Xiaoxiao Wang

1.1k citations
52 papers · 691 indexed · h-index 14
Topics
Functional Brain Connectivity Studies (16 papers)Neural dynamics and brain function (10 papers)Visual perception and processing mechanisms (9 papers)
Partner nations
ChinaUnited StatesRwanda

In The Last Decade

Xiaoxiao Wang

50 papers receiving 679 citations

Peers

Xiaoxiao Wang
Comparison fields: 5 of 98
  • Cognitive Neuroscience 302
  • Computer Vision and Pattern Recognition 206
  • Radiology, Nuclear Medicine and Imaging 120
  • Neurology 90
  • Cellular and Molecular Neuroscience 60
Replace Keerthi Ram with:
Keerthi Ram India
Matteo Fraschini Italy
Óscar Yáñez-Suárez Mexico
Yu‐Tai Tsai Taiwan
Nguyen Thanh Duc South Korea
Yunseo Ku South Korea
Xiaoqing Zhou China
Kun‐Han Lu United States
Kamlesh Jha India
Hao Han United States
Xiaoxiao Wang relative to Keerthi Ram India Keerthi Ram's profile →
Citations per field
00.5×1.5×2.1×
Keerthi Ram · 1×
Citations per year

Countries citing papers authored by Xiaoxiao Wang

Since Specialization
Citations

This map shows the geographic impact of Xiaoxiao Wang'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 Xiaoxiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiao Wang more than expected).

Fields of papers citing papers by Xiaoxiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoxiao Wang. 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 Xiaoxiao Wang. The network helps show where Xiaoxiao Wang may publish in the future.

Co-authorship network of co-authors of Xiaoxiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxiao Wang. A scholar is included among the top collaborators of Xiaoxiao Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoxiao Wang. Xiaoxiao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Task state decoding and mapping of individual four-dimensional fMRI time series using deep neural network
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19 25
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About Xiaoxiao Wang

Xiaoxiao Wang is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 691 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (10 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (302 citations), Neurology (90 citations) and Computer Vision and Pattern Recognition (206 citations). Xiaoxiao Wang has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Bensheng Qiu, Yan Ma, Yanming Wang, Tian Xia, Jin Tang, Zhengzheng Tu, Chenglong Li, Benedictor Alexander Nguchu, Yuying Zhu and Yu Li. Their work appears in journals such as NeuroImage, The Journal of Physiology and Water Research.

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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