Juwei Lu

3.9k total citations · 2 hit papers
36 papers, 2.6k citations indexed

About

Juwei Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Juwei Lu has authored 36 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Juwei Lu's work include Face and Expression Recognition (22 papers), Face recognition and analysis (10 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Juwei Lu is often cited by papers focused on Face and Expression Recognition (22 papers), Face recognition and analysis (10 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Juwei Lu collaborates with scholars based in Canada, Singapore and Sweden. Juwei Lu's co-authors include Konstantinos N. Plataniotis, A.N. Venetsanopoulos, Meng Joo Er, Shiqian Wu, Jie Wang, Peng Dai, Hanwen Liang, Qiong Zhang, Haiping Lu and S.Z. Li and has published in prestigious journals such as Pattern Recognition, Information Sciences and Pattern Recognition Letters.

In The Last Decade

Juwei Lu

35 papers receiving 2.4k citations

Hit Papers

Face recognition using LDA-based algorithms 2002 2026 2010 2018 2003 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juwei Lu Canada 15 2.0k 670 662 352 187 36 2.6k
Yuxiao Hu United States 19 3.4k 1.7× 719 1.1× 852 1.3× 623 1.8× 155 0.8× 56 4.0k
Zhong Jin China 29 2.5k 1.2× 606 0.9× 752 1.1× 527 1.5× 281 1.5× 165 3.4k
Chengjun Liu United States 17 2.4k 1.2× 754 1.1× 272 0.4× 531 1.5× 72 0.4× 34 2.8k
F. Anouar France 4 871 0.4× 232 0.3× 497 0.8× 239 0.7× 202 1.1× 5 1.4k
Xiangyang Wang China 32 3.1k 1.5× 313 0.5× 761 1.1× 861 2.4× 108 0.6× 223 4.0k
Hanqing Lu China 21 2.2k 1.1× 411 0.6× 586 0.9× 282 0.8× 57 0.3× 132 2.6k
Dacheng Tao United Kingdom 14 2.2k 1.1× 254 0.4× 846 1.3× 544 1.5× 67 0.4× 23 2.8k
Zhihui Lai China 28 1.8k 0.9× 200 0.3× 782 1.2× 499 1.4× 98 0.5× 103 2.4k
Quanxue Gao China 32 2.4k 1.2× 238 0.4× 1.7k 2.5× 495 1.4× 68 0.4× 139 3.4k
Xiaozhao Fang China 25 1.8k 0.9× 233 0.3× 968 1.5× 615 1.7× 91 0.5× 83 2.5k

Countries citing papers authored by Juwei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Juwei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juwei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Juwei Lu. A scholar is included among the top collaborators of Juwei Lu 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 Juwei Lu. Juwei Lu 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.
Lu, Juwei, et al.. (2025). IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement. 26694–26703.
2.
Ng, Pai Chet, Zhixiang Chi, Malcolm Yoke Hean Low, et al.. (2024). Hyperspectral Skin Vision Challenge: Can Your Camera See Beyond Your Skin?. Figshare. 59–60. 3 indexed citations
3.
Liu, Jianzhuang, Bin Shao, Songcen Xu, et al.. (2023). CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval. 18983–18992. 20 indexed citations
4.
Dai, Peng, et al.. (2022). Decompose the Sounds and Pixels, Recompose the Events. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 2144–2152. 3 indexed citations
5.
Ng, Pai Chet, Yannick Verdié, Juwei Lu, & Konstantinos N. Plataniotis. (2022). Efficient Hyperspectral Reconstruction from RGB Images with Line-Pixel Deconvolution. Figshare. 1–5. 1 indexed citations
6.
Liang, Hanwen, et al.. (2022). Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1564–1573. 14 indexed citations
7.
Wong, Yongkang, Xiaofei Wu, Juwei Lu, et al.. (2021). Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11250–11260. 22 indexed citations
8.
Zhang, Liyan, et al.. (2016). Sub-event recognition and summarization for structured scenario photos. Multimedia Tools and Applications. 75(15). 9295–9314. 2 indexed citations
9.
Zhang, Liyan, et al.. (2014). A collaborative approach for face verification and attributes refinement. Information Sciences. 281. 620–634. 4 indexed citations
10.
Lu, Juwei & Konstantinos N. Plataniotis. (2009). On conversion from color to gray-scale images for face detection. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 8 indexed citations
11.
Wang, Jie, Konstantinos N. Plataniotis, Juwei Lu, & A.N. Venetsanopoulos. (2007). Kernel quadratic discriminant analysis for small sample size problem. Pattern Recognition. 41(5). 1528–1538. 26 indexed citations
12.
Lu, Juwei, et al.. (2006). Restoration of Motion Blurred Images. 3. 1193–1196. 3 indexed citations
13.
Lu, Juwei, Konstantinos N. Plataniotis, A.N. Venetsanopoulos, & Jie Wang. (2005). An efficient kernel discriminant analysis method. Pattern Recognition. 38(10). 1788–1790. 29 indexed citations
14.
Plataniotis, Konstantinos N., A.N. Venetsanopoulos, & Juwei Lu. (2004). Discriminant learning for face recognition. Food & Function. 15(23). 11667–11685. 12 indexed citations
15.
Lu, Juwei, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2004). Regularized D-LDA for face recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 3. III–125. 4 indexed citations
16.
Lu, Juwei, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2003). Face recognition using LDA-based algorithms. IEEE Transactions on Neural Networks. 14(1). 195–200. 548 indexed citations breakdown →
17.
Lu, Juwei, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2003). Face recognition using kernel direct discriminant analysis algorithms. IEEE Transactions on Neural Networks. 14(1). 117–126. 424 indexed citations
18.
Er, Meng Joo, et al.. (2002). Face recognition with radial basis function (RBF) neural networks. IEEE Transactions on Neural Networks. 13(3). 697–710. 478 indexed citations breakdown →
19.
Lu, Juwei, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2002). Face recognition using feature optimization and ν-support vector learning. 373–382. 12 indexed citations
20.
Lu, Juwei, et al.. (1999). Face recognition using the nearest feature line method. IEEE Transactions on Neural Networks. 10(2). 439–443. 385 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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