Huanxiang Lu

627 total citations
20 papers, 347 citations indexed

About

Huanxiang Lu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Huanxiang Lu has authored 20 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Huanxiang Lu's work include Medical Image Segmentation Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (3 papers). Huanxiang Lu is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (3 papers). Huanxiang Lu collaborates with scholars based in Switzerland, United States and Austria. Huanxiang Lu's co-authors include Lijing Xin, Rolf Gruetter, Benoît Schaller, Mauricio Reyes, Vladı́mir Mlynárik, Stefan Weber, Philippe C. Cattin, Matthias Peterhans, Kim Q. and Margot Fournier and has published in prestigious journals such as Nature Communications, Magnetic Resonance in Medicine and Schizophrenia Bulletin.

In The Last Decade

Huanxiang Lu

19 papers receiving 337 citations

Peers

Huanxiang Lu
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 177
  • Computer Vision and Pattern Recognition 85
  • Biological Psychiatry 51
  • Cognitive Neuroscience 49
  • Biomedical Engineering 46
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Do‐Wan Lee South Korea
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Citations per field, relative to Huanxiang Lu
Huanxiang Lu · 1×
Citations per year, relative to Huanxiang Lu
Huanxiang Lu · 1×

Countries citing papers authored by Huanxiang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Huanxiang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanxiang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huanxiang Lu. A scholar is included among the top collaborators of Huanxiang Lu 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 Huanxiang Lu. Huanxiang Lu 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 2
2 3
3 0
4 5
5
Development and External Validation of a Machine Learning Model for Predicting Response to anti-VEGF Treatment in Patients with neovascular AMD
1
6 23
7 73
8 28
9 15
10 13
11 13
12 16
13 10
14 4
15 7
16 8
17 79
18 4
19 14
20 29

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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