Cuiling Lan

10.3k total citations · 7 hit papers
62 papers, 5.1k citations indexed

About

Cuiling Lan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cuiling Lan has authored 62 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Cuiling Lan's work include Human Pose and Action Recognition (19 papers), Video Surveillance and Tracking Methods (14 papers) and Multimodal Machine Learning Applications (14 papers). Cuiling Lan is often cited by papers focused on Human Pose and Action Recognition (19 papers), Video Surveillance and Tracking Methods (14 papers) and Multimodal Machine Learning Applications (14 papers). Cuiling Lan collaborates with scholars based in China, United States and United Kingdom. Cuiling Lan's co-authors include Wenjun Zeng, Junliang Xing, Zhibo Chen, Xin Jin, Sijie Song, Jiaying Liu, Zhizheng Zhang, Jianru Xue, Nanning Zheng and Pengfei Zhang 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

Cuiling Lan

60 papers receiving 5.0k citations

Hit Papers

An End-to-End Spatio-Temporal Attention Model for Human A... 2016 2026 2019 2022 2017 2016 2022 2020 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuiling Lan China 27 4.1k 2.0k 1.8k 715 276 62 5.1k
Yifan Zhang China 25 4.4k 1.1× 1.9k 0.9× 1.8k 1.0× 1.0k 1.4× 249 0.9× 99 5.7k
Limin Wang China 44 5.7k 1.4× 2.9k 1.4× 1.2k 0.7× 626 0.9× 211 0.8× 144 6.8k
Yuanjun Xiong Hong Kong 18 5.1k 1.2× 3.2k 1.6× 1.4k 0.8× 764 1.1× 269 1.0× 34 6.7k
Junliang Xing China 37 7.2k 1.8× 2.0k 1.0× 1.7k 1.0× 786 1.1× 509 1.8× 152 8.1k
Sanketh Shetty France 4 3.7k 0.9× 2.0k 1.0× 760 0.4× 444 0.6× 268 1.0× 6 4.8k
Lorenzo Torresani United States 30 4.8k 1.2× 2.3k 1.1× 698 0.4× 428 0.6× 411 1.5× 77 6.1k
George Toderici United States 21 6.2k 1.5× 2.8k 1.4× 1.1k 0.6× 599 0.8× 850 3.1× 28 7.6k
Greg Mori Canada 34 3.2k 0.8× 1.6k 0.8× 642 0.4× 353 0.5× 136 0.5× 102 4.0k
Xiaopeng Hong China 35 3.3k 0.8× 1.7k 0.9× 630 0.4× 425 0.6× 494 1.8× 146 4.8k

Countries citing papers authored by Cuiling Lan

Since Specialization
Citations

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

Fields of papers citing papers by Cuiling Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiling Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiling Lan. A scholar is included among the top collaborators of Cuiling Lan 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 Cuiling Lan. Cuiling Lan 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.
Jin, Xin, et al.. (2025). Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey. International Journal of Computer Vision. 133(11). 8078–8108. 5 indexed citations
2.
Chen, Hongruixuan, Jian Song, Junjue Wang, et al.. (2025). Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response. Earth system science data. 17(11). 6217–6253. 5 indexed citations
3.
Li, Xin, Cuiling Lan, Guoqiang Wei, & Zhibo Chen. (2024). Semantic-Aware Message Broadcasting for Efficient Unsupervised Domain Adaptation. IEEE Transactions on Image Processing. 33. 5340–5353. 1 indexed citations
4.
Chen, Hongruixuan, et al.. (2024). ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22. 17 indexed citations
5.
Zhang, Xiaoyi, Zhizheng Zhang, Wenxuan Xie, et al.. (2024). Text Grouping Adapter: Adapting Pre-Trained Text Detector for Layout Analysis. 28150–28159. 2 indexed citations
6.
Lan, Cuiling, Yan Lü, Tao Yang, & Nanning Zheng. (2024). Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement. 82465–82492.
7.
Wei, Guoqiang, et al.. (2023). Active Token Mixer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2759–2767. 13 indexed citations
8.
Lin, Shiqi, Zhizheng Zhang, Zhipeng Huang, et al.. (2023). Deep Frequency Filtering for Domain Generalization. 11797–11807. 41 indexed citations
9.
Wang, Jindong, Cuiling Lan, Chang Liu, et al.. (2022). Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Transactions on Knowledge and Data Engineering. 1–1. 596 indexed citations breakdown →
10.
Jin, Xin, Cuiling Lan, Wenjun Zeng, & Zhibo Chen. (2021). Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9154–9163. 15 indexed citations
11.
Wei, Guoqiang, Cuiling Lan, Wenjun Zeng, & Zhibo Chen. (2021). MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation. 16638–16648. 82 indexed citations
12.
Zhang, Zhizheng, Cuiling Lan, Wenjun Zeng, Xin Jin, & Zhibo Chen. (2020). Relation-Aware Global Attention for Person Re-Identification. 3183–3192. 451 indexed citations breakdown →
13.
Jin, Xin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, & Li Zhang. (2020). Style Normalization and Restitution for Generalizable Person Re-Identification. 3140–3149. 279 indexed citations breakdown →
14.
Zhang, Zhizheng, Cuiling Lan, Wenjun Zeng, & Zhibo Chen. (2020). Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification. 10404–10413. 86 indexed citations
15.
Liao, Wentong, Cuiling Lan, Wenjun Zeng, Michael Ying Yang, & Bodo Rosenhahn. (2019). Exploring the Semantics for Visual Relationship Detection.. arXiv (Cornell University). 1–13. 3 indexed citations
16.
Lan, Cuiling, Chong Luo, Wenjun Zeng, & Feng Wu. (2017). A Practical Hybrid Digital-Analog Scheme for Wireless Video Transmission. IEEE Transactions on Circuits and Systems for Video Technology. 28(7). 1634–1647. 7 indexed citations
17.
Sun, Ke, Cuiling Lan, Junliang Xing, et al.. (2017). Human Pose Estimation Using Global and Local Normalization. 5600–5608. 50 indexed citations
18.
Lan, Cuiling, Jizheng Xu, Wenjun Zeng, & Feng Wu. (2015). Compound image compression using lossless and lossy LZMA in HEVC. 1–6. 7 indexed citations
19.
Lan, Cuiling, Guangming Shi, & Feng Wu. (2009). Compress Compound Images in H.264/MPGE-4 AVC by Exploiting Spatial Correlation. IEEE Transactions on Image Processing. 19(4). 946–957. 58 indexed citations
20.
Lan, Cuiling, Feng Wu, & Guangming Shi. (2009). Compress compound images in H.264/MPEG-4 AVC by fully exploiting spatial correlation. 2818–2821. 4 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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