Yan Xiu

1.4k total citations
46 papers, 1.1k citations indexed

About

Yan Xiu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yan Xiu has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Yan Xiu's work include Medical Imaging Techniques and Applications (11 papers), Medical Imaging and Pathology Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yan Xiu is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Medical Imaging and Pathology Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yan Xiu collaborates with scholars based in China, United States and India. Yan Xiu's co-authors include Hongming Zhuang, Abass Alavi, Rakesh Kumar, Jian Q. Yu, Ghassan El‐Haddad, Scott Potenta, Amol Takalkar, Justin W. Kung, Ayşe Mavi and Rakesh Kumar and has published in prestigious journals such as Biomaterials, Journal of Applied Ecology and IEEE Transactions on Energy Conversion.

In The Last Decade

Yan Xiu

46 papers receiving 1.1k citations

Peers

Yan Xiu
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 375
  • Surgery 334
  • Pulmonary and Respiratory Medicine 333
  • Cancer Research 171
  • Pathology and Forensic Medicine 142
Replace Amol Takalkar with:
Amol Takalkar United States
Jigang Yang China
Yong Choi United States
Tetsuya Horiuchi Japan
Hung Q. Ly Canada
Brendan J. MacKay United States
Hidehiko Hara Japan
Jörn O. Balzer Germany
Tommi Pätilä Finland
Masahiko Shibuya Japan
Amol Takalkar United States View profile →
Citations per field, relative to Yan Xiu
Yan Xiu · 1×
Citations per year, relative to Yan Xiu
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Countries citing papers authored by Yan Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Xiu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Xiu. A scholar is included among the top collaborators of Yan Xiu 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 Yan Xiu. Yan Xiu 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 12
2 6
3 2
4 1
5 18
6 4
7 5
8 66
9 9
10 7
11 4
12 32
13 5
14 104
15 56
16 30
17 46
18 35
19 23
20 88

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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