Zhan Wu

972 citations
28 papers · 589 indexed · 1 hit paper · h-index 12
Topics
Medical Imaging Techniques and Applications (10 papers)Advanced X-ray and CT Imaging (10 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
Partner nations
ChinaFranceBangladesh

In The Last Decade

Zhan Wu

24 papers receiving 569 citations

Hit Papers

CTformer: convolution-free Token2Token dilated vision tra...20232026202420252023255075100

Peers

Zhan Wu
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 302
  • Computer Vision and Pattern Recognition 252
  • Biomedical Engineering 136
  • Experimental and Cognitive Psychology 85
  • Artificial Intelligence 82
Replace Zhiyuan Li with:
Zhiyuan Li China
Majid Harouni Iran
Francesco Girardi Italy
Abdolvahab Ehsani Rad Malaysia
Beiji Zou China
Charturong Tantibundhit Thailand
Amal Farag United States
Rostom Kachouri France
Shipeng Xie China
Peyman Hosseinzadeh Kassani United States
Zhan Wu relative to Zhiyuan Li China Zhiyuan Li's profile →
Citations per field
00.5×4.1×
Zhiyuan Li · 1×
Citations per year

Countries citing papers authored by Zhan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Wu. A scholar is included among the top collaborators of Zhan Wu 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 Zhan Wu. Zhan Wu 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
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Telemonitoring System for Cable Pipeline Inspection Robot
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About Zhan Wu

Zhan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Business and International Management and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 589 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (302 citations), Computer Vision and Pattern Recognition (252 citations) and Experimental and Cognitive Psychology (85 citations). Zhan Wu has collaborated with scholars based in China, France and Bangladesh. Frequent co-authors include Min Peng, Tong Chen, Yang Chen, Zhihao Zhang, Hengyong Yu, Dayang Wang, Shuo Li, Fenglei Fan, Rui Liu and Fei Wang. Their work appears in journals such as Energy Economics, Physics in Medicine and Biology and Medical Image Analysis.

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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