Zhuliang Le

1.4k citations
13 papers · 1.0k indexed · 2 hit papers · h-index 10
Topics
Advanced Image Fusion Techniques (13 papers)Image Enhancement Techniques (9 papers)Image and Signal Denoising Methods (5 papers)
Partner nations
China

In The Last Decade

Zhuliang Le

13 papers receiving 992 citations

Hit Papers

FusionDN: A Unified Densely Connected Network for Image F...202020262022202420202020100200300

Peers

Zhuliang Le
Comparison fields: 5 of 56
  • Media Technology 896
  • Computer Vision and Pattern Recognition 780
  • Aerospace Engineering 155
  • Biomedical Engineering 124
  • Artificial Intelligence 39
Replace Guanyao Wu with:
Guanyao Wu China
Yue Que China
Jinlei Ma China
Haowen Bai China
Yan Pingfan China
Hua Zong China
David Ferstl Austria
Xinchen Ye China
Junfeng Yang China
Zhuliang Le relative to Guanyao Wu China Guanyao Wu's profile →
Citations per field
00.5×10×14.8×
Guanyao Wu · 1×
Citations per year

Countries citing papers authored by Zhuliang Le

Since Specialization
Citations

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

Fields of papers citing papers by Zhuliang Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuliang Le

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuliang Le. A scholar is included among the top collaborators of Zhuliang Le 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 Zhuliang Le. Zhuliang Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 48
2 112
3 50
4 9
5 55
6 64
7 29
8 49
9 6
10
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusionbreakdown →
233
11
FusionDN: A Unified Densely Connected Network for Image Fusionbreakdown →
348
12 22
13 1

About Zhuliang Le

Zhuliang Le is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (13 papers), Image Enhancement Techniques (9 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Media Technology (896 citations), Computer Vision and Pattern Recognition (780 citations) and Aerospace Engineering (155 citations). Zhuliang Le has collaborated with scholars based in China. Frequent co-authors include Jiayi Ma, Han Xu, Junjun Jiang, Xiaojie Guo, Hao Zhang, Zhenfeng Shao, Fan Fan, Jun Huang, Yong Ma and Wei Liu. Their work appears in journals such as IEEE Access, Remote Sensing and Information Fusion.

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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