Canyi Lu

6.6k citations
40 papers · 4.6k · 4 hit papers · h-index 22

Impact in

Papers in

Canyi Lu

38 papers receiving 4.5k citations

Canyi Lu's Hit Papers

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm 2019 · 773 citations
7730+4+9Years since publication250500750

Peers

Canyi Lu
Comparison fields: 5 of 118
  • Computational Mathematics 1.1k
  • Computer Vision and Pattern Recognition 2.9k
  • Media Technology 885
  • Computational Mechanics 1.9k
  • Signal Processing 530
Replace Yuan Xie with:
Yuan Xie China
Fanhua Shang China
Yongyong Chen China
Ehsan Elhamifar United States
Ning Hao China
Qian Zhao China
Xiao Fu United States
Zhihui Lai China
Quanxue Gao China
Lunke Fei China
Canyi Lu relative to Yuan Xie China Yuan Xie's profile →
Citations per field
00.5×3.2×
Yuan Xie · 1×
Citations per year

Countries citing papers authored by Canyi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Canyi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
Hit paper breakdown →
2019773
2
Robust and Efficient Subspace Segmentation via Least Squares Regression
Hit paper breakdown →
2012539
3
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Hit paper breakdown →
2016410
4
Subspace Clustering by Block Diagonal Representation
Hit paper breakdown →
2018354
5 2016306
6 2017241
7 2014211
8 2012192
9 2014185
10 2016158
11 2016150
12 2015140
13 2017135
14 2019131
15 2019120
16 201579
17 201378
18 201356
19 202146
20 201836

About Canyi Lu

Canyi Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Computational Mathematics and Media Technology, having authored 40 papers that have together received 4.6k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Face and Expression Recognition (15 papers), Blind Source Separation Techniques (6 papers), Tensor decomposition and applications (6 papers), Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computational Mathematics (1.1k citations), Computer Vision and Pattern Recognition (2.9k citations), Media Technology (885 citations), Computational Mechanics (1.9k citations) and Signal Processing (530 citations). Canyi Lu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shuicheng Yan, Zhouchen Lin, Jiashi Feng, Wei Liu, Yudong Chen, Lin Zhu, Hai Min, De-Shuang Huang, Zhong‐Qiu Zhao and Yunchao Wei. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing, Machine Learning and IEEE Transactions on Image 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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