Licheng Liu

1.9k citations
63 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Image and Signal Denoising Methods (21 papers)Advanced Image Processing Techniques (18 papers)Sparse and Compressive Sensing Techniques (9 papers)
Partner nations
ChinaMacaoUnited States

In The Last Decade

Licheng Liu

61 papers receiving 1.3k citations

Hit Papers

A Practical Guide to Counterfactual Estimators for Causal...2022202620232024202250100150

Peers

Licheng Liu
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 755
  • Media Technology 387
  • Artificial Intelligence 290
  • Computational Mechanics 193
  • Electrical and Electronic Engineering 133
Replace Lu Bai with:
Lu Bai China
Junmin Liu China
Amit Saxena India
Xiaowen Dong United Kingdom
Nikolaos Passalis Greece
Karthikeyan Natesan Ramamurthy United States
Jianhua Z. Huang United States
Yunhao Yuan China
Ling Tian China
Stefan Schrödl Germany
Licheng Liu relative to Lu Bai China Lu Bai's profile →
Citations per field
00.5×3.4×
Lu Bai · 1×
Citations per year

Countries citing papers authored by Licheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Licheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Licheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Licheng Liu. A scholar is included among the top collaborators of Licheng Liu 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 Licheng Liu. Licheng Liu 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 2
3 4
4 11
5 2
6 3
7 4
8 32
9 24
10 1
11 25
12 8
13 1
14 62
15 148
16 6
17 1
18 20
19 1
20 2

About Licheng Liu

Licheng Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Advanced Image Processing Techniques (18 papers) and Sparse and Compressive Sensing Techniques (9 papers). The work is most often cited by research in Media Technology (387 citations), Computer Vision and Pattern Recognition (755 citations) and Computational Mathematics (19 citations). Licheng Liu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include C. L. Philip Chen, Long Chen, Yiqing Xu, Yuan Yan Tang, Ye Wang, Shutao Li, Yicong Zhou, Yushu Zhang, Xinge You and Chi‐Man Pun. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

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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