Xiaobo Qu

132 papers receiving 3.7k citations

Peers

Xiaobo Qu
Comparison fields: 5 of 134
  • Computational Mathematics 52
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Media Technology 686
  • Computational Mechanics 1.2k
  • Computer Vision and Pattern Recognition 1.1k
Replace Di Guo with:
Di Guo China
Santiago Aja‐Fernández Spain
Ignace Lemahieu Belgium
Leslie Ying United States
Kristian Bredies Austria
Gustavo K. Rohde United States
Huazhong Shu China
Carlos Alberola‐López Spain
Ricardo Otazo United States
Kyong Hwan Jin South Korea
Xiaobo Qu relative to Di Guo China Di Guo's profile →
Citations per field
00.5×3.3×
Di Guo · 1×
Citations per year

Countries citing papers authored by Xiaobo Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobo Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaobo Qu Line = papers co-authored together Xiaobo Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018277
2 2013265
3 2008250
4 2012188
5 2015152
6 2016143
7 2014123
8 2015122
9 2010121
10 2019120
11 2020105
12 200991
13 201783
14 201473
15 202161
16 201357
17 202051
18 201849
19 201048
20
A novel image fusion algorithm based on bandelet transform
200748

About Xiaobo Qu

Xiaobo Qu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Nuclear and High Energy Physics, having authored 142 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (63 papers), Sparse and Compressive Sensing Techniques (53 papers), Image and Signal Denoising Methods (35 papers), NMR spectroscopy and applications (22 papers), Advanced Image Fusion Techniques (17 papers), Photoacoustic and Ultrasonic Imaging (15 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced Image Processing Techniques (10 papers). The work is most often cited by research in Computational Mathematics (52 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Media Technology (686 citations), Computational Mechanics (1.2k citations) and Computer Vision and Pattern Recognition (1.1k citations). Xiaobo Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Di Guo, Zhong Chen, Jingwen Yan, Jian‐Feng Cai, Yunsong Liu, Vladislav Orekhov, Zhifang Zhan, Yingkun Hou, Shuhui Cai and Hengfa Lu. Their work appears in journals such as Journal of Magnetic Resonance, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Instrumentation and Measurement, Medical Image Analysis and Magnetic Resonance Imaging.

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.

Explore authors with similar magnitude of impact