Xing An

425 citations
22 papers · 239 · h-index 8

Impact in

    • Cell Image Analysis Techniques
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Xing An

18 papers receiving 231 citations

Peers

Xing An
Comparison fields: 5 of 82
  • Biophysics 22
  • Hepatology 30
  • Computer Vision and Pattern Recognition 53
  • Health Information Management 8
  • Media Technology 15
Replace Tomoko Tateyama with:
Tomoko Tateyama Japan
Mingqi Gao China
Hüseyin Kutlu Türkiye
Kai Han China
Anam Nazir Australia
Muhammad Nadeem Cheema Australia
Linfeng Jiang China
Mihaela Gordan Romania
Marco Cascio Italy
Antônio Carlos da Silva Barros Brazil
Xing An relative to Tomoko Tateyama Japan Tomoko Tateyama's profile →
Citations per field
00.5×7.3×
Tomoko Tateyama · 1×
Citations per year

Countries citing papers authored by Xing An

Since Specialization
Citations

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

Fields of papers citing papers by Xing An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xing An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xing An Line = papers co-authored together Xing An links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202348
3 201337
4 201330
5 201212
6 202012
7 20249
8
Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.
20127
9 20136
10 20124
11 20143
12 20243
13 20242
14 20242
15
リチウムイオン電池用の高性能アノード材料としてのマグネシウム熱反応による多孔質シリコン【Powered by NICT】
20171
16 20081
17 20221
18 20081
19
The Discuss of the Application of Jingpo Ethnic Traditional National Pattern in Landscape Architecture
20111
20 20230

About Xing An

Xing An is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Civil and Structural Engineering and Media Technology, having authored 22 papers that have together received 239 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Digital Imaging for Blood Diseases (4 papers), Image Processing Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Neonatal and fetal brain pathology (2 papers), Cell Adhesion Molecules Research (2 papers), AI in cancer detection (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Biophysics (22 citations), Hepatology (30 citations), Computer Vision and Pattern Recognition (53 citations), Health Information Management (8 citations) and Media Technology (15 citations). Xing An has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Zhang, Di Lin, Ruijun Guo, Qian Zhou, Yusheng Ji, Celimuge Wu, Tsutomu Yoshinaga, Yalin Wang, Jie Shi and Marvin D. Nelson. Their work appears in journals such as Geotechnical and Geological Engineering, Parasitology, Electrochimica Acta, Journal of Ultrasound in Medicine and Thrombosis Research.

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.

Explore authors with similar magnitude of impact