Qi Wei

2.2k citations
12 papers · 1.6k indexed · 2 hit papers · h-index 10

Impact in

Papers in

Qi Wei

12 papers receiving 1.6k citations

Hit Papers

Pan-sharpening Hyperspectral : revue 2015 · 613 citations
6132015202620182022200400600

Peers

Qi Wei
Comparison fields: 5 of 73
  • Media Technology 1.4k
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mathematics 8
  • Atmospheric Science 110
  • Computational Mechanics 97
Replace Miguel Simões with:
Miguel Simões Portugal
Claas Grohnfeldt Germany
Massimo Selva Italy
Benoît Vozel France
Jianjun Liu China
Jingyu Ji China
Zhu Han China
Qiangqiang Yuan China
Zaiping Lin China
Pedro Garcı́a-Sevilla Spain
Qi Wei relative to Miguel Simões Portugal Miguel Simões's profile →
Citations per field
00.5×1.6×
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

12 of 12 papers shown
#Work
1 202164
2 2019105
3 20181
4 201749
5
An inner-loop free solution to inverse problems using deep neural networks
20176
6 201726
7 201610
8
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
Hit paper breakdown →
2015510
9 201517
10
Pan-sharpening Hyperspectral : revue
Hit paper breakdown →
2015613
11 2015200
12 201410

About Qi Wei

Qi Wei is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Mathematical Physics, Mechanics of Materials and Computational Mechanics, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Image and Signal Denoising Methods (9 papers), Remote-Sensing Image Classification (9 papers), Piezoelectric Actuators and Control (1 paper), Geochemistry and Geologic Mapping (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Topology Optimization in Engineering (1 paper) and Composite Structure Analysis and Optimization (1 paper). The work is most often cited by research in Media Technology (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mathematics (8 citations), Atmospheric Science (110 citations) and Computational Mechanics (97 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, Miguel Simões, Naoto Yokoya, Jocelyn Chanussot, Gemine Vivone, Luı́s B. Almeida, Miguel A. Veganzones and Laëtitia Loncan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, IEEE Transactions on Computational Imaging, Information Fusion and IEEE Journal of Selected Topics in Signal Processing.

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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