Luxin Yan

4.0k total citations
117 papers, 3.0k citations indexed

About

Luxin Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Luxin Yan has authored 117 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 36 papers in Media Technology and 25 papers in Aerospace Engineering. Recurrent topics in Luxin Yan's work include Image and Signal Denoising Methods (47 papers), Advanced Image Processing Techniques (32 papers) and Advanced Image Fusion Techniques (23 papers). Luxin Yan is often cited by papers focused on Image and Signal Denoising Methods (47 papers), Advanced Image Processing Techniques (32 papers) and Advanced Image Fusion Techniques (23 papers). Luxin Yan collaborates with scholars based in China, United States and United Arab Emirates. Luxin Yan's co-authors include Yi Chang, Sheng Zhong, Houzhang Fang, Tianxu Zhang, Hai Liu, Tao Wu, Xi-Le Zhao, Hai Liu, Zhijun Zhang and Sannyuya Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Luxin Yan

112 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luxin Yan China 29 2.2k 1.4k 521 451 266 117 3.0k
Tianxu Zhang China 29 1.3k 0.6× 909 0.6× 637 1.2× 133 0.3× 240 0.9× 227 2.6k
Houzhang Fang China 22 1.1k 0.5× 901 0.6× 344 0.7× 298 0.7× 148 0.6× 49 1.7k
Glenn Healey United States 23 2.0k 0.9× 1.3k 0.9× 293 0.6× 202 0.4× 218 0.8× 144 3.1k
Yongqiang Zhao China 34 2.3k 1.0× 2.5k 1.7× 370 0.7× 598 1.3× 592 2.2× 167 3.8k
Sheng Zhong China 25 1.4k 0.6× 908 0.6× 280 0.5× 296 0.7× 428 1.6× 84 2.1k
Jun Huang China 30 2.3k 1.0× 3.2k 2.2× 1.3k 2.5× 255 0.6× 355 1.3× 123 4.7k
Kiriakos N. Kutulakos Canada 34 3.5k 1.6× 814 0.6× 845 1.6× 504 1.1× 452 1.7× 92 4.5k
Jie Li China 33 1.9k 0.9× 498 0.3× 733 1.4× 387 0.9× 363 1.4× 177 3.5k
Β.N. Chatterji India 22 2.4k 1.1× 651 0.5× 392 0.8× 155 0.3× 146 0.5× 104 3.4k
Renwei Dian China 21 2.1k 1.0× 2.5k 1.7× 219 0.4× 279 0.6× 186 0.7× 47 3.0k

Countries citing papers authored by Luxin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Luxin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luxin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Luxin Yan. A scholar is included among the top collaborators of Luxin Yan 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 Luxin Yan. Luxin Yan 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.
Zhou, Hui, et al.. (2025). Consistent Learning of Sparse Background Features for Infrared Small-Target Labeling. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 1 indexed citations
2.
Zhang, Xinyue, Jiahuan Zhou, Luxin Yan, Sheng Zhong, & Xu Zou. (2025). Hunt Camouflaged Objects via Revealing Mutation Regions. IEEE Transactions on Information Forensics and Security. 20. 1836–1851.
3.
Chang, Yi, et al.. (2025). NER-Net+: Seeing Motion at Nighttime With an Event Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4768–4786. 2 indexed citations
4.
Fang, Houzhang, et al.. (2024). SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22. 10 indexed citations
5.
Zhong, Sheng, et al.. (2024). Catenary Insulator Defect Detection: A Dataset and an Unsupervised Baseline. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 4 indexed citations
6.
Zhao, Xiangyun, Jiahuan Zhou, Yuxin Peng, et al.. (2024). I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4262–4279. 2 indexed citations
7.
Fang, Houzhang, Chenxing Wu, Xiaolin Wang, et al.. (2024). Online Infrared UAV Target Tracking With Enhanced Context-Awareness and Pixel-Wise Attention Modulation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 6 indexed citations
8.
Zhong, Sheng, et al.. (2024). Make Lossy Compression Meaningful for Low-Light Images. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8236–8245. 2 indexed citations
9.
Chang, Yi, Yun Guo, Chang‐Feng Yu, et al.. (2023). Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2638–2657. 16 indexed citations
10.
Zhu, Lanxin, Zhaofei Wang, Meng Zhang, et al.. (2023). Video-rate 3D imaging of living cells using Fourier view-channel-depth light field microscopy. Communications Biology. 6(1). 1259–1259. 8 indexed citations
11.
Chang, Yi, et al.. (2023). Direction and Residual Awareness Curriculum Learning Network for Rain Streaks Removal. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8414–8428. 9 indexed citations
12.
Fang, Houzhang, et al.. (2023). Differentiated Attention Guided Network Over Hierarchical and Aggregated Features for Intelligent UAV Surveillance. IEEE Transactions on Industrial Informatics. 19(9). 9909–9920. 28 indexed citations
13.
Fang, Houzhang, et al.. (2021). Infrared Small UAV Target Detection Based on Residual Image Prediction via Global and Local Dilated Residual Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 63 indexed citations
14.
Li, Yi, et al.. (2020). Category-Aware Aircraft Landmark Detection. IEEE Signal Processing Letters. 28. 61–65. 5 indexed citations
15.
Chang, Yi, Luxin Yan, Xi-Le Zhao, et al.. (2020). Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration. IEEE Transactions on Cybernetics. 50(11). 4558–4572. 148 indexed citations
16.
Chang, Yi, Meiya Chen, Luxin Yan, et al.. (2019). Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2880–2897. 74 indexed citations
17.
Yan, Luxin, Hai Liu, Li‐Qun Chen, et al.. (2013). Parametric semi-blind deconvolution algorithm with Huber–Markov regularization for passive millimeter-wave images. Journal of Modern Optics. 60(12). 970–982. 12 indexed citations
18.
Fang, Houzhang, et al.. (2013). Blind Poissonian images deconvolution with framelet regularization. Optics Letters. 38(4). 389–389. 33 indexed citations
19.
Zhang, Tianxu, et al.. (2012). Saliency model for object detection: searching for novel items in the scene. Optics Letters. 37(9). 1580–1580. 8 indexed citations
20.
Zhang, Tianxu, Wei Zheng, & Luxin Yan. (2007). New Dynamic Reconfiguration Technique in Image Processing System. Jisuanji gongcheng.

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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