Le Yu

569 citations
28 papers · 382 · h-index 9

Impact in

Papers in

Le Yu

26 papers receiving 371 citations

Peers

Le Yu
Comparison fields: 5 of 56
  • Artificial Intelligence 204
  • Computer Science Applications 26
  • Transportation 30
  • Media Technology 31
  • Computer Networks and Communications 58
Replace Nan Zhao with:
Nan Zhao China
Zihan Zhang China
Xiangyu Dong United States
Muhammad Aqib Javed Pakistan
Le Liu China
Ke Cheng China
Yutian Wen China
Le Yu relative to Nan Zhao China Nan Zhao's profile →
Citations per field
00.5×12×
Nan Zhao · 1×
Citations per year

Countries citing papers authored by Le Yu

Since Specialization
Citations

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

Fields of papers citing papers by Le Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016106
2 201490
3 201849
4 201123
5 201618
6 201713
7 201413
8 202110
9 201010
10 20238
11 20238
12 20117
13 20115
14 20224
15 20133
16 20082
17 20082
18 20102
19
A High-Precision Co-registration Method for InSAR Image Processing
20071
20
Study on image automatism registration methods based on matching
20071

About Le Yu

Le Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Media Technology, having authored 28 papers that have together received 382 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Remote Sensing and Land Use (4 papers), Remote-Sensing Image Classification (4 papers), Privacy, Security, and Data Protection (4 papers), Advanced Image Fusion Techniques (3 papers), Service-Oriented Architecture and Web Services (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Computer Science Applications (26 citations), Transportation (30 citations), Media Technology (31 citations) and Computer Networks and Communications (58 citations). Le Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haojin Zhu, Muyuan Li, Kui Ren, Zhaoyu Gao, Si Chen, Jun Duan, Suguo Du, Xiao Xiong, Ming Zhang and Lan‐Tian Feng. Their work appears in journals such as IEEE Internet of Things Journal, Nature Communications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Mobile Computing and Socio-Economic Planning 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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