Xiaoxin He
Impact in
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- Cerebrospinal fluid and hydrocephalus
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Advanced Graph Neural Networks 4
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- Cognitive Radio Networks and Spectrum Sensing 4
- Co-authors
- Ruifang Liu (3 shared papers)Nitesh V. Chawla (2 shared papers)Xin Zhou (3 shared papers)Yan Chen (3 shared papers)Juncheng Zhu (1 shared paper)Huaiqing Sun (2 shared papers)Mingfan Liu (1 shared paper)Bryan Hooi (3 shared papers)
- Journals
- Worldviews Global Religions Culture and Ecology (1 paper)Brain Pathology (1 paper)BMC Infectious Diseases (1 paper)Translational Neurodegeneration (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaoxin He
29 papers receiving 229 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 37
- Neurology 12
- Signal Processing 13
- Artificial Intelligence 48
- Developmental Neuroscience 4
Countries citing papers authored by Xiaoxin He
This map shows the geographic impact of Xiaoxin He'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 Xiaoxin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin He more than expected).
Fields of papers citing papers by Xiaoxin He
This network shows the impact of papers produced by Xiaoxin He. 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 Xiaoxin He. The network helps show where Xiaoxin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin He, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 31 | |
| 2 | 2019 | 25 | |
| 3 | 2024 | 20 | |
| 4 | 2025 | 18 | |
| 5 | 2017 | 15 | |
| 6 | 2024 | 15 | |
| 7 | 2017 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2025 | 10 | |
| 11 | 2011 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2000 | 6 | |
| 15 | 2020 | 6 | |
| 16 | Optimal Algorithm for Cognitive Spectrum Decision Making | 2012 | 4 |
| 17 | 2014 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2010 | 2 |
About Xiaoxin He
Xiaoxin He is a scholar working on Artificial Intelligence, Computer Networks and Communications, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Physiology, having authored 30 papers that have together received 239 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers), Alzheimer's disease research and treatments (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Complex Network Analysis Techniques (2 papers), Data Mining Algorithms and Applications (2 papers), Empathy and Medical Education (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (37 citations), Neurology (12 citations), Signal Processing (13 citations), Artificial Intelligence (48 citations) and Developmental Neuroscience (4 citations). Xiaoxin He has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ruifang Liu, Nitesh V. Chawla, Xin Zhou, Yan Chen, Juncheng Zhu, Huaiqing Sun, Mingfan Liu, Bryan Hooi, Yuanyan Hu and Junying Gao. Their work appears in journals such as Worldviews Global Religions Culture and Ecology, Brain Pathology, BMC Infectious Diseases, Translational Neurodegeneration and Journal of Cellular and Molecular Medicine.
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.