Qi Wei

13 papers receiving 1.6k citations

Qi Wei's Hit Papers

Pan-sharpening Hyperspectral : revue 2015 · 620 citations
6200+3+7Years since publication200400600

Peers

Qi Wei
Comparison fields: 5 of 72
  • Media Technology 1.5k
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mathematics 9
  • Atmospheric Science 139
  • Computational Mechanics 99
Replace Miguel Simões with:
Miguel Simões Portugal
Shen‐En Qian Canada
Massimo Selva Italy
Claas Grohnfeldt Germany
Zhu Han China
Benoît Vozel France
Jianjun Liu China
Qiangqiang Yuan China
Yulei Wang China
Zaiping Lin China
Qi Wei relative to Miguel Simões Portugal Miguel Simões's profile →
Citations per field
00.5×1.5×2.0×
Miguel Simões · 1×
Citations per year

Countries citing papers authored by Qi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Qi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Pan-sharpening Hyperspectral : revue
Hit paper breakdown →
2015620
2
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
Hit paper breakdown →
2015517
3 2015201
4 2019105
5 202165
6 201749
7
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model
201744
8 201726
9 201517
10 201610
11 201410
12
An inner-loop free solution to inverse problems using deep neural networks
20176
13 20181

About Qi Wei

Qi Wei is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Mechanics of Materials, Civil and Structural Engineering and Mathematical Physics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (11 papers), Remote-Sensing Image Classification (10 papers), Image and Signal Denoising Methods (9 papers), Remote Sensing and Land Use (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Geochemistry and Geologic Mapping (1 paper), Ultrasonics and Acoustic Wave Propagation (1 paper) and Topology Optimization in Engineering (1 paper). The work is most often cited by research in Media Technology (1.5k citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mathematics (9 citations), Atmospheric Science (139 citations) and Computational Mechanics (99 citations). Qi Wei has collaborated with scholars based in France, United States and Portugal. Frequent co-authors include Nicolas Dobigeon, Jean‐Yves Tourneret, José M. Bioucas‐Dias, Luı́s B. Almeida, Giorgio Licciardi, Naoto Yokoya, Jocelyn Chanussot, Laëtitia Loncan, Xavier Briottet and Sophie Fabre. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Signal Processing, IEEE Geoscience and Remote Sensing Magazine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Computational 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.

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