Mandi Luo

424 total citations
13 papers, 259 citations indexed

About

Mandi Luo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Mandi Luo has authored 13 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Mandi Luo's work include Face recognition and analysis (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Face and Expression Recognition (4 papers). Mandi Luo is often cited by papers focused on Face recognition and analysis (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Face and Expression Recognition (4 papers). Mandi Luo collaborates with scholars based in China, United States and South Korea. Mandi Luo's co-authors include Ran He, Aihua Zheng, Hao Zhu, Rui Wang, Xiaoyu Zhang, Jie Cao, Huaibo Huang, Chaoyou Fu, Jian Liang and Ziming Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Mandi Luo

11 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mandi Luo China 8 189 108 48 22 17 13 259
Ankan Bansal United States 5 212 1.1× 99 0.9× 38 0.8× 9 0.4× 19 1.1× 6 279
Chieh-Chi Kao United States 10 190 1.0× 120 1.1× 88 1.8× 23 1.0× 47 2.8× 26 306
Sei Naito Japan 9 254 1.3× 73 0.7× 24 0.5× 15 0.7× 12 0.7× 67 300
Bernhard Fröba Germany 5 370 2.0× 121 1.1× 37 0.8× 42 1.9× 15 0.9× 7 417
Anurag Chowdhury United States 8 109 0.6× 154 1.4× 97 2.0× 14 0.6× 8 0.5× 13 271
Shuang Ma United States 9 176 0.9× 58 0.5× 96 2.0× 8 0.4× 10 0.6× 16 247
Yake Wei China 5 140 0.7× 83 0.8× 118 2.5× 10 0.5× 13 0.8× 8 271
Vivek Kshirsagar India 3 179 0.9× 64 0.6× 35 0.7× 16 0.7× 6 0.4× 8 226
Chaochao Lu China 5 182 1.0× 70 0.6× 51 1.1× 5 0.2× 8 0.5× 7 244
Xiaohu Shao China 6 282 1.5× 124 1.1× 30 0.6× 13 0.6× 5 0.3× 17 336

Countries citing papers authored by Mandi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Mandi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Mandi Luo. A scholar is included among the top collaborators of Mandi Luo 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 Mandi Luo. Mandi Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Luo, Mandi, et al.. (2022). Memory-Modulated Transformer Network for Heterogeneous Face Recognition. IEEE Transactions on Information Forensics and Security. 17. 2095–2109. 32 indexed citations
3.
Cao, Jie, et al.. (2022). ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–16. 9 indexed citations
4.
Huang, Huaibo, Mandi Luo, & Ran He. (2022). Memory Uncertainty Learning for Real-World Single Image Deraining. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3446–3460. 16 indexed citations
5.
Yang, Ziming, Jian Liang, Chaoyou Fu, Mandi Luo, & Xiaoyu Zhang. (2022). Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement. IEEE Transactions on Information Forensics and Security. 17. 1344–1358. 19 indexed citations
6.
Luo, Mandi, Jie Cao, & Ran He. (2022). Order-aware Human Interaction Manipulation. Proceedings of the 30th ACM International Conference on Multimedia. 2691–2699.
7.
Zhu, Hao, Mandi Luo, Rui Wang, Aihua Zheng, & Ran He. (2021). Deep Audio-visual Learning: A Survey. International Journal of Automation and Computing. 18(3). 351–376. 97 indexed citations
8.
Luo, Mandi, et al.. (2021). FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition. IEEE Transactions on Information Forensics and Security. 16. 2341–2355. 43 indexed citations
9.
Luo, Mandi, et al.. (2021). Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search. IEEE Transactions on Information Forensics and Security. 16. 5003–5017. 10 indexed citations
10.
Zheng, Aihua, et al.. (2021). Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. 3682–3689. 4 indexed citations
11.
Fu, Chaoyou, et al.. (2021). Self-Augmented Heterogeneous Face Recognition. 1–8. 5 indexed citations
12.
Luo, Mandi, et al.. (2021). Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. 2. 4520–4527. 2 indexed citations
13.
Luo, Mandi, et al.. (2020). A lowlight image enhancement method learning from both paired and unpaired data by adversarial training. Neurocomputing. 433. 83–95. 22 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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2026