Xiaoke Hao

1.3k citations
47 papers · 888 · h-index 17

Impact in

Papers in

    • Functional Brain Connectivity Studies 17
    • EEG and Brain-Computer Interfaces 4
    • Bioinformatics and Genomic Networks 9
    • Gene expression and cancer classification 8

Xiaoke Hao

43 papers receiving 878 citations

Peers

Xiaoke Hao
Comparison fields: 5 of 95
  • Neurology 168
  • Cognitive Neuroscience 210
  • Psychiatry and Mental health 124
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 165
Replace Alexandre Savio with:
Alexandre Savio Spain
Chris Hinrichs United States
Maite García‐Sebastián Spain
Danni Cheng China
Lilia Mesrob France
Alberto Redolfi Italy
Katherine R. Gray United Kingdom
Annahita Oswald Germany
Diego Castillo-Barnés Spain
Xiaoying Tang China
Xiaoke Hao relative to Alexandre Savio Spain Alexandre Savio's profile →
Citations per field
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Alexandre Savio · 1×
Citations per year

Countries citing papers authored by Xiaoke Hao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoke Hao Line = papers co-authored together Xiaoke Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 202189
3 201748
4 202045
5 201542
6 201836
7 201636
8 201935
9 201433
10 201629
11 202328
12 201526
13 201825
14 202222
15 202221
16 201617
17 202316
18 201916
19 202316
20 202116

About Xiaoke Hao

Xiaoke Hao is a scholar working on Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition, Neurology and Physiology, having authored 47 papers that have together received 888 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (17 papers), Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (8 papers), Alzheimer's disease research and treatments (6 papers), Brain Tumor Detection and Classification (6 papers), Dementia and Cognitive Impairment Research (6 papers), Genetic Associations and Epidemiology (6 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Neurology (168 citations), Cognitive Neuroscience (210 citations), Psychiatry and Mental health (124 citations), Computational Mathematics (5 citations) and Computer Vision and Pattern Recognition (165 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, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Meiling Wang, Jin‐Tai Yu and Wei Shao. Their work appears in journals such as Journal of Alzheimer s Disease, Bioinformatics, Neurocomputing, Frontiers in Neuroscience and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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.

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