Di Yuan

2.2k total citations · 2 hit papers
56 papers, 1.6k citations indexed

About

Di Yuan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Di Yuan has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Di Yuan's work include Video Surveillance and Tracking Methods (38 papers), Infrared Target Detection Methodologies (17 papers) and Fire Detection and Safety Systems (9 papers). Di Yuan is often cited by papers focused on Video Surveillance and Tracking Methods (38 papers), Infrared Target Detection Methodologies (17 papers) and Fire Detection and Safety Systems (9 papers). Di Yuan collaborates with scholars based in China, Australia and Saudi Arabia. Di Yuan's co-authors include Zhenyu He, Qiao Liu, Xiaojun Chang, Xin Li, Nana Fan, Xiu Shu, Po-Yao Huang, Zhihui Li, Hongpeng Wang and Peng Gao and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Di Yuan

52 papers receiving 1.6k citations

Hit Papers

Self-Supervised Deep Correlation Tracking 2020 2026 2022 2024 2020 2022 50 100 150 200
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.

  1. Self-Supervised Deep Correlation Tracking
    2020 231 citations Di Yuan, Xiaojun Chang et al. profile →
  2. Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking
    2022 127 citations Di Yuan, Xiaojun Chang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Yuan China 22 1.3k 529 301 210 162 56 1.6k
Qiao Liu China 22 1.5k 1.1× 647 1.2× 318 1.1× 211 1.0× 209 1.3× 63 1.8k
Peng Chu China 13 1.6k 1.2× 478 0.9× 305 1.0× 263 1.3× 99 0.6× 34 1.9k
Luca Bertinetto United Kingdom 7 2.1k 1.6× 558 1.1× 505 1.7× 234 1.1× 87 0.5× 8 2.3k
Xingping Dong China 20 1.6k 1.2× 211 0.4× 147 0.5× 296 1.4× 177 1.1× 30 1.9k
Junseok Kwon South Korea 16 1.8k 1.4× 292 0.6× 156 0.5× 212 1.0× 126 0.8× 81 1.9k
Xiaokang Yang China 9 2.4k 1.8× 691 1.3× 574 1.9× 141 0.7× 110 0.7× 12 2.5k

Countries citing papers authored by Di Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Di Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Di Yuan. A scholar is included among the top collaborators of Di Yuan 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 Di Yuan. Di Yuan 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.
Liu, Qiao, et al.. (2025). HCMNet: A Hybrid CNN-Mamba Network for Breast Ultrasound Segmentation for Consumer Assisted Diagnosis. IEEE Transactions on Consumer Electronics. 71(3). 8045–8054. 3 indexed citations
2.
3.
Yuan, Di, et al.. (2025). Transformer-Based RGBT Tracking With Spatio-Temporal Information Fusion. IEEE Sensors Journal. 25(13). 25386–25396. 1 indexed citations
4.
Liu, Qiao, et al.. (2025). Spatial Context-Aware UAV Target Tracking for Consumer Electronics. IEEE Transactions on Consumer Electronics. 72(1). 546–557.
5.
Liu, Qiao, et al.. (2025). Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning. Sensors. 25(15). 4621–4621.
6.
Li, Zhihui, et al.. (2025). An active learning model based on image similarity for skin lesion segmentation. Neurocomputing. 630. 129690–129690. 3 indexed citations
7.
Huang, Feng, et al.. (2025). Uncertainty and diversity-based active learning for UAV tracking. Neurocomputing. 639. 130265–130265. 2 indexed citations
8.
Yuan, Di, et al.. (2025). Progressive Domain Adaptation for Thermal Infrared Tracking. Electronics. 14(1). 162–162. 1 indexed citations
9.
Li, Lu, et al.. (2024). CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 8 indexed citations
10.
Yuan, Di, Xiu Shu, Zhihui Li, et al.. (2024). A Comprehensive Review of RGBT Tracking. IEEE Transactions on Instrumentation and Measurement. 73. 1–23. 12 indexed citations
11.
Tao, Ming, et al.. (2024). Overexposed infrared and visible image fusion benchmark and baseline. Expert Systems with Applications. 266. 126024–126024. 12 indexed citations
12.
Huang, Feng, et al.. (2024). Search region updating with hierarchical feature fusion for accurate thermal infrared tracking. Journal of the Franklin Institute. 361(18). 107332–107332. 1 indexed citations
13.
Yuan, Di, et al.. (2024). Hierarchical Attention Siamese Network for Thermal Infrared Target Tracking. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 18 indexed citations
14.
Yuan, Di, Xiu Shu, Qiao Liu, et al.. (2023). Thermal Infrared Target Tracking: A Comprehensive Review. IEEE Transactions on Instrumentation and Measurement. 73. 1–19. 33 indexed citations
15.
Yuan, Di, Xiaojun Chang, Qiao Liu, et al.. (2023). Active Learning for Deep Visual Tracking. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13284–13296. 91 indexed citations
16.
Yuan, Di, Xiu Shu, & Qiao Liu. (2022). Recent Advances on Thermal Infrared Target Tracking: A Survey. 1–6. 2 indexed citations
17.
Yuan, Di, Xiu Shu, Qiao Liu, Xinming Zhang, & Zhenyu He. (2022). Robust thermal infrared tracking via an adaptively multi-feature fusion model. Neural Computing and Applications. 35(4). 3423–3434. 41 indexed citations
18.
Liu, Qiao, Xin Li, Zhenyu He, et al.. (2020). Multi-Task Driven Feature Models for Thermal Infrared Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11604–11611. 60 indexed citations
19.
Yuan, Di, et al.. (2018). Particle filter re-detection for visual tracking via correlation filters. Multimedia Tools and Applications. 78(11). 14277–14301. 45 indexed citations
20.
Liu, Qiao, Di Yuan, & Zhenyu He. (2017). Thermal infrared object tracking via Siamese convolutional neural networks. 1–6. 9 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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