Kewei Tang

419 total citations
26 papers, 311 citations indexed

About

Kewei Tang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Kewei Tang has authored 26 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Mechanics and 7 papers in Media Technology. Recurrent topics in Kewei Tang's work include Face and Expression Recognition (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Remote-Sensing Image Classification (7 papers). Kewei Tang is often cited by papers focused on Face and Expression Recognition (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Remote-Sensing Image Classification (7 papers). Kewei Tang collaborates with scholars based in China, United States and Hong Kong. Kewei Tang's co-authors include Zhixun Su, Risheng Liu, Jie Zhang, Kaiqiang Xu, Jie Zhang, Xiyan Sun, Zhouchen Lin, Xiaonan Luo, Jiangxin Dong and David B. Dunson and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Kewei Tang

25 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kewei Tang China 9 236 112 90 86 26 26 311
Gui‐Fu Lu China 11 300 1.3× 106 0.9× 105 1.2× 71 0.8× 39 1.5× 37 372
Yuanyuan Jiao China 8 232 1.0× 68 0.6× 144 1.6× 73 0.8× 24 0.9× 22 343
Gui-Fu Lu China 12 341 1.4× 57 0.5× 127 1.4× 84 1.0× 46 1.8× 35 412
Yangmuzi Zhang United States 6 256 1.1× 151 1.3× 123 1.4× 89 1.0× 51 2.0× 7 371
Suyun Rao China 5 281 1.2× 121 1.1× 71 0.8× 80 0.9× 41 1.6× 12 339
Ben Yang China 10 320 1.4× 32 0.3× 185 2.1× 59 0.7× 26 1.0× 33 415
Shide Du China 11 219 0.9× 24 0.2× 231 2.6× 33 0.4× 14 0.5× 28 345
Shanhua Zhan China 7 237 1.0× 68 0.6× 117 1.3× 68 0.8× 16 0.6× 12 300
Zilan Hu China 7 229 1.0× 43 0.4× 101 1.1× 64 0.7× 37 1.4× 10 293

Countries citing papers authored by Kewei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kewei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kewei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kewei Tang. A scholar is included among the top collaborators of Kewei 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 Kewei Tang. Kewei 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
1.
Tang, Kewei, et al.. (2024). Adaptive feature alignment network with noise suppression for cross-domain object detection. Neurocomputing. 614. 128789–128789. 1 indexed citations
2.
Xu, Kaiqiang, et al.. (2024). Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering. Expert Systems with Applications. 252. 124243–124243. 4 indexed citations
3.
Xu, Kaiqiang, Kewei Tang, & Zhixun Su. (2024). Multi-view deep subspace clustering via level-by-level guided multi-level features learning. Applied Intelligence. 54(21). 11083–11102.
4.
Xu, Kaiqiang, Kewei Tang, & Zhixun Su. (2022). Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. Neural Computing and Applications. 35(4). 3203–3219. 6 indexed citations
5.
Tang, Kewei, et al.. (2022). Consistent auto-weighted multi-view subspace clustering. Pattern Analysis and Applications. 25(4). 879–890. 1 indexed citations
6.
Tang, Kewei, et al.. (2022). Selecting the Best Part from Multiple Laplacian Autoencoders for Multi-view Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering. 1–1. 20 indexed citations
7.
Tang, Kewei, et al.. (2021). Unsupervised, Supervised and Semi‐supervised Dimensionality Reduction by Low‐Rank Regression Analysis. Chinese Journal of Electronics. 30(4). 603–610. 2 indexed citations
8.
Zhang, Jie, Jian Liu, Xiuping Liu, et al.. (2021). Feature interpolation convolution for point cloud analysis. Computers & Graphics. 99. 182–191. 5 indexed citations
9.
Zhang, Jie, Jiahui Duan, Kewei Tang, Junjie Cao, & Xiuping Liu. (2020). Point Cloud Normal Estimation by Fast Guided Least Squares Representation. IEEE Access. 8. 101580–101590. 5 indexed citations
10.
Ma, Tingting, et al.. (2020). Robust Semi‐nonnegative Matrix Factorization with Adaptive Graph Regularization for Gene Representation. Chinese Journal of Electronics. 29(1). 122–131. 4 indexed citations
11.
Tang, Kewei, et al.. (2019). Bayesian rank penalization. Neural Networks. 116. 246–256. 5 indexed citations
12.
Tang, Kewei, et al.. (2019). Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. 106. 624–632. 2 indexed citations
13.
Liu, Yang, Jinshan Pan, Zhixun Su, & Kewei Tang. (2019). Robust dense correspondence using deep convolutional features. The Visual Computer. 36(4). 827–841. 5 indexed citations
14.
Ma, Tingting, et al.. (2018). Robust Local Learning and Discriminative Concept Factorization for Data Representation. IEEE Access. 6. 68675–68685. 1 indexed citations
15.
Tang, Kewei, et al.. (2018). Subspace segmentation with a large number of subspaces using infinity norm minimization. Pattern Recognition. 89. 45–54. 12 indexed citations
16.
Liu, Jiawei, Jianguo Chen, & Kewei Tang. (2018). A Method for Estimation of the On-Site Construction Waste Quantity of Residential Projects. 1. 225–231. 5 indexed citations
17.
Tang, Kewei, et al.. (2018). Superpixels for large dataset subspace clustering. Neural Computing and Applications. 31(12). 8727–8736. 3 indexed citations
18.
Tang, Kewei, David B. Dunson, Zhixun Su, et al.. (2015). Subspace segmentation by dense block and sparse representation. Neural Networks. 75. 66–76. 21 indexed citations
19.
Tang, Kewei, Jie Zhang, Zhixun Su, & Jiangxin Dong. (2015). Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. Neural Processing Letters. 44(3). 719–733. 7 indexed citations
20.
Liu, Risheng, Zhouchen Lin, Wei Zhang, Kewei Tang, & Zhixun Su. (2012). Toward designing intelligent PDEs for computer vision: An optimal control approach. Image and Vision Computing. 31(1). 43–56. 21 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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