Yancong Wei

1.2k citations
8 papers · 971 · 2 hit papers · h-index 6

Impact in

Papers in

Yancong Wei

8 papers receiving 950 citations

Yancong Wei's Hit Papers

A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening 2018 · 494 citations
4940+3+6Years since publication100200300400

Peers

Yancong Wei
Comparison fields: 5 of 51
  • Media Technology 866
  • Computer Vision and Pattern Recognition 703
  • Acoustics and Ultrasonics 3
  • Biomedical Engineering 120
  • Ecology 67
Replace Miguel Simões with:
Miguel Simões Portugal
Xiangyu Liu China
Frosti Pálsson Iceland
Randi Fu China
Sen Lei China
Laëtitia Loncan France
Hsuen-Chyun Shyu Taiwan
Claire Thomas France
Luca Capobianco Italy
D. Li China
Yancong Wei relative to Miguel Simões Portugal Miguel Simões's profile →
Citations per field
00.5×1.5×
Miguel Simões · 1×
Citations per year

Countries citing papers authored by Yancong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yancong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Yancong 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 Yancong Wei Line = papers co-authored together Yancong Wei links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Hit paper breakdown →
2018494
2
Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network
Hit paper breakdown →
2017394
3 201730
4 201821
5 201616
6 201712
7 20163
8 20201

About Yancong Wei

Yancong Wei is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Ecology and Ocean Engineering, having authored 8 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (3 papers), Advanced Image Processing Techniques (3 papers), Image Enhancement Techniques (2 papers), Advanced Battery Materials and Technologies (1 paper), Remote Sensing in Agriculture (1 paper), Membrane Separation Technologies (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Media Technology (866 citations), Computer Vision and Pattern Recognition (703 citations), Acoustics and Ultrasonics (3 citations), Biomedical Engineering (120 citations) and Ecology (67 citations). Yancong Wei has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Qiangqiang Yuan, Liangpei Zhang, Xiangchao Meng, Liangpei Zhang, Huanfeng Shen, Qing Cheng, Zhiwei Li, Guiying Tian, Bing Cao and Michael K. Ng. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Journal of Solid State Electrochemistry and ISPRS annals of the photogrammetry, remote sensing and spatial information sciences.

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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