Lingyu Liang

1.3k citations
40 papers · 612 indexed · h-index 12
Topics
Face recognition and analysis (13 papers)Image Enhancement Techniques (7 papers)Handwritten Text Recognition Techniques (6 papers)
Partner nations
ChinaHong KongSingapore

In The Last Decade

Lingyu Liang

33 papers receiving 606 citations

Peers

Lingyu Liang
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 489
  • Experimental and Cognitive Psychology 157
  • Media Technology 121
  • Artificial Intelligence 99
  • Cognitive Neuroscience 69
Replace Luojun Lin with:
Luojun Lin China
Dongyu She China
Grigory Antipov France
Wen-Huang Cheng Taiwan
Moez Baccouche France
Ziyong Feng China
Seong Tae Kim South Korea
Ciprian Corneanu Spain
Filareti Tsalakanidou Greece
Yueli Cui China
Lingyu Liang relative to Luojun Lin China Luojun Lin's profile →
Citations per field
00.5×11.5×
Luojun Lin · 1×
Citations per year

Countries citing papers authored by Lingyu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyu Liang. A scholar is included among the top collaborators of Lingyu Liang 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 Lingyu Liang. Lingyu Liang 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 0
4 1
5 2
6 2
7 0
8 2
9 10
10 1
11 1
12 3
13 4
14 32
15
Adaptive GNN for Image Analysis and Editing
4
16 125
17 9
18 46
19 3
20 16

About Lingyu Liang

Lingyu Liang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 40 papers that have together received 612 indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Image Enhancement Techniques (7 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (489 citations), Media Technology (121 citations) and Experimental and Cognitive Psychology (157 citations). Lingyu Liang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Lianwen Jin, Luojun Lin, Jianyong Chen, Wei Zhang, Zhanghui Kuang, Mengru Li, Xuelong Li, Dapeng Tao, Xinglin Zhang and Ziyong Feng. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Circuits and Systems for Video Technology.

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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