En Yu

522 total citations
15 papers, 303 citations indexed

About

En Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, En Yu has authored 15 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in En Yu's work include Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (3 papers) and Multimodal Machine Learning Applications (2 papers). En Yu is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (3 papers) and Multimodal Machine Learning Applications (2 papers). En Yu collaborates with scholars based in China, United States and Malaysia. En Yu's co-authors include Shoudong Han, Hongwei Wang, Zhuoling Li, Wenbing Tao, Sijia Chen, Jinrong Yang, Haoqian Wang, Songtao Liu, Liangliang Ren and Xiaoping Li and has published in prestigious journals such as Frontiers in Plant Science, Neurocomputing and IEEE Transactions on Multimedia.

In The Last Decade

En Yu

12 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
En Yu China 6 266 73 56 53 25 15 303
Caglayan Dicle United States 5 247 0.9× 48 0.7× 28 0.5× 72 1.4× 18 0.7× 6 292
Qinghao Meng China 6 177 0.7× 57 0.8× 22 0.4× 31 0.6× 13 0.5× 11 234
Asad A. Butt United States 4 202 0.8× 38 0.5× 18 0.3× 64 1.2× 14 0.6× 7 222
Zhiqun He China 8 300 1.1× 52 0.7× 63 1.1× 132 2.5× 15 0.6× 14 331
Zijie Zhuang China 6 263 1.0× 26 0.4× 28 0.5× 48 0.9× 10 0.4× 11 281
Kuan-Hui Lee United States 10 254 1.0× 71 1.0× 34 0.6× 26 0.5× 50 2.0× 15 298
Michael Del Rose Italy 8 327 1.2× 100 1.4× 67 1.2× 45 0.8× 34 1.4× 12 369
Matthieu Paul Switzerland 2 246 0.9× 82 1.1× 51 0.9× 26 0.5× 27 1.1× 2 286
Mark Keck United States 7 313 1.2× 162 2.2× 31 0.6× 34 0.6× 32 1.3× 11 361
Woonhyun Nam South Korea 5 369 1.4× 31 0.4× 29 0.5× 60 1.1× 12 0.5× 9 379

Countries citing papers authored by En Yu

Since Specialization
Citations

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

Fields of papers citing papers by En Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of En Yu

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

All Works

15 of 15 papers shown
1.
2.
Chen, Sijia, En Yu, & Wenbing Tao. (2025). Cross-View Referring Multi-Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 2204–2211. 1 indexed citations
3.
4.
Li, Zhuoling, Zheng Ge, Jinrong Yang, et al.. (2024). GroupLane: End-to-End 3D Lane Detection With Channel-Wise Grouping. IEEE Robotics and Automation Letters. 9(11). 10487–10494. 3 indexed citations
5.
Chen, Sijia, et al.. (2024). Delving into the Trajectory Long-tail Distribution for Muti-object Tracking. 19341–19351. 12 indexed citations
6.
Tee, Clarence Augustine TH, Sheng Li, En Yu, et al.. (2024). AI-based Image Processing Technique for Dielectrophoresis (DEP) in BioMEMs Applications. 112–115. 1 indexed citations
7.
Yu, En, et al.. (2024). Noise Optimized Conditional Diffusion for Domain Adaptation. 1729–1737. 4 indexed citations
8.
Yang, Jinrong, En Yu, Zeming Li, Xiaoping Li, & Wenbing Tao. (2024). QTrack: Embracing Quality Clues for Robust 3D Multi-Object Tracking. 4904–4911.
9.
Yu, En, Songtao Liu, Zhuoling Li, et al.. (2023). Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3304–3312. 6 indexed citations
10.
Han, Shoudong, et al.. (2023). ORT: Occlusion-robust for multi-object tracking. Fundamental Research. 5(3). 1214–1220. 3 indexed citations
11.
Ren, Liangliang, et al.. (2023). Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking. IEEE Robotics and Automation Letters. 8(4). 1935–1942. 7 indexed citations
12.
Yu, En, Zhuoling Li, & Shoudong Han. (2022). Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8824–8833. 39 indexed citations
13.
Yu, En, Zhuoling Li, Shoudong Han, & Hongwei Wang. (2022). RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation. IEEE Transactions on Multimedia. 25. 2686–2697. 118 indexed citations
14.
Li, Zhuoling, et al.. (2022). Efficient Few-Shot Classification via Contrastive Pretraining on Web Data. IEEE Transactions on Artificial Intelligence. 4(3). 522–533. 3 indexed citations
15.
Han, Shoudong, et al.. (2022). MAT: Motion-aware multi-object tracking. Neurocomputing. 476. 75–86. 106 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