Rui Yan

2.5k total citations · 1 hit paper
62 papers, 1.5k citations indexed

About

Rui Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Rui Yan has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Rui Yan's work include Human Pose and Action Recognition (28 papers), Multimodal Machine Learning Applications (19 papers) and Anomaly Detection Techniques and Applications (19 papers). Rui Yan is often cited by papers focused on Human Pose and Action Recognition (28 papers), Multimodal Machine Learning Applications (19 papers) and Anomaly Detection Techniques and Applications (19 papers). Rui Yan collaborates with scholars based in China, Singapore and United States. Rui Yan's co-authors include Xiangbo Shu, Jinhui Tang, Dongyan Zhao, Liyan Zhang, Zhenxin Fu, Qi Tian, Xiaoye Tan, Nanyun Peng, Yan Song and Jiawen Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Rui Yan

58 papers receiving 1.5k citations

Hit Papers

Expansion-Squeeze-Excitation Fusion Network for Elderly A... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Yan China 17 881 796 147 99 59 62 1.5k
Lai Wei China 19 360 0.4× 355 0.4× 87 0.6× 97 1.0× 47 0.8× 98 1.1k
Xiaodong Shi China 18 176 0.2× 623 0.8× 54 0.4× 147 1.5× 38 0.6× 112 1.1k
Lijuan Wang China 15 398 0.5× 363 0.5× 37 0.3× 71 0.7× 35 0.6× 46 910
Lifang Wu China 19 656 0.7× 307 0.4× 75 0.5× 167 1.7× 12 0.2× 142 1.2k
Dipak Kumar Basu India 20 838 1.0× 240 0.3× 87 0.6× 25 0.3× 55 0.9× 81 1.5k
Mohamed Roushdy Egypt 15 332 0.4× 386 0.5× 51 0.3× 82 0.8× 12 0.2× 76 910
Wenbin Li China 16 639 0.7× 707 0.9× 49 0.3× 34 0.3× 138 2.3× 66 1.3k
Jiawei Zhang China 14 483 0.5× 308 0.4× 59 0.4× 58 0.6× 5 0.1× 37 902
Meng Zhao China 17 274 0.3× 219 0.3× 72 0.5× 60 0.6× 9 0.2× 97 955
Meng Liu China 22 1.1k 1.2× 502 0.6× 144 1.0× 62 0.6× 5 0.1× 118 1.7k

Countries citing papers authored by Rui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yan. A scholar is included among the top collaborators of Rui Yan 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 Yan. Rui Yan 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.
Yan, Rui, et al.. (2025). Locality-aware Cross-modal Correspondence Learning for Dense Audio-Visual Events Detection. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.
2.
Marchetti, Dedalo, Kaiguang Zhu, Alessandro Piscini, et al.. (2024). Changes in the lithosphere, atmosphere, and ionosphere before and during the Mw = 7.7 Jamaica 2020 earthquake. Remote Sensing of Environment. 307. 114146–114146. 12 indexed citations
3.
Chen, Yuhan, et al.. (2024). Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning. 10728–10739. 3 indexed citations
4.
Huang, Peng, et al.. (2024). Appearance-Agnostic Representation Learning for Compositional Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3039–3053. 7 indexed citations
5.
Wang, Chunyan, Dong Zhang, & Rui Yan. (2024). Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11013–11025. 1 indexed citations
6.
Tang, Hao, et al.. (2024). DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines. 2379–2388. 1 indexed citations
7.
Yan, Rui, Mike Zheng Shou, Yixiao Ge, et al.. (2023). Video-Text Pre-training with Learned Regions for Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3100–3108. 2 indexed citations
8.
Song, Yan, et al.. (2023). Dilation-erosion for single-frame supervised temporal action localization. Multimedia Tools and Applications. 83(1). 2565–2587. 2 indexed citations
9.
Chen, Jingfei, et al.. (2023). The designation, synthesis, and affinity determination of affinity peptide for anthrax protective antigen. Chemical Biology & Drug Design. 102(4). 669–675. 1 indexed citations
10.
Shu, Xiangbo, et al.. (2023). Foreground/Background-Masked Interaction Learning for Spatio-temporal Action Detection. 2381–2390. 3 indexed citations
11.
Huang, Peng, et al.. (2023). Semantic-Disentangled Transformer With Noun-Verb Embedding for Compositional Action Recognition. IEEE Transactions on Image Processing. 33. 297–309. 6 indexed citations
12.
Shu, Xiangbo, et al.. (2023). Slowfast Diversity-aware Prototype Learning for Egocentric Action Recognition. 7549–7558. 2 indexed citations
13.
Tang, Hao, Jun Liu, Shuanglin Yan, et al.. (2023). M3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition. 1719–1728. 31 indexed citations
14.
Yan, Rui, Lingxi Xie, Xiangbo Shu, Liyan Zhang, & Jinhui Tang. (2023). Progressive Instance-Aware Feature Learning for Compositional Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10317–10330. 33 indexed citations
15.
Marchetti, Dedalo, Kaiguang Zhu, Rui Yan, et al.. (2022). Ionospheric Effects of Natural Hazards in Geophysics: From Single Examples to Statistical Studies Applied to M5.5+ Earthquakes. SHILAP Revista de lepidopterología. 34–34. 6 indexed citations
16.
Yan, Rui, et al.. (2021). Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7574–7588. 31 indexed citations
17.
Xia, Yingce, et al.. (2021). Stylized Dialogue Generation with Multi-Pass Dual Learning. Neural Information Processing Systems. 34. 11 indexed citations
18.
Yan, Rui, Lingxi Xie, Jinhui Tang, Xiangbo Shu, & Qi Tian. (2020). HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 6955–6968. 112 indexed citations
19.
Tang, Jinhui, Xiangbo Shu, Rui Yan, & Liyan Zhang. (2019). Coherence Constrained Graph LSTM for Group Activity Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 636–647. 179 indexed citations
20.
Yan, Rui & S. Kobe. (2009). Effect of Exposed Mode on Atmospheric Corrosion for Carbon Steel at Qingdao Area. Cailiao gongcheng. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026