Shufang Pei

1.4k citations
23 papers · 1.0k indexed · 1 hit paper · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (14 papers)AI in cancer detection (7 papers)MRI in cancer diagnosis (6 papers)
Partner nations
ChinaJapanHong Kong

In The Last Decade

Shufang Pei

19 papers receiving 1.0k citations

Hit Papers

Radiomics Features of Multiparametric MRI as Novel Progno...20172026202020232017100200300

Peers

Shufang Pei
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 833
  • Artificial Intelligence 229
  • Pulmonary and Respiratory Medicine 212
  • Otorhinolaryngology 193
  • Biomedical Engineering 137
Replace Xiaokai Mo with:
Xiaokai Mo China
Fusheng Ouyang China
Lianzhen Zhong China
Marta Bogowicz Switzerland
Sara Kochanny United States
Emanuele Voulaz Italy
Michele Avanzo Italy
Sergey Primakov Netherlands
Shufang Pei relative to Xiaokai Mo China Xiaokai Mo's profile →
Citations per field
00.5×1.5×1.8×
Xiaokai Mo · 1×
Citations per year

Countries citing papers authored by Shufang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Shufang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shufang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Shufang Pei. A scholar is included among the top collaborators of Shufang Pei 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 Shufang Pei. Shufang Pei 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
#WorkIndexed citations
1 0
2 0
3 8
4 13
5 4
6 11
7 6
8 10
9 19
10 40
11 78
12 105
13 41
14 19
15
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinomabreakdown →
389
16 197
17 3
18 80
19 3
20 14

About Shufang Pei

Shufang Pei is a scholar working on Health Informatics, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (6 papers). The work is most often cited by research in Otorhinolaryngology (193 citations), Health Informatics (55 citations) and Radiology, Nuclear Medicine and Imaging (833 citations). Shufang Pei has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Shuixing Zhang, Bin Zhang, Yuhao Dong, Xiaokai Mo, Changhong Liang, Zhouyang Lian, Xiaoning Luo, Wenhui Huang, Lu Zhang and Jing Liu. Their work appears in journals such as PLoS ONE, Clinical Cancer Research and International Journal of Cancer.

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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