Yan Shen

2.0k total citations · 1 hit paper
77 papers, 1.1k citations indexed

About

Yan Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yan Shen has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Yan Shen's work include Advanced Neural Network Applications (9 papers), Advanced Image Fusion Techniques (7 papers) and Human Pose and Action Recognition (6 papers). Yan Shen is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image Fusion Techniques (7 papers) and Human Pose and Action Recognition (6 papers). Yan Shen collaborates with scholars based in China, United States and Australia. Yan Shen's co-authors include Bing Guo, Ya-Li Hou, Xuehan Xiong, Cordelia Schmid, Anurag Arnab, Emilio Ferrara, Mi Zhang, Zhichao Lu, Chen Sun and Emily Chen and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Yan Shen

71 papers receiving 1.0k citations

Hit Papers

Multiview Transformers for Video Recognition 2022 2026 2023 2024 2022 50 100 150
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. Multiview Transformers for Video Recognition
    2022 180 citations Yan Shen, Anurag Arnab 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
Yan Shen China 15 493 301 114 109 82 77 1.1k
Nicola Conci Italy 19 730 1.5× 506 1.7× 83 0.7× 91 0.8× 88 1.1× 119 1.3k
Kia Dashtipour United Kingdom 22 309 0.6× 662 2.2× 73 0.6× 198 1.8× 104 1.3× 68 1.5k
Yunhao Yuan China 21 868 1.8× 582 1.9× 275 2.4× 68 0.6× 48 0.6× 103 1.5k
Hong-Han Shuai Taiwan 21 745 1.5× 494 1.6× 53 0.5× 70 0.6× 57 0.7× 119 1.5k
Donghai Guan China 19 389 0.8× 523 1.7× 49 0.4× 73 0.7× 68 0.8× 87 1.1k
Georgios Evangelidis Greece 18 537 1.1× 240 0.8× 73 0.6× 36 0.3× 76 0.9× 80 1.3k
Mohamad Ivan Fanany Indonesia 16 254 0.5× 464 1.5× 54 0.5× 53 0.5× 57 0.7× 89 1.0k
Jan Platoš Czechia 17 190 0.4× 673 2.2× 97 0.9× 154 1.4× 175 2.1× 154 1.3k
Xiaohan Wang China 25 974 2.0× 812 2.7× 82 0.7× 43 0.4× 67 0.8× 130 1.9k
Duc Thanh Nguyen Australia 19 788 1.6× 242 0.8× 41 0.4× 56 0.5× 54 0.7× 58 1.3k

Countries citing papers authored by Yan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shen. A scholar is included among the top collaborators of Yan Shen 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 Shen. Yan Shen 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.
Shen, Yan, et al.. (2025). Integrating cognition, self-regulation, motivation, and metacognition: a framework of post-pandemic flipped classroom design. Educational Technology Research and Development. 73(4). 2425–2461.
2.
3.
Xu, Jiarui, Xingyi Zhou, Yan Shen, et al.. (2024). Pixel Aligned Language Models. 13030–13039. 2 indexed citations
4.
Liu, Zhihua, Bin Yang, Yan Shen, et al.. (2024). Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Analysis. 94. 103138–103138. 1 indexed citations
5.
Wang, Zhongli, et al.. (2023). DefVAE: A Defect Detection Method for Catenary Devices Based on Variational Autoencoder. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 6 indexed citations
6.
Guo, Yan, et al.. (2023). From local to global: a multi-group feature enhancement network for non-uniform and dense haze removal. Multimedia Tools and Applications. 82(17). 27057–27073.
7.
Xie, Yi, et al.. (2021). Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction. IET Signal Processing. 15(9). 573–583. 1 indexed citations
8.
Guo, Bing, et al.. (2021). Robust supervised topic models under label noise. Machine Learning. 110(5). 907–931. 9 indexed citations
9.
Shen, Yan, Meng Luo, Yun Chen, et al.. (2021). Cross-View Image Translation Based on Local and Global Information Guidance. IEEE Access. 9. 12955–12967. 1 indexed citations
10.
Wang, Zhongli, et al.. (2020). 4-D SLAM: An Efficient Dynamic Bayes Network-Based Approach for Dynamic Scene Understanding. IEEE Access. 8. 219996–220014. 5 indexed citations
11.
Shen, Yan, et al.. (2020). Feature Enhancement Based on CycleGAN for Nighttime Vehicle Detection. IEEE Access. 9. 849–859. 34 indexed citations
12.
Jiang, Julie, Emily Chen, Yan Shen, Kristina Lerman, & Emilio Ferrara. (2020). Political polarization drives online conversations about COVID ‐19 in the United States. Human Behavior and Emerging Technologies. 2(3). 200–211. 120 indexed citations
13.
Shen, Yan, et al.. (2020). Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?. arXiv (Cornell University). 7 indexed citations
14.
Guo, Bing, et al.. (2019). Sleep staging algorithm based on multichannel data adding and multifeature screening. Computer Methods and Programs in Biomedicine. 187. 105253–105253. 31 indexed citations
15.
Shen, Yan, et al.. (2019). Understanding Cyberbullying on Instagram and Ask.fm via Social Role Detection. 183–188. 18 indexed citations
16.
Li, Deguang, et al.. (2017). The evolution of open-source mobile applications: An empirical study. Journal of Software Evolution and Process. 29(7). e1855–e1855. 11 indexed citations
17.
Shen, Yan, et al.. (2016). A Modeling Approach for Energy Saving Based on GA-BP Neural Network. Journal of Electrical Engineering and Technology. 11(5). 1289–1298. 17 indexed citations
18.
Shen, Yan, Yuefeng Li, Yue Xu, et al.. (2011). An ontology-based mining approach for user search intent discovery. QUT ePrints (Queensland University of Technology).
19.
Shen, Yan, Xinmin Wang, & Weidong Yu. (2011). Baseline Design for Small Satellites Formation Interferometric Synthetic Aperture Radar. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 30(6). 1345–1349.
20.
Li, Xunbo, et al.. (2008). The design and realization of gas turbine engine test visualization. 24. 1111–1115.

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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