Yu Shi

1.9k total citations
113 papers, 1.1k citations indexed

About

Yu Shi is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Media Technology. According to data from OpenAlex, Yu Shi has authored 113 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 38 papers in Mechanical Engineering and 28 papers in Media Technology. Recurrent topics in Yu Shi's work include Advanced Image Processing Techniques (20 papers), Advanced Image Fusion Techniques (18 papers) and Image and Signal Denoising Methods (17 papers). Yu Shi is often cited by papers focused on Advanced Image Processing Techniques (20 papers), Advanced Image Fusion Techniques (18 papers) and Image and Signal Denoising Methods (17 papers). Yu Shi collaborates with scholars based in China, United Kingdom and United States. Yu Shi's co-authors include Zhenghua Huang, Hanyu Hong, Xiaoliang Fan, Volodymyr Korzhyk, Youwei Xu, Zhicheng Wang, Yufen Gu, Lei Ma, Hua Xia and Yaozong Zhang and has published in prestigious journals such as Carbon, Chemical Engineering Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yu Shi

101 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Shi China 21 469 322 279 209 175 113 1.1k
Jianhong Chen China 15 244 0.5× 74 0.2× 179 0.6× 116 0.6× 108 0.6× 86 922
Haichao Zhang China 23 265 0.6× 904 2.8× 253 0.9× 237 1.1× 429 2.5× 67 1.9k
Ye Wei China 18 1.0k 2.2× 201 0.6× 508 1.8× 353 1.7× 18 0.1× 40 1.9k
Chuanguang Yang China 11 594 1.3× 219 0.7× 106 0.4× 60 0.3× 31 0.2× 37 997
Yuhua Chen United States 20 687 1.5× 25 0.1× 220 0.8× 181 0.9× 23 0.1× 90 1.4k
Xiaolan Liu China 15 77 0.2× 115 0.4× 225 0.8× 28 0.1× 29 0.2× 59 685
Bandar Alzahrani Saudi Arabia 20 410 0.9× 121 0.4× 476 1.7× 387 1.9× 6 0.0× 76 1.5k
Yuksel C. Yabansu United States 19 638 1.4× 59 0.2× 864 3.1× 156 0.7× 12 0.1× 21 1.5k

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu Shi 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 Yu Shi. Yu Shi 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.
Ma, Lei, et al.. (2025). Optimal Transport Quantization Based on Cross-X Semantic Hypergraph Learning for Fine-Grained Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7005–7019. 3 indexed citations
2.
Ма, Лей, et al.. (2025). MS-SAM: Multi-stage SAM based on the fusion of multi-scale image encoder and multi-view prompt encoder for diabetic retinopathy segmentation. Biomedical Signal Processing and Control. 113. 109104–109104.
3.
Huang, Zhenghua, Xi Li, Yaozong Zhang, et al.. (2025). DMSDA-YOLO: Dynamic Multiscale Dilated Attention for Remote Sensing Object Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
4.
Yang, Xiaona, Peng Xiao, Yu Shi, et al.. (2025). Research on coal wettability and CH4 adsorption/desorption and diffusion characteristics based on nano-SiO2 synergistic surfactant. Energy. 330. 136999–136999. 4 indexed citations
5.
Wang, Yabin, et al.. (2024). Numerical study on flow and heat transfer performance of a spiral-wound heat exchanger for natural gas. Open Physics. 22(1). 2 indexed citations
6.
Wang, Lei, et al.. (2024). A 3-D Convolutional Vision Transformer for PolSAR Image Classification and Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 11503–11520. 3 indexed citations
7.
Li, Haiying, et al.. (2024). Prediction of Ionospheric Electron Density Distribution Based on CNN-LSTM Model. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations
8.
Shi, Yu, et al.. (2024). GAPANet: group alternate perceived attention network for optical imaging infrared thermal radiation effect correction. Optics Express. 32(20). 35888–35888. 1 indexed citations
9.
Shi, Yu, et al.. (2024). Semi-Supervised Learning for Infrared Thermal Radiation Correction in the Real World. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 2 indexed citations
10.
Li, Yaohua, Yang Wang, Qianyou Wang, et al.. (2024). Assessment of in‐situ CO 2 Sequestration Potential and Enhanced Coalbed Methane (ECBM) Production of Continental Coal‐bearing Basins in China. Acta Geologica Sinica - English Edition. 98(6). 1602–1614.
11.
Xu, Zhisheng, et al.. (2023). Preparation of fluorine-free foam extinguishing agent based on silicone and hydrocarbon surfactants for markedly suppressing the pool fire. Thermal Science and Engineering Progress. 40. 101761–101761. 19 indexed citations
12.
Shi, Yu, et al.. (2023). Porosity inhibition of aluminum alloy by power-modulated laser welding and mechanism analysis. Journal of Manufacturing Processes. 102. 827–838. 13 indexed citations
13.
Hua, Xia, et al.. (2023). Dynamic Scene Deblurring Based on Continuous Cross-Layer Attention Transmission. SSRN Electronic Journal. 1 indexed citations
14.
Shi, Yu, Zhigao Huang, Lei Ma, et al.. (2023). DDABNet: a dense Do-conv residual network with multisupervision and mixed attention for image deblurring. Applied Intelligence. 53(24). 30911–30926. 2 indexed citations
15.
Shi, Yu, et al.. (2023). Structured deep learning based object-specific distance estimation from a monocular image. International Journal of Machine Learning and Cybernetics. 14(12). 4151–4161. 1 indexed citations
16.
Zheng, Yuehong, et al.. (2020). Effect of rolling deformation on microstructure and mechanical properties of 2205 duplex stainless steel with micro-nano structure. Modern Physics Letters B. 34(25). 2050269–2050269. 10 indexed citations
17.
Wang, Keliang, Yi Song, Fuan Wei, et al.. (2018). Effect of Rolling Deformation on Nanograins and Mechanical Properties of Exceptional Nano/Microcrystalline 304 Stainless Steel. steel research international. 89(5). 4 indexed citations
18.
Ren, Junqiang, et al.. (2018). In situ SEM analysis for deformation mechanism of micro/nanostructured 304 stainless steel with high strength and good plasticity. Modern Physics Letters B. 32(17). 1850182–1850182. 17 indexed citations
19.
20.
Li, Shaofu, Yafeng Yang, Katsuyoshi Kondoh, et al.. (2018). Activation of B as a sintering aid and its improved microstructure modification by using Ni-B coated Ti core-shell powder. Materialia. 5. 100182–100182. 2 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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