Qiegen Liu

3.5k citations
171 papers · 2.3k indexed · 1 hit paper · h-index 28
Topics
Medical Imaging Techniques and Applications (54 papers)Image and Signal Denoising Methods (44 papers)Advanced MRI Techniques and Applications (43 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Qiegen Liu

155 papers receiving 2.3k citations

Hit Papers

Polarization-Independent Enhancement of Third-Harmonic Ge...2025202620255101520

Peers

Qiegen Liu
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Computer Vision and Pattern Recognition 953
  • Biomedical Engineering 665
  • Computational Mechanics 467
  • Media Technology 382
Replace Leslie Ying with:
Leslie Ying United States
Kyong Hwan Jin South Korea
Jo Schlemper United Kingdom
Feng Huang China
Hengyong Yu United States
Mehmet Akçakaya United States
Joshua D. Trzasko United States
Stanley H. Chan United States
Dmitry Ulyanov Russia
Henry Argüello Colombia
Qiegen Liu relative to Leslie Ying United States Leslie Ying's profile →
Citations per field
00.5×3.4×
Leslie Ying · 1×
Citations per year

Countries citing papers authored by Qiegen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qiegen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiegen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiegen Liu. A scholar is included among the top collaborators of Qiegen 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 Qiegen Liu. Qiegen Liu 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
1 1
2 1
3 2
4 1
5 14
6 1
7 0
8 3
9 7
10 5
11 17
12 36
13 31
14 4
15 3
16 3
17 13
18 1
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Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.
2
20 15

About Qiegen Liu

Qiegen Liu is a scholar working on Computational Mathematics, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition, having authored 171 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (54 papers), Image and Signal Denoising Methods (44 papers) and Advanced MRI Techniques and Applications (43 papers). The work is most often cited by research in Computational Mathematics (75 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Computer Vision and Pattern Recognition (953 citations). Qiegen Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shanshan Wang, Dong Liang, Yuhao Wang, Hairong Zheng, Minghui Zhang, Henry Leung, Leslie Ying, Jianhua Luo, Binjie Qin and Taohui Xiao. Their work appears in journals such as Nano Letters, Applied Physics Letters and IEEE Transactions on Geoscience and Remote Sensing.

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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