Mingye Xie

831 citations
18 papers · 289 indexed · 1 hit paper · h-index 6
Topics
Image and Object Detection Techniques (3 papers)Advanced Neural Network Applications (3 papers)Video Surveillance and Tracking Methods (3 papers)
Partner nations
China

In The Last Decade

Mingye Xie

15 papers receiving 284 citations

Hit Papers

MALUNet: A Multi-Attention and Light-weight UNet for Skin...202220262023202420224080120

Peers

Mingye Xie
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 125
  • Artificial Intelligence 125
  • Radiology, Nuclear Medicine and Imaging 40
  • Oncology 38
  • Industrial and Manufacturing Engineering 31
Replace Ibtissam Bakkouri with:
Ibtissam Bakkouri Morocco
D. Satyanarayana India
Saqib Qamar China
T. Shanthi India
Amirhassan Monadjemi Iran
Debapriya Banik India
Ruixin Yang United States
S. Saraswathi India
Parvez Ahmad China
Mingye Xie relative to Ibtissam Bakkouri Morocco Ibtissam Bakkouri's profile →
Citations per field
00.5×1.5×2.1×
Ibtissam Bakkouri · 1×
Citations per year

Countries citing papers authored by Mingye Xie

Since Specialization
Citations

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

Fields of papers citing papers by Mingye Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingye Xie

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 0
5 1
6 2
7 6
8 2
9 31
10
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentationbreakdown →
122
11 1
12 0
13 10
14 40
15 2
16 5
17 3
18 60

About Mingye Xie

Mingye Xie is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Media Technology, having authored 18 papers that have together received 289 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Artificial Intelligence (125 citations) and Industrial and Manufacturing Engineering (31 citations). Mingye Xie has collaborated with scholars based in China. Frequent co-authors include Suncheng Xiang, Xin Xie, Yuzhuo Fu, Ting Liu, Jiacheng Ruan, Nan Jiang, Fengping Hu, Jingsheng Gao, Huiping Li and Bo Li. Their work appears in journals such as Pattern Recognition, Machine Learning and Multimedia Tools and Applications.

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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