Nan Xiao

1.5k citations
15 papers · 1.0k indexed · h-index 12
Topics
Cardiovascular Function and Risk Factors (6 papers)Cardiovascular Health and Disease Prevention (6 papers)Coronary Interventions and Diagnostics (5 papers)

In The Last Decade

Nan Xiao

15 papers receiving 998 citations

Peers

Nan Xiao
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 626
  • Pulmonary and Respiratory Medicine 386
  • Surgery 353
  • Biomedical Engineering 252
  • Computational Mechanics 144
Replace Vijay Vedula with:
Vijay Vedula United States
Brooke N. Steele United States
Gerhard Rappitsch Austria
Tiziano Passerini United States
Adam Updegrove United States
Boyang Su Singapore
Christopher P. Cheng United States
Tain-Yen Hsia United Kingdom
J. A. Moore Canada
Radomí­r Chabiniok United Kingdom
Nan Xiao relative to Vijay Vedula United States Vijay Vedula's profile →
Citations per field
00.5×1.5×2.1×
Vijay Vedula · 1×
Citations per year

Countries citing papers authored by Nan Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Nan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Xiao

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1
Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation
1
2 29
3 1
4 18
5 18
6 57
7 101
8 235
9 96
10 55
11 60
12 183
13 108
14 52
15 1

About Nan Xiao

Nan Xiao is a scholar working on Cardiology and Cardiovascular Medicine, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiovascular Health and Disease Prevention (6 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (626 citations), Pulmonary and Respiratory Medicine (386 citations) and Surgery (353 citations). Nan Xiao has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include C. Alberto Figueroa, Jordi Alastruey, Charles A. Taylor, Jay D. Humphrey, Philippe Moireau, Dominique Chapelle, Jean-Frédéric Gerbeau, Matteo Astorino, Tobias Schaeffter and Henry Fok. Their work appears in journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Computational Physics.

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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