Linwei Yue

38 papers receiving 1.3k citations

Linwei Yue's Hit Papers

Image super-resolution: The techniques, applications, and future 2016 · 383 citations
3830+3+6Years since publication100200300

Peers

Linwei Yue
Comparison fields: 5 of 88
  • Media Technology 322
  • Environmental Engineering 423
  • Computer Vision and Pattern Recognition 483
  • Atmospheric Science 394
  • Global and Planetary Change 309
Replace Onkar Dikshit with:
Onkar Dikshit India
Xiong Xu China
Shuichi Rokugawa Japan
Mattia Crespi Italy
G. Pasquariello Italy
Giuseppe Ruello Italy
J. S. Lee United States
Sidnei J. S. Sant’Anna Brazil
Hsiao-hua K. Burke United States
Xinming Tang China
Linwei Yue relative to Onkar Dikshit India Onkar Dikshit's profile →
Citations per field
00.5×4.1×
Onkar Dikshit · 1×
Citations per year

Countries citing papers authored by Linwei Yue

Since Specialization
Citations

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

Fields of papers citing papers by Linwei Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image super-resolution: The techniques, applications, and future
Hit paper breakdown →
2016383
2 2019129
3 2016111
4 202283
5 201557
6 202257
7 202054
8 201452
9 202040
10 201539
11 202037
12 202031
13 201930
14 202324
15 202323
16 201522
17 202220
18 201919
19 202118
20 201516

About Linwei Yue

Linwei Yue is a scholar working on Environmental Engineering, Atmospheric Science, Global and Planetary Change, Media Technology and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryospheric studies and observations (10 papers), Remote Sensing and LiDAR Applications (9 papers), Soil Moisture and Remote Sensing (8 papers), Advanced Image Processing Techniques (7 papers), Remote Sensing in Agriculture (6 papers), Climate change and permafrost (6 papers), Hydrology and Watershed Management Studies (6 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Media Technology (322 citations), Environmental Engineering (423 citations), Computer Vision and Pattern Recognition (483 citations), Atmospheric Science (394 citations) and Global and Planetary Change (309 citations). Linwei Yue has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang, Jie Li, Hongyan Zhang, Tongwen Li, Qianqian Yang, Xianwei Zheng, Fan Zhang and Lunche Wang. Their work appears in journals such as Journal of Hydrology, ISPRS Journal of Photogrammetry and Remote Sensing, Environmental Pollution, International Journal of Digital Earth and IEEE Journal of Selected Topics in Applied Earth Observations 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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