Jing Qin

802 citations
53 papers · 512 indexed · h-index 10
Topics
Sparse and Compressive Sensing Techniques (21 papers)Image and Signal Denoising Methods (14 papers)Advanced Image Fusion Techniques (6 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Jing Qin

46 papers receiving 495 citations

Peers

Jing Qin
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 240
  • Computational Mechanics 187
  • Media Technology 113
  • Biomedical Engineering 79
  • Radiology, Nuclear Medicine and Imaging 55
Replace Martin Welk with:
Martin Welk Germany
Weihong Guo United States
Pavel Mrázek⋆ Germany
Ruomei Yan United Kingdom
Xie Sheng-li China
Michael Davies United Kingdom
Guillermo Sapiro United States
Lu Ren China
Luca Calatroni France
Marc Droske Germany
Jing Qin relative to Martin Welk Germany Martin Welk's profile →
Citations per field
00.5×10×14.3×
Martin Welk · 1×
Citations per year

Countries citing papers authored by Jing Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qin. A scholar is included among the top collaborators of Jing Qin 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 Jing Qin. Jing Qin 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 2
3 0
4 8
5 11
6 7
7 0
8 2
9 6
10 30
11
L 1-2 Regularized Logistic Regression
4
12 4
13 7
14 4
15 9
16 9
17 27
18 135
19 1
20 1

About Jing Qin

Jing Qin is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 53 papers that have together received 512 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Image and Signal Denoising Methods (14 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Computational Mathematics (14 citations), Media Technology (113 citations) and Computer Vision and Pattern Recognition (240 citations). Jing Qin has collaborated with scholars based in United States, China and France. Frequent co-authors include Weihong Guo, Wotao Yin, Yifei Lou, Xuemei Chen, Stanley Osher, Jocelyn Chanussot, Hui Zhou, Brian M. Barnes, Richard M. Silver and Andrea L. Bertozzi. Their work appears in journals such as IEEE Transactions on Information Theory, Neuroscience 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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