Rui Yao

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

About

Rui Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Rui Yao has authored 171 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 31 papers in Media Technology. Recurrent topics in Rui Yao's work include Video Surveillance and Tracking Methods (43 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Remote-Sensing Image Classification (23 papers). Rui Yao is often cited by papers focused on Video Surveillance and Tracking Methods (43 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Remote-Sensing Image Classification (23 papers). Rui Yao collaborates with scholars based in China, Canada and Australia. Rui Yao's co-authors include Jiaqi Zhao, Yong Zhou, Guosheng Lin, Bing Liu, Yong Xue, Qinfeng Shi, Xin He, Di Zhang, Shixiong Xia and Yanning Zhang and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Rui Yao

156 papers receiving 2.7k citations

Hit Papers

Swin Transformer Embedding UNet for Remote Sensing Image ... 2022 2026 2023 2024 2022 100 200 300
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. Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation
    2022 343 citations Xin He, Yong Zhou et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Yao China 25 1.6k 648 535 281 223 171 2.8k
Yunpeng Chen China 22 2.6k 1.6× 473 0.7× 1.1k 2.1× 200 0.7× 253 1.1× 71 3.8k
Tao Lei China 31 1.4k 0.8× 1.1k 1.7× 906 1.7× 149 0.5× 182 0.8× 111 3.8k
Guangyi Chen China 28 1.6k 1.0× 736 1.1× 564 1.1× 87 0.3× 173 0.8× 93 2.8k
Haopeng Zhang China 31 1.2k 0.8× 619 1.0× 726 1.4× 479 1.7× 256 1.1× 189 2.9k
Huimin Huang China 16 1.0k 0.6× 228 0.4× 649 1.2× 196 0.7× 95 0.4× 71 2.5k
Zhili Zhang China 21 526 0.3× 762 1.2× 263 0.5× 157 0.6× 170 0.8× 78 2.0k

Countries citing papers authored by Rui Yao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yao. A scholar is included among the top collaborators of Rui Yao 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 Rui Yao. Rui Yao 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.
Yao, Rui, Anqi Zhang, Yong Zhou, et al.. (2025). Adversarial Geometric Attacks for 3D Point Cloud Object Tracking. IEEE Transactions on Multimedia. 27. 3144–3157.
2.
Yao, Rui, Yuhong Zhang, Yong Zhou, et al.. (2025). Historical Object-Aware Prompt Learning for Universal Hyperspectral Object Tracking. ACM Transactions on Multimedia Computing Communications and Applications. 21(7). 1–20.
3.
Yao, Rui, Lu Zhang, Yong Zhou, et al.. (2024). Hyperspectral Object Tracking With Dual-Stream Prompt. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 5 indexed citations
4.
Yao, Rui, et al.. (2024). Dual-Stream Edge-Target Learning Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations
5.
Du, Wenliang, Yang Gu, Jiaqi Zhao, et al.. (2024). A Mamba-Diffusion Framework for Multimodal Remote Sensing Image Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 7 indexed citations
6.
Zhu, Hancheng, Zhiwen Shao, Rui Yao, et al.. (2024). Attribute-Driven Multimodal Hierarchical Prompts for Image Aesthetic Quality Assessment. 2399–2408.
7.
Zhao, Jiaqi, et al.. (2023). Context-aware and part alignment for visible-infrared person re-identification. Image and Vision Computing. 138. 104791–104791. 10 indexed citations
8.
Yao, Rui, et al.. (2023). Unsupervised cycle-consistent adversarial attacks for visual object tracking. Displays. 80. 102532–102532. 2 indexed citations
9.
Yao, Rui, et al.. (2023). Visible and Infrared Object Tracking via Convolution-Transformer Network With Joint Multimodal Feature Learning. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations
10.
Li, Shenglan, Rui Yao, Yong Zhou, et al.. (2023). Unsupervised RGB-T object tracking with attentional multi-modal feature fusion. Multimedia Tools and Applications. 82(15). 23595–23613. 4 indexed citations
11.
Zhou, Yong, Sifan Wang, Jiaqi Zhao, Hancheng Zhu, & Rui Yao. (2022). Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations
12.
Zhou, Yong, Silin Chen, Jiaqi Zhao, et al.. (2022). CLT-Det: Correlation Learning Based on Transformer for Detecting Dense Objects in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 33 indexed citations
13.
He, Xin, Yong Zhou, Jiaqi Zhao, et al.. (2022). Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 343 indexed citations breakdown →
14.
Zhang, Chi, et al.. (2021). CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence. IEEE Transactions on Image Processing. 30. 5652–5664. 20 indexed citations
15.
Yao, Rui, et al.. (2019). Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Transactions on Image Processing. 29. 277–288. 9 indexed citations
16.
Wang, Shi, Rui Yao, Yikun Zhang, Qingnan Jiang, & Changbin Zhang. (2019). Data augmentation of random grid-hiding for video object segmentation. Multimedia Tools and Applications. 78(16). 23029–23048. 2 indexed citations
17.
Liu, Fayao, et al.. (2018). Local fusion networks with chained residual pooling for video action recognition. Image and Vision Computing. 81. 34–41. 8 indexed citations
18.
Yao, Rui, Guosheng Lin, Qinfeng Shi, & Damith C. Ranasinghe. (2018). Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognition. 78. 252–266. 76 indexed citations
19.
Yao, Rui, Shixiong Xia, & Yong Zhou. (2014). Robust tracking via online Max-Margin structural learning with approximate sparse intersection kernel. Neurocomputing. 157. 344–355. 1 indexed citations
20.
Yao, Rui. (2007). The study about development of ideas and creative thinking. 5. 139–144.

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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