Maosong Ran

575 citations
10 papers · 399 indexed · h-index 6
Topics
Medical Imaging Techniques and Applications (3 papers)Advanced MRI Techniques and Applications (3 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
ChinaCanada

In The Last Decade

Maosong Ran

8 papers receiving 389 citations

Peers

Maosong Ran
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 180
  • Radiology, Nuclear Medicine and Imaging 178
  • Biomedical Engineering 164
  • Media Technology 106
  • Artificial Intelligence 47
Replace Sameera V. Mohd Sagheer with:
Sameera V. Mohd Sagheer India
Mahmut Yurt United States
Tiep H. Vu United States
Jiayin Kang China
Jianan Cui China
Muzaffer Özbey Türkiye
Matteo Maggioni Sweden
Maosong Ran relative to Sameera V. Mohd Sagheer India Sameera V. Mohd Sagheer's profile →
Citations per field
00.5×1.5×2.2×
Sameera V. Mohd Sagheer · 1×
Citations per year

Countries citing papers authored by Maosong Ran

Since Specialization
Citations

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

Fields of papers citing papers by Maosong Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maosong Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Maosong Ran. A scholar is included among the top collaborators of Maosong Ran 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 Maosong Ran. Maosong Ran 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 6
3 2
4 0
5 39
6 81
7
FusionNet: A Parallel Interactive Neural Network for Compressed Sensing MRI Reconstruction
2
8 116
9 57
10 96

About Maosong Ran

Maosong Ran is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Media Technology (106 citations), Computer Vision and Pattern Recognition (180 citations) and Radiology, Nuclear Medicine and Imaging (178 citations). Maosong Ran has collaborated with scholars based in China and Canada. Frequent co-authors include Yi Zhang, Jiliu Zhou, Zexin Lu, Huaiqiang Sun, Yongqiang Huang, Leyuan Fang, Yang Chen, Jinrong Hu, Hu Chen and Yan Liu. Their work appears in journals such as Optics Express, IEEE Transactions on Circuits and Systems for Video Technology 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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