Bo Zhan

881 total citations · 1 hit paper
16 papers, 493 citations indexed

About

Bo Zhan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Bo Zhan has authored 16 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Bo Zhan's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Image Segmentation Techniques (4 papers). Bo Zhan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Image Segmentation Techniques (4 papers). Bo Zhan collaborates with scholars based in China, Australia and South Korea. Bo Zhan's co-authors include Yan Wang, Xi Wu, Jiliu Zhou, Chen Zu, Luping Zhou, Jiliu Zhou, Jianghong Xiao, Xingchen Peng, Dinggang Shen and Kaiping Wang and has published in prestigious journals such as Journal of Materials Chemistry A, Neurocomputing and Industrial Crops and Products.

In The Last Decade

Bo Zhan

16 papers receiving 492 citations

Hit Papers

Semi-supervised medical image segmentation via a tripled-... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Bo Zhan
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 244
  • Radiology, Nuclear Medicine and Imaging 226
  • Artificial Intelligence 167
  • Radiation 94
  • Biomedical Engineering 87
Replace Yeqin Shao with:
Yeqin Shao China
Dzhoshkun I. Shakir United Kingdom
Lucas Fidon United Kingdom
Junyu Chen United States
Xiaowei Ding China
Jiayin Kang China
Audrey H. Zhuang United States
Laquan Li China
Xia Huang China
Hessam Sokooti Netherlands
Yeqin Shao China View profile →
Citations per field, relative to Bo Zhan
Bo Zhan · 1×
Citations per year, relative to Bo Zhan
Bo Zhan · 1×

Countries citing papers authored by Bo Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Bo Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Zhan

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 1
3 17
4 6
5
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning breakdown →
112
6 31
7 16
8 61
9 2
10 74
11 58
12 31
13 56
14 3
15 21
16 3

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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2026