Ming Yu

444 total citations
38 papers, 320 citations indexed

About

Ming Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ming Yu has authored 38 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Ming Yu's work include Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Emotion and Mood Recognition (5 papers). Ming Yu is often cited by papers focused on Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Emotion and Mood Recognition (5 papers). Ming Yu collaborates with scholars based in China, South Korea and Ireland. Ming Yu's co-authors include Gang Yan, Yingchun Guo, Yang Yu, Lifei Wei, Ziran Yuan, Can Huang, Liqin Cao, Bin Li, Jiaqiang Wang and Hanbing Qu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Ming Yu

30 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yu China 10 210 58 56 53 35 38 320
Yongjun Zhang China 11 246 1.2× 135 2.3× 45 0.8× 9 0.2× 12 0.3× 74 392
Jiangxiong Fang China 11 270 1.3× 84 1.4× 117 2.1× 59 1.1× 17 0.5× 33 475
Qingming Leng China 14 947 4.5× 52 0.9× 150 2.7× 56 1.1× 31 0.9× 23 1.1k
Alejandro H. Ballado Philippines 10 127 0.6× 31 0.5× 60 1.1× 5 0.1× 32 0.9× 61 341
V. Gomathi India 10 132 0.6× 73 1.3× 37 0.7× 15 0.3× 6 0.2× 46 333
M. Sami Zitouni United Arab Emirates 10 181 0.9× 26 0.4× 126 2.3× 49 0.9× 11 0.3× 39 365
Se Hyun Nam South Korea 10 147 0.7× 25 0.4× 41 0.7× 5 0.1× 9 0.3× 22 278
K. K. Thyagharajan India 11 163 0.8× 101 1.7× 53 0.9× 5 0.1× 30 0.9× 58 370
T. Sree Sharmila India 13 395 1.9× 129 2.2× 51 0.9× 22 0.4× 5 0.1× 67 565

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming Yu 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 Ming Yu. Ming Yu 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.
Yu, Ming, et al.. (2025). Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging. Diagnostics. 15(5). 588–588. 1 indexed citations
2.
Yu, Ming, et al.. (2025). DSTEN-CSLR: dual spatial–temporal enhancement network for continuous sign language recognition. Neural Computing and Applications. 37(19). 13981–14004.
3.
Mei, Jian-Ping, Shixiang Wang, & Ming Yu. (2024). Self-supervised learning from images: No negative pairs, no cluster-balancing. Pattern Recognition. 159. 111081–111081. 1 indexed citations
4.
Yu, Ming, et al.. (2023). Continuous sign language recognition based on hierarchical memory sequence network. IET Computer Vision. 18(2). 247–259. 1 indexed citations
5.
Yu, Ming, et al.. (2023). Denoising of Nifti (MRI) Images with a Regularized Neighborhood Pixel Similarity Wavelet Algorithm. Sensors. 23(18). 7780–7780. 4 indexed citations
6.
Yu, Yang, et al.. (2022). Multi-task Facial Activity Patterns Learning for micro-expression recognition using Joint Temporal Local Cube Binary Pattern. Signal Processing Image Communication. 103. 116616–116616. 7 indexed citations
7.
Wang, Yan, et al.. (2021). Facial expression recognition with fused handcraft features based on pixel difference local directional number pattern. Journal of Intelligent & Fuzzy Systems. 41(1). 113–123.
8.
Chen, Dian, Ming Yu, Wugan Luo, & Changsui Wang. (2020). Sub-microstructures of Nephrite from Five Sources Based on Multispectral Imaging and Effect Enhancement. Asian Journal of Advanced Research and Reports. 13–24. 2 indexed citations
9.
Yu, Yang, et al.. (2020). Sparse Spatiotemporal Descriptor for Micro-Expression Recognition Using Enhanced Local Cube Binary Pattern. Sensors. 20(16). 4437–4437. 9 indexed citations
10.
Guo, Yingchun, Yuting Hao, & Ming Yu. (2018). Image retargeting quality assessment based on content deformation measurement. Signal Processing Image Communication. 67. 171–181. 8 indexed citations
11.
Qu, Hanbing, Jiaqiang Wang, Bin Li, & Ming Yu. (2016). Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(2). 371–384. 28 indexed citations
12.
Wang, Weiming, et al.. (2014). A fast particle filter object tracking algorithm by dual features fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9301. 93011P–93011P.
13.
Yu, Ming, et al.. (2013). Automatic cartilage segmentation and measurement for diagnosis of OA using 3D box and Gaussian filters. Osteoarthritis and Cartilage. 21. S232–S233. 1 indexed citations
14.
Yue, Feng, Bin Li, & Ming Yu. (2013). Direct fitting of center collinear circles for equidistant fish-eye camera calibration. Journal of Electronic Imaging. 22(1). 13004–13004. 1 indexed citations
15.
Yu, Ming, et al.. (2012). The Application of SIFT Algorithm in Blind Road Environmental Image Matching. Applied Mechanics and Materials. 155-156. 1137–1141. 1 indexed citations
16.
Lü, Na, et al.. (2009). The Writer Identification Algorithm Based on Subspace. 22. 316–318. 1 indexed citations
17.
Yu, Ming, et al.. (2008). Deformable Block Motion Estimation and Compensation in the Redundant Domain. 33. 789–793. 1 indexed citations
18.
Wu, Hongtao, et al.. (2007). Image-Based Fast 3D Individual Facial Modeling. 8. 868–873. 22 indexed citations
19.
Yu, Ming, et al.. (2006). New Face Recognition Method Based on DWT/DCT Combined Feature Selection. 83. 3233–3236. 21 indexed citations
20.
Tang, Hongmei, et al.. (2002). A content-based image retrieval system on the mode of network. 3. 422–425. 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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