Xia Xiao

3.5k citations
44 papers · 1.8k indexed · 1 hit paper · h-index 19
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)Advanced Graph Neural Networks (7 papers)Video Analysis and Summarization (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xia Xiao

40 papers receiving 1.8k citations

Hit Papers

Activation and evasion of type I interferon responses by ...20202026202220242020200400600

Peers

Xia Xiao
Comparison fields: 5 of 140
  • Infectious Diseases 923
  • Molecular Biology 478
  • Immunology 454
  • Neurology 171
  • Epidemiology 120
Replace Sheng Niu with:
Sheng Niu China
Ying Chen China
Silvio Steiner Switzerland
Longxiang Xie China
Yu Hu China
Yifei Wang China
Dingwen Hu China
Rong Zhao China
Hardeep Kaur India
Satoshi Sekiguchi Japan
Xia Xiao relative to Sheng Niu China Sheng Niu's profile →
Citations per field
00.5×
Sheng Niu · 1×
Citations per year

Countries citing papers authored by Xia Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xia Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Xiao. A scholar is included among the top collaborators of Xia 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 Xia Xiao. Xia 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 6
6 5
7 3
8 24
9 13
10 2
11 8
12 125
13 19
14 77
15 12
16 46
17
Activation and evasion of type I interferon responses by SARS-CoV-2breakdown →
692
18
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
49
19 25
20 38

About Xia Xiao

Xia Xiao is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Infectious Diseases, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Advanced Graph Neural Networks (7 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Infectious Diseases (923 citations), Immunology (454 citations) and Obstetrics and Gynecology (118 citations). Xia Xiao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianwei Wang, Xiaobo Lei, Lili Ren, Xiaojing Dong, Zhuo Zhou, Conghui Wang, Zichun Xiang, Zhendong Zhao, Ying Wang and Ruiyi Ma. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications and Science Advances.

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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