Yan Lu

4.8k total citations · 1 hit paper
135 papers, 2.8k citations indexed

About

Yan Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yan Lu has authored 135 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computer Vision and Pattern Recognition, 62 papers in Signal Processing and 21 papers in Artificial Intelligence. Recurrent topics in Yan Lu's work include Video Coding and Compression Technologies (45 papers), Advanced Vision and Imaging (34 papers) and Advanced Data Compression Techniques (31 papers). Yan Lu is often cited by papers focused on Video Coding and Compression Technologies (45 papers), Advanced Vision and Imaging (34 papers) and Advanced Data Compression Techniques (31 papers). Yan Lu collaborates with scholars based in China, United States and Hong Kong. Yan Lu's co-authors include Minsu Cho, Shipeng Li, Jinglu Wang, Xun Guo, Huifeng Shen, Zengyi Qin, Bin Li, Jiahao Li, Feng Wu and Feng Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Medicine.

In The Last Decade

Yan Lu

122 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Relational Knowledge Distillation

2019 894 citations Yan Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Lu China	25	2.1k	763	689	213	198	135	2.8k
Thomas Sikora Germany	25	2.9k 1.4×	631 0.8×	909 1.3×	222 1.0×	297 1.5×	205	3.5k
Ebroul Izquierdo United Kingdom	25	2.0k 1.0×	345 0.5×	713 1.0×	141 0.7×	202 1.0×	320	2.7k
Sen-ching S. Cheung United States	25	1.9k 0.9×	448 0.6×	239 0.3×	241 1.1×	142 0.7×	105	2.6k
Jimin Xiao China	25	1.6k 0.7×	620 0.8×	286 0.4×	87 0.4×	149 0.8×	110	2.0k
Chu‐Song Chen Taiwan	29	3.5k 1.7×	766 1.0×	472 0.7×	477 2.2×	348 1.8×	136	4.1k
Giulio Mori Italy	18	2.0k 0.9×	698 0.9×	307 0.4×	113 0.5×	138 0.7×	30	2.8k
Christophoros Nikou Greece	23	1.7k 0.8×	1.0k 1.4×	318 0.5×	106 0.5×	234 1.2×	107	2.4k
Xiaoyi Feng China	23	1.8k 0.8×	500 0.7×	855 1.2×	130 0.6×	270 1.4×	160	2.7k
Víctor Sánchez United Kingdom	22	1.2k 0.6×	531 0.7×	398 0.6×	83 0.4×	92 0.5×	128	1.8k
Jean‐Luc Dugelay France	29	3.6k 1.7×	573 0.8×	1.2k 1.7×	72 0.3×	245 1.2×	226	4.1k

Countries citing papers authored by Yan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Yaqi, Di Huang, Bin Liu, et al.. (2024). MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7368–7376. 25 indexed citations

2.

Peng, Xiulian, et al.. (2024). Universal Speech Token Learning via Low-Bitrate Neural Codec and Pretrained Representations. IEEE Journal of Selected Topics in Signal Processing. 18(8). 1477–1489.

3.

Lu, Yan, et al.. (2024). Intelligent Prediction of Network Security Situations based on Deep Reinforcement Learning Algorithm. Scalable Computing Practice and Experience. 25(1). 147–155.

4.

Peng, Xiulian, et al.. (2024). Dual-Branch Guidance Encoder for Robust Acoustic Echo Suppression. IEEE Transactions on Audio Speech and Language Processing. 33. 627–639.

5.

Peng, Xiulian, et al.. (2023). Latent-Domain Predictive Neural Speech Coding. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2111–2123. 8 indexed citations

6.

Peng, Xiulian, et al.. (2023). Contrast-PLC: Contrastive Learning for Packet Loss Concealment. 1–5. 4 indexed citations

7.

Wang, Jinglu, et al.. (2022). Video Instance Segmentation by Instance Flow Assembly. IEEE Transactions on Multimedia. 25. 7469–7479. 7 indexed citations

8.

Gao, Jin, Yan Lu, Xiaojuan Qi, et al.. (2022). Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1881–1897. 7 indexed citations

9.

Wang, Zheng, et al.. (2021). Deep learning for tracing esophageal motility function over time. Computer Methods and Programs in Biomedicine. 207. 106212–106212. 7 indexed citations

10.

Lu, Yan, et al.. (2019). Dhff: Robust Multi-Scale Person Search by Dynamic Hierarchical Feature Fusion. 3935–3939. 6 indexed citations

11.

Yang, Siyu, Bin Li, You Song, Jizheng Xu, & Yan Lu. (2018). A Hardware-Accelerated System for High Resolution Real-Time Screen Sharing. IEEE Transactions on Circuits and Systems for Video Technology. 29(3). 881–891. 8 indexed citations

12.

Guo, Xun, Yan Lu, Yifeng He, et al.. (2014). A novel cloud gaming framework using joint video and graphics streaming. 1–6. 15 indexed citations

13.

Zhang, Tao, Xun Guo, Yan Lu, et al.. (2013). Arbitrary-sized motion detection in screen video coding. 1943–1947. 1 indexed citations

14.

Fu, Jingjing, et al.. (2012). Kinect-Like Depth Compression with 2D+T Prediction. 599–604. 4 indexed citations

15.

Rasmussen, Christopher, et al.. (2011). Integrating stereo structure for omnidirectional trail following. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations

16.

Lu, Yan, et al.. (2010). ReDi. 759–762. 3 indexed citations

17.

Lu, Yan. (2009). The Application of Harris Corner Detection in Color Imagine.

18.

Su, Li, Yan Lu, Feng Wu, Shipeng Li, & Wen Gao. (2009). Complexity-Constrained H.264 Video Encoding. IEEE Transactions on Circuits and Systems for Video Technology. 19(4). 477–490. 45 indexed citations

19.

Lu, Yan, et al.. (2004). EWTRP: enhanced wireless token ring protocol for small-scale wireless ad hoc networks. 398–401 Vol.1. 6 indexed citations

20.

Ji, Xiangyang, Debin Zhao, Wen Gao, et al.. (2004). NEW BI-PREDICTION TECHNIQUES FOR B PICTURES CODING. 101–104. 8 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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