Guanlei Xu

1.1k citations
57 papers · 869 indexed · h-index 16

Guanlei Xu

51 papers receiving 786 citations

Peers

Guanlei Xu
Comparison fields: 5 of 95
  • Applied Mathematics 374
  • Computer Vision and Pattern Recognition 494
  • Signal Processing 259
  • Media Technology 89
  • Computational Mathematics 3
Replace Felix Abramovich with:
Felix Abramovich Israel
Hong‐Ye Gao United States
Yanlei Li China
Pierre Vial France
Bing‐Zhao Li China
G.G. Walter United States
Carlos Cabrelli Argentina
Daniel P. Petersen United States
Ricardo D. Fierro United States
K.C. Chou United States
Guanlei Xu relative to Felix Abramovich Israel Felix Abramovich's profile →
Citations per field
00.5×3.6×
Felix Abramovich · 1×
Citations per year

Countries citing papers authored by Guanlei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guanlei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20202
3 20200
4 20183
5 20183
6
Research on Generalized Uncertainty Principles
20163
7 20160
8 20152
9 20146
10 201232
11 201125
12
The de-noising algorithm of filtering based on empirical mode decomposition
20101
13 201050
14 200919
15 200965
16 200855
17
New Multifocus Image Fusion Algorithm Using Feature of Human Vision
20071
18
Image Enhancement Algorithm Based on Neighborhood Limited Empirical Mode Decomposition
20068
19 20064
20 200415

About Guanlei Xu

Guanlei Xu is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 57 papers that have together received 869 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (36 papers), Mathematical Analysis and Transform Methods (24 papers), Digital Filter Design and Implementation (19 papers), Machine Fault Diagnosis Techniques (11 papers), Structural Health Monitoring Techniques (5 papers), Image Enhancement Techniques (5 papers), Advanced Image Fusion Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Applied Mathematics (374 citations), Computer Vision and Pattern Recognition (494 citations) and Signal Processing (259 citations). Guanlei Xu has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaogang Xu, Xiaotong Wang, Wanxiao Sun, Peng Gong, Shunlin Liang, Xiaotong Wang, Xiaotong Wang, X. Wang, Limin Shao and Shiqin Liu. Their work appears in journals such as IEEE Transactions on Signal Processing, Pattern Recognition and 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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