenetics research (6 papers), Ultrasound and Cavitation Phenomena (5 papers), Molecular Sensors and Ion Detection (3 papers), Underwater Acoustics Research (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (58 citations), Electrochemistry (17 citations), Polymers and Plastics (37 citations), Bioengineering (14 citations) and Materials Chemistry (111 citations). Ye Xi has collaborated with scholars based in China and United States. Frequent co-authors include Ligong Chen, Xilong Yan, Yuqi Cao, Jingquan Liu, Qingda Xu, Xiongliang Yao, Bin Yang, Jun Xu, Longchun Wang and Yang Li. Their work appears in journals such as ACS Nano, Microsystems & Nanoengineering, Dyes and Pigments, Materials Letters and New Journal of Chemistry.
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.