Xiaofei Zhuang

478 total citations
13 papers, 81 citations indexed

About

Xiaofei Zhuang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Xiaofei Zhuang has authored 13 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Xiaofei Zhuang's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Xiaofei Zhuang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Xiaofei Zhuang collaborates with scholars based in China, United States and Germany. Xiaofei Zhuang's co-authors include Shiping Guo, Gang Guo, Hua Bai, Jianchun Duan, Jie Wang, Feng Li, Nan Li, Yifan Zhang, Shoukui He and Xianming Shi and has published in prestigious journals such as Clinical Cancer Research, Frontiers in Immunology and Journal of Food Protection.

In The Last Decade

Xiaofei Zhuang

13 papers receiving 80 citations

Peers

Xiaofei Zhuang
Comparison fields: 5 of 37
  • Pulmonary and Respiratory Medicine 30
  • Oncology 27
  • Molecular Biology 19
  • Cancer Research 15
  • Biomedical Engineering 12
Replace Nitya V. Sharma with:
Nitya V. Sharma United States
Gijs F. de Wit Netherlands
Ruixue Ai China
Miguel E. Aguado‐Barrera Mexico
Momir Bosiljcic Canada
Anna Springer Austria
Khayry Al‐Shami Jordan
Jessica A. Mine United States
Iwona Cichoń Poland
Nitya V. Sharma United States View profile →
Citations per field, relative to Xiaofei Zhuang
Xiaofei Zhuang · 1×
Citations per year, relative to Xiaofei Zhuang
Xiaofei Zhuang · 1×

Countries citing papers authored by Xiaofei Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Zhuang

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 4
5 10
6 14
7 12
8 1
9 5
10 11
11 9
12 4
13 8

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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