Ying Shen

4.3k total citations · 3 hit papers
71 papers, 3.0k citations indexed

About

Ying Shen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Ying Shen has authored 71 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 15 papers in Aerospace Engineering and 10 papers in Signal Processing. Recurrent topics in Ying Shen's work include Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (15 papers) and Image Enhancement Techniques (9 papers). Ying Shen is often cited by papers focused on Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (15 papers) and Image Enhancement Techniques (9 papers). Ying Shen collaborates with scholars based in China, Macao and Sweden. Ying Shen's co-authors include Lin Zhang, Hongyu Li, Yicong Zhou, AmirAli Bagher Zadeh, Louis–Philippe Morency, Paul Pu Liang, Zhun Liu, Shiyu Zhao, Shengjie Zhao and Shengjie Zhao and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Ying Shen

61 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment

2014 759 citations Lin Zhang, Ying Shen et al. IEEE Transactions on Image Processing profile →
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors

2018 614 citations Zhun Liu, Ying Shen et al. profile →
RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing

2021 244 citations Shiyu Zhao, Lin Zhang et al. IEEE Transactions on Image Processing profile →

Peers

Ying Shen

CVPR

MT

AI

SP

ECP

Xiongkuo Min China

Kwanghoon Sohn South Korea

Patrick Le Callet France

Simone Bianco Italy

Xin Liu China

Aseem Agarwala United States

Tao Chen China

Jacob Scharcanski Brazil

David K. Han United States

Hyeonjoon Moon South Korea

Xiongkuo Min China

Ying Shen

5.5k ×2.7

CVPR

2.1k ×2.6

MT

249 ×0.4

AI

478 ×1.0

SP

170 ×0.6

ECP

Citations per year, relative to Ying Shen Ying Shen (= 1×) peers Xiongkuo Min

Countries citing papers authored by Ying Shen

Since Specialization

Citations

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

Fields of papers citing papers by Ying Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Guo, Yuan, et al.. (2025). Lane-level map matching for vehicles using mask-based raster high-definition maps. Expert Systems with Applications. 287. 128195–128195.

2.

Shen, Ying, et al.. (2025). ADTMOS – Synthesized Speech Quality Assessment Based on Audio Distortion Tokens. IEEE Transactions on Audio Speech and Language Processing. 33. 1493–1507.

3.

Zhang, Lin, et al.. (2024). GS ³ LAM: Gaussian Semantic Splatting SLAM. 3019–3027. 1 indexed citations

4.

Shen, Ying, et al.. (2024). DIFFBAS: An Advanced Binaural Audio Synthesis Model Focusing on Binaural Differences Recovery. Applied Sciences. 14(8). 3385–3385.

5.

Shen, Ying, et al.. (2023). GERP: A Personality-Based Emotional Response Generation Model. Applied Sciences. 13(8). 5109–5109. 3 indexed citations

6.

Yang, Xuefeng, et al.. (2023). Rotational Voxels Statistics Histogram for both real-valued and binary feature representations of 3D local shape. Journal of Visual Communication and Image Representation. 93. 103817–103817. 7 indexed citations

7.

Zhang, Lin, et al.. (2022). D-LIOM: Tightly-Coupled Direct LiDAR-Inertial Odometry and Mapping. IEEE Transactions on Multimedia. 25. 3905–3920. 32 indexed citations

8.

Zhao, Shiyu, Lin Zhang, Ying Shen, & Yicong Zhou. (2021). RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing. IEEE Transactions on Image Processing. 30. 3391–3404. 244 indexed citations breakdown →

9.

Shen, Ying, et al.. (2021). Towards Robust Autonomous Coverage Navigation for Carlike Robots. IEEE Robotics and Automation Letters. 6(4). 8742–8749. 5 indexed citations

10.

Shao, Xuan, Lin Zhang, Tianjun Zhang, Ying Shen, & Yicong Zhou. (2021). MOFIS_SLAM: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4788–4803. 15 indexed citations

11.

Zhang, Lin, et al.. (2020). GAN-Based Image Super-Resolution with a Novel Quality Loss. Mathematical Problems in Engineering. 2020. 1–12. 45 indexed citations

12.

Zhao, Shiyu, Lin Zhang, Shuaiyi Huang, Ying Shen, & Shengjie Zhao. (2020). Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines. IEEE Transactions on Image Processing. 29. 6947–6962. 108 indexed citations

13.

Zhang, Lin, Anqi Zhu, Ying Shen, Shengjie Zhao, & Huijuan Zhang. (2020). Revisit Retinex Theory: Towards a Lightness-Aware Restorer for Underexposed Images. Mathematical Problems in Engineering. 2020. 1–11. 5 indexed citations

14.

Bai, Yang, Ziran Li, Ning Ding, Ying Shen, & Hai-Tao Zheng. (2020). Infobox-to-text Generation with Tree-like Planning based Attention Network. 3773–3779. 12 indexed citations

15.

Liu, Zhun, et al.. (2018). Efficient Low-rank Multimodal Fusion With Modality-Specific Factors. 2247–2256. 614 indexed citations breakdown →

16.

Shen, Ying & Weihua Zhu. (2018). A fuzzy theory-based MRI segmentation model. 6. 1–3. 1 indexed citations

17.

Zhang, Lin, et al.. (2018). Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset. Symmetry. 10(4). 78–78. 82 indexed citations

18.

Zhang, Lin, et al.. (2017). Vision-based parking-slot detection: A benchmark and a learning-based approach. 649–654. 44 indexed citations

19.

Shen, Ying, et al.. (2017). Experimental and Numerical Analysis of the Edge Effect for Corrugated and Honeycomb Fiberboard. Strength of Materials. 49(1). 188–197. 8 indexed citations

20.

Zhang, Lin, et al.. (2014). 3D Face Recognition Based on Multiple Keypoint Descriptors and Sparse Representation. PLoS ONE. 9(6). e100120–e100120. 22 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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