Baixuan Xu

668 total citations
63 papers, 448 citations indexed

About

Baixuan Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Baixuan Xu has authored 63 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Baixuan Xu's work include Medical Imaging Techniques and Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Prostate Cancer Treatment and Research (13 papers). Baixuan Xu is often cited by papers focused on Medical Imaging Techniques and Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Prostate Cancer Treatment and Research (13 papers). Baixuan Xu collaborates with scholars based in China, United States and Germany. Baixuan Xu's co-authors include Jiajin Liu, Jiahe Tian, Jinming Zhang, Guangyu Ma, Xiaojun Zhang, Jiahe Tian, Liping Fu, Yingmao Chen, Lin Mu and Ruimin Wang and has published in prestigious journals such as PLoS ONE, The Journal of Urology and Frontiers in Immunology.

In The Last Decade

Baixuan Xu

58 papers receiving 441 citations

Peers

Baixuan Xu
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 216
  • Pulmonary and Respiratory Medicine 148
  • Oncology 91
  • Surgery 48
  • Biomedical Engineering 46
Replace Elisabetta Giovannini with:
Elisabetta Giovannini Italy
Morand Piert United States
R. Lieverse Netherlands
Mateen Moghbel United States
Carla Canevari Italy
Peter Hass Germany
Mattia Riondato Italy
Priscilla Guglielmo Italy
Guanjun Wang China
Atsushi Tani Japan
Elisabetta Giovannini Italy View profile →
Citations per field, relative to Baixuan Xu
Baixuan Xu · 1×
Citations per year, relative to Baixuan Xu
Baixuan Xu · 1×

Countries citing papers authored by Baixuan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Baixuan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baixuan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Baixuan Xu. A scholar is included among the top collaborators of Baixuan Xu 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 Baixuan Xu. Baixuan Xu 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 4
2 5
3 3
4 8
5 3
6 0
7 3
8 8
9 9
10 0
11 25
12 12
13 3
14 21
15 8
16 2
17 0
18 27
19 2
20 6

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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