Anzhu Yu

72 papers receiving 1.9k citations

Anzhu Yu's Hit Papers

A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images 2025 · 25 citations
250+2+5Years since publication100200300

Peers

Anzhu Yu
Comparison fields: 5 of 116
  • Media Technology 1.4k
  • Atmospheric Science 872
  • Computer Vision and Pattern Recognition 652
  • Ocean Engineering 159
  • Environmental Engineering 145
Replace Andrea Marinoni with:
Andrea Marinoni Italy
Haokui Zhang China
Zhiyong Lv China
Otávio A. B. Penatti Brazil
Menglong Yan China
Daifeng Peng China
Fan Hu China
Erzhu Li China
Bei Zhao China
Anzhu Yu relative to Andrea Marinoni Italy Andrea Marinoni's profile →
Citations per field
00.5×2.7×
Andrea Marinoni · 1×
Citations per year

Countries citing papers authored by Anzhu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Anzhu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Few-Shot Learning for Hyperspectral Image Classification
Hit paper breakdown →
2018330
2 2017217
3 2017166
4 2022117
5 2020109
6 202279
7 202259
8 202152
9 202151
10 201846
11 202242
12 201839
13 202036
14 201835
15 202032
16 202232
17 202231
18 202026
19 202226
20
A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images
Hit paper breakdown →
202525

About Anzhu Yu

Anzhu Yu is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Ecology and Ocean Engineering, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (53 papers), Remote Sensing and Land Use (38 papers), Advanced Image Fusion Techniques (16 papers), Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (9 papers), Remote Sensing in Agriculture (9 papers), Advanced Vision and Imaging (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Media Technology (1.4k citations), Atmospheric Science (872 citations), Computer Vision and Pattern Recognition (652 citations), Ocean Engineering (159 citations) and Environmental Engineering (145 citations). Anzhu Yu has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Bing Liu, Xuchu Yu, Pengqiang Zhang, Kuiliang Gao, Ruirui Wang, Wenyue Guo, Gang Wan, Zhixiang Xue, Xiangpo Wei and Xiong Tan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, IEEE Geoscience and Remote Sensing Letters 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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