Lu Gan

3.8k citations
137 papers · 2.6k indexed · 2 hit papers · h-index 19
Topics
Sparse and Compressive Sensing Techniques (29 papers)Image and Signal Denoising Methods (22 papers)Blind Source Separation Techniques (18 papers)

In The Last Decade

Lu Gan

126 papers receiving 2.5k citations

Hit Papers

Block Compressed Sensing of Natural Images200720262013201920072008100200300400500

Peers

Lu Gan
Comparison fields: 5 of 103
  • Computational Mechanics 1.6k
  • Computer Vision and Pattern Recognition 953
  • Biomedical Engineering 798
  • Electrical and Electronic Engineering 755
  • Signal Processing 608
Replace Yaakov Tsaig with:
Yaakov Tsaig United States
Xun Cao China
Aswin C. Sankaranarayanan United States
Shane F. Cotter United States
Namrata Vaswani United States
Byonghyo Shim South Korea
Wei Dai United Kingdom
Iddo Drori United States
M. Salman Asif United States
Hassan Mansour United States
Lu Gan relative to Yaakov Tsaig United States Yaakov Tsaig's profile →
Citations per field
00.5×4.0×
Yaakov Tsaig · 1×
Citations per year

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Gan. A scholar is included among the top collaborators of Lu Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Gan. Lu Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 1
5 9
6 0
7 7
8 0
9 1
10 3
11 49
12 42
13 2
14 21
15 8
16 15
17 20
18 117
19
Fast compressive imaging using scrambled block Hadamard ensemble
122
20
Studies on genetic variations and phylogenetic relationships among five species of Tetrix using RAPD markers
1

About Lu Gan

Lu Gan is a scholar working on Acoustics and Ultrasonics, Signal Processing and Computational Mechanics, having authored 137 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (29 papers), Image and Signal Denoising Methods (22 papers) and Blind Source Separation Techniques (18 papers). The work is most often cited by research in Acoustics and Ultrasonics (117 citations), Computational Mechanics (1.6k citations) and Signal Processing (608 citations). Lu Gan has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Trac D. Tran, T. Thong, Nam H. Nguyen, Cong Ling, Kai‐Kuang Ma, Dzung T. Nguyen, Yi Chen, Kezhi Li, Hongqing Liu and Yaochun Shen. Their work appears in journals such as Nature Communications, Applied Physics Letters and Nature Cell Biology.

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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