Fengze Liu

1.4k citations
10 papers · 473 indexed · 1 hit paper · h-index 6
Topics
Advanced Neural Network Applications (5 papers)Medical Image Segmentation Techniques (4 papers)Domain Adaptation and Few-Shot Learning (2 papers)

In The Last Decade

Fengze Liu

9 papers receiving 469 citations

Hit Papers

Intriguing Findings of Frequency Selection for Image Debl...20232026202420252023255075100

Peers

Fengze Liu
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 319
  • Radiology, Nuclear Medicine and Imaging 171
  • Artificial Intelligence 148
  • Biomedical Engineering 78
  • Media Technology 46
Replace Yawen Huang with:
Yawen Huang China
Zhuotun Zhu United States
He Cheng United States
Karamjeet Singh India
Osama A. Omer Egypt
Kongming Liang China
Anam Nazir Australia
Muhammad Nadeem Cheema Australia
Jinglong Du China
Qingji Guan China
Fengze Liu relative to Yawen Huang China Yawen Huang's profile →
Citations per field
00.5×1.5×2.2×
Yawen Huang · 1×
Citations per year

Countries citing papers authored by Fengze Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fengze Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengze Liu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 1
3
Intriguing Findings of Frequency Selection for Image Deblurringbreakdown →
102
4 5
5 163
6 76
7 93
8 10
9
Bridging the Gap Between 2D and 3D Organ Segmentation.
2
10 21

About Fengze Liu

Fengze Liu is a scholar working on Computer Vision and Pattern Recognition, Biochemistry and Artificial Intelligence, having authored 10 papers that have together received 473 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Medical Image Segmentation Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Radiology, Nuclear Medicine and Imaging (171 citations) and Media Technology (46 citations). Fengze Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Alan Yuille, Daguang Xu, Yingda Xia, Dong Yang, Jinzheng Cai, Lequan Yu, Holger R. Roth, Zhuotun Zhu, Wei Shen and Yiming Liu. Their work appears in journals such as Medical Image Analysis, Journal of the American Oil Chemists Society and Agriculture.

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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