Lingyu Liang

1.3k total citations
40 papers, 612 citations indexed

About

Lingyu Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Lingyu Liang has authored 40 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Lingyu Liang's work include Face recognition and analysis (13 papers), Image Enhancement Techniques (7 papers) and Handwritten Text Recognition Techniques (6 papers). Lingyu Liang is often cited by papers focused on Face recognition and analysis (13 papers), Image Enhancement Techniques (7 papers) and Handwritten Text Recognition Techniques (6 papers). Lingyu Liang collaborates with scholars based in China, Hong Kong and Singapore. Lingyu Liang's co-authors include Lianwen Jin, Luojun Lin, Jianyong Chen, Wei Zhang, Zhanghui Kuang, Mengru Li, Xuelong Li, Dapeng Tao, Xinglin Zhang and Ziyong Feng and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Lingyu Liang

33 papers receiving 606 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingyu Liang China 12 489 157 121 99 69 40 612
Luojun Lin China 11 377 0.8× 105 0.7× 21 0.2× 174 1.8× 43 0.6× 27 490
Ziyong Feng China 11 336 0.7× 34 0.2× 76 0.6× 107 1.1× 43 0.6× 17 423
Dongyu She China 13 537 1.1× 151 1.0× 32 0.3× 376 3.8× 94 1.4× 16 820
Grigory Antipov France 4 382 0.8× 14 0.1× 16 0.1× 105 1.1× 19 0.3× 5 502
Seong Tae Kim South Korea 12 187 0.4× 23 0.1× 21 0.2× 177 1.8× 16 0.2× 54 424
Ciprian Corneanu Spain 8 334 0.7× 283 1.8× 14 0.1× 61 0.6× 69 1.0× 10 541
Wen-Huang Cheng Taiwan 14 298 0.6× 74 0.5× 22 0.2× 131 1.3× 32 0.5× 51 481
Moez Baccouche France 5 377 0.8× 14 0.1× 12 0.1× 115 1.2× 19 0.3× 6 486
Massimiliano Patacchiola United Kingdom 10 204 0.4× 23 0.1× 13 0.1× 160 1.6× 70 1.0× 17 479

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
1.
Liang, Lingyu, et al.. (2025). Reads: A Personalized Federated Learning Framework With Fine-Grained Layer Aggregation and Decentralized Clustering. IEEE Transactions on Mobile Computing. 24(8). 7709–7725.
2.
Zhang, Xinglin, et al.. (2024). Federated Graph Augmentation for Semisupervised Node Classification. IEEE Transactions on Computational Social Systems. 11(3). 3232–3242. 2 indexed citations
3.
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Liang, Lingyu, et al.. (2024). Fault location method for distribution networks based on multi-head graph attention networks. Frontiers in Energy Research. 12. 1 indexed citations
5.
Wang, Shu, et al.. (2024). Deep learning-based spectral reconstruction in camouflaged target detection. International Journal of Applied Earth Observation and Geoinformation. 126. 103645–103645. 2 indexed citations
6.
Liang, Lingyu, et al.. (2024). Fault location method for distribution networks based on Graph Attention Networks. 573–577. 2 indexed citations
7.
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9.
Liang, Lingyu, et al.. (2023). Appearance Enhancement for Camera-Captured Document Images in the Wild. IEEE Transactions on Artificial Intelligence. 5(5). 2319–2330. 10 indexed citations
10.
Liang, Lingyu, et al.. (2023). Multiple Layout Design Generation via a GAN-Based Method with Conditional Convolution and Attention. IEICE Transactions on Information and Systems. E106.D(9). 1615–1619. 1 indexed citations
11.
Huang, Wenqi, Zhen Dai, Lingyu Liang, et al.. (2023). Risk-averse stochastic dynamic power dispatch based on deep reinforcement learning with risk-oriented Graph-Gan sampling. Frontiers in Energy Research. 11. 1 indexed citations
12.
Liang, Lingyu, Lianwen Jin, & Yong Xu. (2020). PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Transactions on Cybernetics. 52(2). 1021–1034. 3 indexed citations
13.
Liang, Lingyu & Xinglin Zhang. (2019). Adaptive Label Propagation for Facial Appearance Transfer. IEEE Transactions on Multimedia. 21(12). 3068–3082. 4 indexed citations
14.
Lin, Luojun, Lingyu Liang, & Lianwen Jin. (2019). Regression Guided by Relative Ranking Using Convolutional Neural Network (R3 CNN) for Facial Beauty Prediction. IEEE Transactions on Affective Computing. 13(1). 122–134. 32 indexed citations
15.
Liang, Lingyu, Lianwen Jin, & Yong Xu. (2019). Adaptive GNN for Image Analysis and Editing. Neural Information Processing Systems. 32. 3638–3649. 4 indexed citations
16.
Liang, Lingyu, et al.. (2018). SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction. 1598–1603. 125 indexed citations
17.
Liang, Lingyu, et al.. (2017). Region-aware scattering convolution networks for facial beauty prediction. 2861–2865. 9 indexed citations
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19.
Liang, Lingyu, et al.. (2015). FaceMore: A Face Beautification Platform on the Cloud. 31. 1798–1803. 3 indexed citations
20.
Tao, Dapeng, Lingyu Liang, Lianwen Jin, & Yan Gao. (2011). Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold Learning. 1012–1016. 16 indexed citations

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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