Weiping Xiao

523 total citations · 1 hit paper
27 papers, 351 citations indexed

About

Weiping Xiao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Weiping Xiao has authored 27 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Neurology. Recurrent topics in Weiping Xiao's work include Advanced Neural Network Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Weiping Xiao is often cited by papers focused on Advanced Neural Network Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Weiping Xiao collaborates with scholars based in China and Canada. Weiping Xiao's co-authors include Yuxiang Gu, Wei Ni, Xinjie Gao, Heng Yang, Jiabin Su, Jiabin Su, Jiantao Gao, Chang Liu, Yan Peng and Heng Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Weiping Xiao

26 papers receiving 346 citations

Hit Papers

The microbiota-gut-brain axis participates in chronic cer... 2022 2026 2023 2024 2022 50 100 150

Peers

Weiping Xiao
Comparison fields: 5 of 87
  • Molecular Biology 144
  • Physiology 77
  • Biological Psychiatry 53
  • Neurology 52
  • Neurology 44
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Citations per field, relative to Weiping Xiao
Weiping Xiao · 1×
Citations per year, relative to Weiping Xiao
Weiping Xiao · 1×

Countries citing papers authored by Weiping Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Xiao. A scholar is included among the top collaborators of Weiping Xiao 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 Weiping Xiao. Weiping Xiao 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
# Work Indexed citations
1 3
2 0
3 3
4 3
5 2
6 4
7 6
8 6
9 23
10 10
11 25
12
The microbiota-gut-brain axis participates in chronic cerebral hypoperfusion by disrupting the metabolism of short-chain fatty acids breakdown →
171
13 2
14 2
15 10
16 3
17 14
18 10
19 17
20 8

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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