Xiaoye Chen
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 10%
Papers in
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- Magnetic properties of thin films 8
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- Advanced Memory and Neural Computing 3
- Ferroelectric and Negative Capacitance Devices 3
- Co-authors
- J. Herbert (2 shared papers)Mark Gales (7 shared papers)Xiaobing Liu (5 shared papers)Philip C. Woodland (5 shared papers)Zhigang Mou (1 shared paper)Xiaomei Wang (1 shared paper)Sui‐Dong Wang (1 shared paper)Ping Yang (1 shared paper)
- Journals
- Neuroscience (2 papers)Physical Review Applied (2 papers)Physical review. B. (2 papers)Scientific Reports (1 paper)Protein & Cell (1 paper)
- Partner nations
- United KingdomSingaporeChina
In The Last Decade
Xiaoye Chen
36 papers receiving 827 citations
Peers
Comparison fields: 5 of 106
- Behavioral Neuroscience 216
- Endocrine and Autonomic Systems 80
- Biological Psychiatry 26
- Social Psychology 164
- Electronic, Optical and Magnetic Materials 139
Countries citing papers authored by Xiaoye Chen
This map shows the geographic impact of Xiaoye Chen'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 Xiaoye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoye Chen more than expected).
Fields of papers citing papers by Xiaoye Chen
This network shows the impact of papers produced by Xiaoye Chen. 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 Xiaoye Chen. The network helps show where Xiaoye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoye Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 282 | |
| 2 | 2011 | 138 | |
| 3 | 2016 | 58 | |
| 4 | 2024 | 48 | |
| 5 | 2015 | 43 | |
| 6 | 2002 | 29 | |
| 7 | 2016 | 27 | |
| 8 | 1995 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2014 | 19 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2013 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2002 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2023 | 7 |
About Xiaoye Chen
Xiaoye Chen is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 38 papers that have together received 861 indexed citations. Recurring topics across this work include Magnetic properties of thin films (8 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (7 papers), Topic Modeling (5 papers), Physics of Superconductivity and Magnetism (4 papers), Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Network Traffic and Congestion Control (2 papers). The work is most often cited by research in Behavioral Neuroscience (216 citations), Endocrine and Autonomic Systems (80 citations), Biological Psychiatry (26 citations), Social Psychology (164 citations) and Electronic, Optical and Magnetic Materials (139 citations). Xiaoye Chen has collaborated with scholars based in United Kingdom, Singapore and China. Frequent co-authors include J. Herbert, Mark Gales, Xiaobing Liu, Philip C. Woodland, Zhigang Mou, Xiaomei Wang, Sui‐Dong Wang, Ping Yang, Yukou Du and Yanmin Qian. Their work appears in journals such as Neuroscience, Physical Review Applied, Physical review. B., Scientific Reports and Protein & Cell.
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.