Anling Xiao

734 total citations · 1 hit paper
12 papers, 475 citations indexed

About

Anling Xiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Infectious Diseases. According to data from OpenAlex, Anling Xiao has authored 12 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Neurology and 3 papers in Infectious Diseases. Recurrent topics in Anling Xiao's work include COVID-19 diagnosis using AI (6 papers), Long-Term Effects of COVID-19 (5 papers) and COVID-19 Clinical Research Studies (3 papers). Anling Xiao is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Long-Term Effects of COVID-19 (5 papers) and COVID-19 Clinical Research Studies (3 papers). Anling Xiao collaborates with scholars based in China, United Kingdom and Australia. Anling Xiao's co-authors include Bo Yin, Nan Mei, Xuanxuan Li, Yiping Lu, Dongdong Wang, Yajing Zhao, Daoying Geng, Chu‐Chung Huang, Pu‐Yeh Wu and Tianye Jia and has published in prestigious journals such as European Radiology, Frontiers in Medicine and EClinicalMedicine.

In The Last Decade

Anling Xiao

10 papers receiving 467 citations

Hit Papers

Cerebral Micro-Structural Changes in COVID-19 Patients – ... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Anling Xiao
Comparison fields: 5 of 65
  • Neurology 370
  • Infectious Diseases 150
  • Clinical Psychology 119
  • Critical Care and Intensive Care Medicine 102
  • Neurology 90
Replace Yajing Zhao with:
Yajing Zhao China
Nan Mei China
P. Dudouet France
Tim Coolen Belgium
Nils Schroeter Germany
Jacques‐Yves Campion France
Johannes Thurow Germany
Yiran Zhou China
Johan Virhammar Sweden
Mathieu Queneau France
Yajing Zhao China View profile →
Citations per field, relative to Anling Xiao
Anling Xiao · 1×
Citations per year, relative to Anling Xiao
Anling Xiao · 1×

Countries citing papers authored by Anling Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Anling Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anling Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Anling Xiao. A scholar is included among the top collaborators of Anling 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 Anling Xiao. Anling Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 1
5 10
6 4
7 20
8
Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study breakdown →
417
9 2
10 16
11 1
12 0

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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