Jieru Mei

1.3k citations
10 papers · 371 indexed · 1 hit paper · h-index 6
Topics
Advanced Neural Network Applications (6 papers)Human Pose and Action Recognition (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)

In The Last Decade

Jieru Mei

9 papers receiving 357 citations

Hit Papers

TransUNet: Rethinking the U-Net architecture design for m...202420262025202450100150200250

Peers

Jieru Mei
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 179
  • Artificial Intelligence 102
  • Radiology, Nuclear Medicine and Imaging 99
  • Neurology 59
  • Biomedical Engineering 48
Replace Muyi Sun with:
Muyi Sun China
Zhiwei Cao China
Erdal Özbay Türkiye
Hossein Kashiani United States
Shuchao Pang China
Xingqun Qi China
Abdolvahab Ehsani Rad Malaysia
Márton Szemenyei Hungary
Tianbao Zhou China
Regina Pohle-Fröhlich Germany
Jieru Mei relative to Muyi Sun China Muyi Sun's profile →
Citations per field
00.5×3.1×
Muyi Sun · 1×
Citations per year

Countries citing papers authored by Jieru Mei

Since Specialization
Citations

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

Fields of papers citing papers by Jieru Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieru Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Jieru Mei. A scholar is included among the top collaborators of Jieru Mei 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 Jieru Mei. Jieru Mei 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
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TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformersbreakdown →
287
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5 21
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7 2
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9 14
10 20

About Jieru Mei

Jieru Mei is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 10 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Neurology (59 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Jieru Mei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Alan Yuille, Yuyin Zhou, Le Lü, Xiangde Luo, Jieneng Chen, Xianhang Li, Yongyi Lu, Lei Xing, Ehsan Adeli and Qihang Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and arXiv (Cornell University).

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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