Qun Mo

20 papers receiving 578 citations

Peers

Qun Mo
Comparison fields: 5 of 74
  • Acoustics and Ultrasonics 43
  • Signal Processing 199
  • Computational Mechanics 372
  • Applied Mathematics 175
  • Computer Vision and Pattern Recognition 239
Replace Song Li with:
Song Li China
Ke Wei China
Guangwu Xu United States
Karin Schnass Switzerland
Jeffrey D. Blanchard United States
Shuyang Ling United States
Валентина Станева United States
Qiuwei Li United States
Wenjun Zeng Hong Kong
Qun Mo relative to Song Li China Song Li's profile →
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Citations per year

Countries citing papers authored by Qun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Qun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qun Mo, 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 Qun Mo Line = papers co-authored together Qun Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016146
2 2012107
3 201198
4 200444
5 200344
6 200431
7 201628
8 202023
9 200320
10 201019
11 201210
12 20198
13 20078
14 20098
15 20115
16 20055
17 20155
18 20073
19 20102
20
[Screening for genes associated with cardiac fibrosis induced by aldosterone].
20121

About Qun Mo

Qun Mo is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Geophysics and Biomedical Engineering, having authored 21 papers that have together received 615 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (12 papers), Image and Signal Denoising Methods (11 papers), Seismic Imaging and Inversion Techniques (6 papers), Advanced Numerical Analysis Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Microwave Imaging and Scattering Analysis (4 papers), Digital Filter Design and Implementation (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (43 citations), Signal Processing (199 citations), Computational Mechanics (372 citations), Applied Mathematics (175 citations) and Computer Vision and Pattern Recognition (239 citations). Qun Mo has collaborated with scholars based in China, Canada and France. Frequent co-authors include Bin Han, Yi Shen, Song Li, Xiaohu Tang, Zhengchun Zhou, Jinming Wen, Jian Wang, Xiaosheng Zhuang, Jian Wang and Yiming Zhang. Their work appears in journals such as Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, SIAM Journal on Imaging Sciences, BMC Bioinformatics and SIAM Journal on Matrix Analysis 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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