Xiaoke Hao
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Functional Brain Connectivity Studies 18
- EEG and Brain-Computer Interfaces 4
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- Brain Tumor Detection and Classification 6
- Co-authors
- Daoqiang Zhang (29 shared papers)Ming Yu (8 shared papers)Yingchun Guo (12 shared papers)Li Shen (7 shared papers)Xiaohui Yao (5 shared papers)Shannon L. Risacher (5 shared papers)Andrew J. Saykin (5 shared papers)Meiling Wang (9 shared papers)
- Journals
- Journal of Alzheimer s Disease (4 papers)Neurocomputing (3 papers)Bioinformatics (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoke Hao
44 papers receiving 984 citations
Peers
Comparison fields: 5 of 98
- Neurology 171
- Cognitive Neuroscience 241
- Psychiatry and Mental health 137
- Computer Vision and Pattern Recognition 179
- Computational Mathematics 5
Countries citing papers authored by Xiaoke Hao
This map shows the geographic impact of Xiaoke Hao'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 Xiaoke Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoke Hao more than expected).
Fields of papers citing papers by Xiaoke Hao
This network shows the impact of papers produced by Xiaoke Hao. 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 Xiaoke Hao. The network helps show where Xiaoke Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoke Hao, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 160 | |
| 2 | 2021 | 98 | |
| 3 | 2017 | 49 | |
| 4 | 2017 | 46 | |
| 5 | 2020 | 46 | |
| 6 | 2015 | 44 | |
| 7 | 2016 | 40 | |
| 8 | 2018 | 37 | |
| 9 | 2019 | 36 | |
| 10 | 2014 | 34 | |
| 11 | 2023 | 32 | |
| 12 | 2016 | 29 | |
| 13 | 2015 | 27 | |
| 14 | 2018 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2023 | 21 | |
| 18 | 2025 | 20 | |
| 19 | 2021 | 18 | |
| 20 | 2016 | 18 |
About Xiaoke Hao
Xiaoke Hao is a scholar working on Cognitive Neuroscience, Neurology, Computer Vision and Pattern Recognition, Psychiatry and Mental health and Molecular Biology, having authored 49 papers that have together received 999 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (8 papers), Dementia and Cognitive Impairment Research (7 papers), Genetic Associations and Epidemiology (7 papers), Brain Tumor Detection and Classification (6 papers), Alzheimer's disease research and treatments (6 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Neurology (171 citations), Cognitive Neuroscience (241 citations), Psychiatry and Mental health (137 citations), Computer Vision and Pattern Recognition (179 citations) and Computational Mathematics (5 citations). Xiaoke Hao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daoqiang Zhang, Ming Yu, Yingchun Guo, Li Shen, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Meiling Wang, Wei Shao and Jin‐Tai Yu. Their work appears in journals such as Journal of Alzheimer s Disease, Neurocomputing, Bioinformatics, IEEE Journal of Biomedical and Health Informatics and Frontiers in Neuroscience.
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.