Yuanpu Xie

3.1k citations
21 papers · 1.4k indexed · h-index 13
Topics
AI in cancer detection (11 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Cell Image Analysis Techniques (5 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Yuanpu Xie

21 papers receiving 1.3k citations

Peers

Yuanpu Xie
Comparison fields: 5 of 127
  • Artificial Intelligence 901
  • Computer Vision and Pattern Recognition 598
  • Radiology, Nuclear Medicine and Imaging 488
  • Biophysics 309
  • Media Technology 144
Replace Abhishek Vahadane with:
Abhishek Vahadane India
Laura E. Boucheron United States
Neeraj Kumar India
Ruchika Verma United States
Shan E Ahmed Raza United Kingdom
Korsuk Sirinukunwattana United Kingdom
Simon Graham United Kingdom
Humayun Irshad United States
Yee‐Wah Tsang United Kingdom
Yuanpu Xie relative to Abhishek Vahadane India Abhishek Vahadane's profile →
Citations per field
00.5×5.2×
Abhishek Vahadane · 1×
Citations per year

Countries citing papers authored by Yuanpu Xie

Since Specialization
Citations

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

Fields of papers citing papers by Yuanpu Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanpu Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanpu Xie. A scholar is included among the top collaborators of Yuanpu Xie 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 Yuanpu Xie. Yuanpu Xie 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 4
2
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2
3 25
4 8
5 56
6 30
7 2
8 189
9 3
10 33
11 89
12 291
13 2
14 7
15 48
16 61
17 125
18 49
19 69
20 262

About Yuanpu Xie

Yuanpu Xie is a scholar working on Biophysics, Health Informatics and Artificial Intelligence, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Biophysics (309 citations), Computer Vision and Pattern Recognition (598 citations) and Artificial Intelligence (901 citations). Yuanpu Xie has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Fuyong Xing, Lin Yang, Hai Su, Fujun Liu, Xiangfei Kong, Xiaoshuang Shi, Zizhao Zhang, Manish Sapkota, Pingjun Chen and Jinzheng Cai. Their work appears in journals such as IEEE Transactions on Medical Imaging, BMC Bioinformatics and IEEE Transactions on Neural Networks and Learning Systems.

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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