Shengyang Dai

1.3k total citations
15 papers, 830 citations indexed

About

Shengyang Dai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Shengyang Dai has authored 15 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Shengyang Dai's work include Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (5 papers) and Advanced Vision and Imaging (4 papers). Shengyang Dai is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (5 papers) and Advanced Vision and Imaging (4 papers). Shengyang Dai collaborates with scholars based in United States and China. Shengyang Dai's co-authors include Ying Wu, Mei Han, Yihong Gong, Ying Wu, Aggelos K. Katsaggelos, Wei Xu, Qingmin Liao, Ying Wu, Yihong Gong and Ming Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Shengyang Dai

15 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengyang Dai United States 11 793 416 84 48 41 15 830
Sebastian Seung United States 3 397 0.5× 208 0.5× 50 0.6× 53 1.1× 29 0.7× 5 537
Ruomei Yan United Kingdom 6 559 0.7× 345 0.8× 35 0.4× 18 0.4× 88 2.1× 7 631
Jiangxin Dong China 16 735 0.9× 443 1.1× 37 0.4× 13 0.3× 30 0.7× 26 845
A.J. Patti United States 11 761 1.0× 391 0.9× 22 0.3× 14 0.3× 77 1.9× 24 844
Shaoyang Zhu United States 4 420 0.5× 122 0.3× 39 0.5× 20 0.4× 40 1.0× 7 487
Salvador Gabarda Spain 9 301 0.4× 216 0.5× 35 0.4× 20 0.4× 17 0.4× 32 429
Mauricio Delbracio United States 10 609 0.8× 258 0.6× 29 0.3× 12 0.3× 28 0.7× 25 696
Khosro Bahrami United States 11 552 0.7× 267 0.6× 19 0.2× 34 0.7× 25 0.6× 20 666
M. G. Mozerov Russia 11 435 0.5× 181 0.4× 30 0.4× 32 0.7× 21 0.5× 63 501
Anjing Guo China 8 476 0.6× 629 1.5× 74 0.9× 16 0.3× 36 0.9× 10 789

Countries citing papers authored by Shengyang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shengyang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyang Dai

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

All Works

15 of 15 papers shown
1.
Gao, Jiyang, Jiang Wang, Shengyang Dai, Li-Jia Li, & Ram Nevatia. (2019). NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. 9507–9516. 58 indexed citations
2.
Kwatra, Vivek, Mei Han, & Shengyang Dai. (2012). Shadow removal for aerial imagery by information theoretic intrinsic image analysis. 1–8. 15 indexed citations
3.
Dai, Shengyang, Simon Baker, & Sing Bing Kang. (2009). An MRF-Based DeInterlacing Algorithm With Exemplar-Based Refinement. IEEE Transactions on Image Processing. 18(5). 956–968. 8 indexed citations
4.
Dai, Shengyang, et al.. (2009). SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution. IEEE Transactions on Image Processing. 18(5). 969–981. 143 indexed citations
5.
Dai, Shengyang & Ying Wu. (2009). Removing partial blur in a single image. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2544–2551. 32 indexed citations
6.
Dai, Shengyang & Ying Wu. (2008). Estimating space-variant motion blur without deblurring. 661–664. 10 indexed citations
7.
Dai, Shengyang & Ying Wu. (2008). Motion from blur. 1–8. 118 indexed citations
8.
Dai, Shengyang, Mei Han, Wei Xu, Ying Wu, & Yihong Gong. (2007). Soft Edge Smoothness Prior for Alpha Channel Super Resolution. 1–8. 182 indexed citations
9.
Dai, Shengyang, Ming Yang, Ying Wu, & Aggelos K. Katsaggelos. (2007). Detector Ensemble. 1. 1–8. 20 indexed citations
10.
Dai, Shengyang, Mei Han, Ying Wu, & Yihong Gong. (2007). Bilateral Back-Projection for Single Image Super Resolution. 1039–1042. 102 indexed citations
11.
Dai, Shengyang, Ming Yang, Ying Wu, & Aggelos K. Katsaggelos. (2006). Tracking Motion-Blurred Targets in Video. 2389–2392. 41 indexed citations
12.
Liao, Qingmin, et al.. (2004). A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering. 2820–2825. 93 indexed citations
13.
Dai, Shengyang & Yu‐Jin Zhang. (2004). AdaBoost in region-based image retrieval. 3. iii–429. 1 indexed citations
14.
Dai, Shengyang & Yu‐Jin Zhang. (2004). Unbalanced region matching based on two-level description for image retrieval. Pattern Recognition Letters. 26(5). 565–580. 3 indexed citations
15.
Dai, Shengyang & Yu‐Jin Zhang. (2004). Color image segmentation with watershed on color histogram and Markov random fields. 1. 527–531. 4 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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