Yuanyan Tang

3.9k total citations · 2 hit papers
125 papers, 3.1k citations indexed

About

Yuanyan Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yuanyan Tang has authored 125 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 26 papers in Media Technology. Recurrent topics in Yuanyan Tang's work include Face and Expression Recognition (22 papers), Image and Signal Denoising Methods (16 papers) and Image Retrieval and Classification Techniques (15 papers). Yuanyan Tang is often cited by papers focused on Face and Expression Recognition (22 papers), Image and Signal Denoising Methods (16 papers) and Image Retrieval and Classification Techniques (15 papers). Yuanyan Tang collaborates with scholars based in China, Macao and Hong Kong. Yuanyan Tang's co-authors include Kaibo Shi, Shouming Zhong, Jun Wang, Bin Fang, Dacheng Tao, Xinzhi Liu, Jun Cheng, Jun Cheng, Zhaowei Shang and Weifeng Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Yuanyan Tang

118 papers receiving 3.1k citations

Hit Papers

Reliable asynchronous sam... 2018 2026 2020 2023 2018 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanyan Tang China 25 1.2k 808 723 584 389 125 3.1k
Genshe Chen United States 30 855 0.7× 999 1.2× 1.6k 2.1× 387 0.7× 579 1.5× 345 4.2k
Shiji Song China 29 1.4k 1.2× 920 1.1× 1.3k 1.7× 722 1.2× 284 0.7× 111 4.4k
Marius Kloft Germany 25 998 0.9× 474 0.6× 1.7k 2.4× 255 0.4× 180 0.5× 86 3.0k
Xiaonan Luo China 33 2.0k 1.7× 443 0.5× 1.1k 1.5× 153 0.3× 493 1.3× 344 4.5k
Kuangrong Hao China 29 578 0.5× 753 0.9× 1.2k 1.7× 611 1.0× 136 0.3× 262 3.3k
Erfu Yang United Kingdom 34 759 0.7× 508 0.6× 921 1.3× 1.6k 2.7× 143 0.4× 170 4.0k
Hongxia Wang China 28 1.7k 1.4× 355 0.4× 392 0.5× 234 0.4× 164 0.4× 298 2.7k
Lenan Wu China 35 1.2k 1.0× 757 0.9× 1.4k 2.0× 194 0.3× 261 0.7× 244 5.2k
Minnan Luo China 25 999 0.9× 368 0.5× 1.5k 2.1× 124 0.2× 136 0.3× 96 2.4k
Bo Li China 27 771 0.7× 1.2k 1.5× 1.3k 1.8× 302 0.5× 116 0.3× 224 3.8k

Countries citing papers authored by Yuanyan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyan Tang. A scholar is included among the top collaborators of Yuanyan Tang 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 Yuanyan Tang. Yuanyan Tang 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
2.
Sun, Bo, et al.. (2024). Structured Encoding Based on Semantic Disambiguation for Video Captioning. Cognitive Computation. 16(3). 1032–1048.
3.
Xu, Lixiang, Richang Hong, Enhong Chen, et al.. (2024). Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. IEEE Transactions on Multimedia. 26. 9450–9463. 6 indexed citations
4.
Xu, Lixiang, et al.. (2024). Graph Augmentation Empowered Contrastive Learning for Recommendation. ACM Transactions on Information Systems. 43(2). 1–27. 3 indexed citations
5.
Yan, Lingyu, Jiangfeng Chen, & Yuanyan Tang. (2024). TSD-CAM: transformer-based self distillation with CAM similarity for weakly supervised semantic segmentation. Journal of Electronic Imaging. 33(2). 1 indexed citations
6.
He, Tong, Lin Liu, Ning Li, et al.. (2023). LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network. IEEE Access. 11. 115654–115667. 1 indexed citations
7.
Wang, Xiaofeng, et al.. (2023). GENet: Guidance Enhancement Network for 3D Shape Recognition. 30. 1–8. 1 indexed citations
8.
Tang, Yuanyan, Yi Hui, & Ke Li. (2022). LES study on variation of flow pattern around a 4:1 rectangular cylinder and corresponding wind load during VIV. Journal of Wind Engineering and Industrial Aerodynamics. 228. 105121–105121. 14 indexed citations
9.
Gao, Jie, et al.. (2021). Probabilistic Non-Negative Matrix Factorization with Binary Components. Mathematics. 9(11). 1189–1189. 1 indexed citations
10.
Xu, Lixiang, Lixin Cui, Thomas Weise, et al.. (2021). Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognition. 120. 108125–108125. 15 indexed citations
11.
Xu, Lixiang, Lu Bai, Jin Xiao, et al.. (2020). Multiple graph kernel learning based on GMDH-type neural network. Information Fusion. 66. 100–110. 23 indexed citations
12.
Ye, Hailiang, Hong Li, Bing Yang, Feilong Cao, & Yuanyan Tang. (2019). A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4457–4469. 28 indexed citations
13.
Zhang, Yuanping, Yuanyan Tang, Bin Fang, & Zhaowei Shang. (2019). Multi-object tracking using deformable convolution networks with tracklets updating. International Journal of Wavelets Multiresolution and Information Processing. 17(6). 1950042–1950042. 2 indexed citations
14.
Li, Lingfeng, et al.. (2017). An image encryption system based on 2-dimensional quantum random walks. 93–98. 3 indexed citations
15.
Shi, Kaibo, Yuanyan Tang, Xinzhi Liu, & Shouming Zhong. (2016). Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation. ISA Transactions. 66. 185–199. 184 indexed citations
16.
Li, Hong, Hong Li, Hongfeng Li, et al.. (2014). Sparse-based neural response for image classification. Neurocomputing. 144. 198–207. 9 indexed citations
17.
Tang, Yuanyan, et al.. (2011). A rotation-robust script identification based on BEMD and LBP. 25. 165–170. 10 indexed citations
18.
Fang, Bin, et al.. (2010). A New Fingerprint Thinning Algorithm. 17. 1–4. 5 indexed citations
19.
Wen, Jing, et al.. (2007). Offline signature verification based on the gabor transform. 3. 1173–1176. 4 indexed citations
20.
Shui, Peng‐Lang, Zheng Bao, Xian‐Da Zhang, & Yuanyan Tang. (2002). Two-channel adaptive biorthogonal filterbanks via lifting. Signal Processing. 82(6). 881–893. 5 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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