Shuigen Wang

626 total citations
31 papers, 458 citations indexed

About

Shuigen Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Shuigen Wang has authored 31 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 7 papers in Aerospace Engineering. Recurrent topics in Shuigen Wang's work include Advanced Image Fusion Techniques (11 papers), Image and Video Quality Assessment (9 papers) and Image Enhancement Techniques (9 papers). Shuigen Wang is often cited by papers focused on Advanced Image Fusion Techniques (11 papers), Image and Video Quality Assessment (9 papers) and Image Enhancement Techniques (9 papers). Shuigen Wang collaborates with scholars based in China, Singapore and United States. Shuigen Wang's co-authors include Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Dengfu Chen, Jian Zhang, Weisi Lin, Xun Liu, Mujun Long, Baoxian Wang and Alan C. Bovik and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Journal of Materials Processing Technology.

In The Last Decade

Shuigen Wang

30 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuigen Wang China 12 200 173 101 67 64 31 458
Cécile Barat France 11 238 1.2× 76 0.4× 44 0.4× 48 0.7× 27 0.4× 26 387
Decheng Wang China 9 48 0.2× 156 0.9× 77 0.8× 45 0.7× 68 1.1× 58 409
Tao Fang China 11 292 1.5× 206 1.2× 16 0.2× 28 0.4× 22 0.3× 42 571
Chinmaya Panigrahy India 14 331 1.7× 318 1.8× 34 0.3× 41 0.6× 6 0.1× 18 590
Yuzhi Zhao China 11 277 1.4× 123 0.7× 19 0.2× 42 0.6× 15 0.2× 38 432
Jianhui Wu China 9 167 0.8× 277 1.6× 24 0.2× 72 1.1× 22 0.3× 25 449
Xianzhi Li China 10 190 0.9× 111 0.6× 13 0.1× 50 0.7× 18 0.3× 27 373
Yuelei Xu China 11 216 1.1× 108 0.6× 28 0.3× 38 0.6× 11 0.2× 41 374
Xun Liu China 10 191 1.0× 296 1.7× 18 0.2× 34 0.5× 113 1.8× 30 530
Bibo Lu China 10 118 0.6× 81 0.5× 27 0.3× 17 0.3× 23 0.4× 57 283

Countries citing papers authored by Shuigen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuigen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuigen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuigen Wang. A scholar is included among the top collaborators of Shuigen Wang 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 Shuigen Wang. Shuigen Wang 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.
Shao, Mingwen, et al.. (2024). When guided diffusion model meets zero-shot image super-resolution. Engineering Applications of Artificial Intelligence. 138. 109336–109336. 2 indexed citations
2.
Shao, Mingwen, et al.. (2024). Boundary-Aware Spatial and Frequency Dual-Domain Transformer for Remote Sensing Urban Images Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 5 indexed citations
3.
Shao, Mingwen, et al.. (2024). Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4722–4730. 6 indexed citations
4.
Yue, Guanghui, Jinxia Zhang, Shuigen Wang, et al.. (2024). Subjective Quality Assessment of Thermal Infrared Images. ORCA Online Research @Cardiff (Cardiff University). 1212–1217. 1 indexed citations
5.
Yang, Peng, Feng Zhou, Guanghui Yue, et al.. (2023). MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13713–13727. 8 indexed citations
6.
Wang, Lingxue, et al.. (2023). Improving autonomous detection in dynamic environments with robust monocular thermal SLAM system. ISPRS Journal of Photogrammetry and Remote Sensing. 203. 265–284. 15 indexed citations
7.
Chen, Kai, et al.. (2022). ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation. Proceedings of the 30th ACM International Conference on Multimedia. 5294–5302. 11 indexed citations
8.
Deng, Chenwei, Shuigen Wang, Alan C. Bovik, Guang-Bin Huang, & Baojun Zhao. (2019). Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis. IEEE Transactions on Cybernetics. 50(3). 1146–1156. 25 indexed citations
9.
Deng, Chenwei, Zhen Li, Wenzheng Wang, et al.. (2018). Cloud Detection in Satellite Images Based on Natural Scene Statistics and Gabor Features. IEEE Geoscience and Remote Sensing Letters. 16(4). 608–612. 28 indexed citations
10.
Wang, Shuigen, Chenwei Deng, Xun Liu, et al.. (2017). Cloud-cover assessment: From spectral properties to spatial domain natural scene statistic. 5034–5037. 2 indexed citations
11.
Liu, Xun, et al.. (2016). Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine. IEEE Geoscience and Remote Sensing Letters. 13(12). 2039–2043. 80 indexed citations
12.
Wang, Shuigen, Chenwei Deng, Weisi Lin, Guang-Bin Huang, & Baojun Zhao. (2016). NMF-Based Image Quality Assessment Using Extreme Learning Machine. IEEE Transactions on Cybernetics. 47(1). 232–243. 67 indexed citations
13.
Zhang, Jian, Dengfu Chen, Chengqian Zhang, Shuigen Wang, & Weng‐Sing Hwang. (2015). Dynamic spray cooling control model based on the tracking of velocity and superheat for the continuous casting steel. Journal of Materials Processing Technology. 229. 651–658. 21 indexed citations
14.
Wang, Baoxian, et al.. (2015). Effective object tracking using extreme learning machine with smoothness and preference regularisation. Electronics Letters. 51(23). 1867–1869. 4 indexed citations
15.
Zhang, Jian, et al.. (2015). Effects of an even secondary cooling mode on the temperature and stress fields of round billet continuous casting steel. Journal of Materials Processing Technology. 222. 315–326. 27 indexed citations
16.
Wang, Baoxian, et al.. (2015). Visual Tracking Based on Extreme Learning Machine and Sparse Representation. Sensors. 15(10). 26877–26905. 17 indexed citations
17.
Wang, Baoxian, et al.. (2014). Robust visual tracking algorithm based on bidirectional sparse representation. Acta Physica Sinica. 63(23). 234201–234201. 3 indexed citations
18.
Wang, Shuigen, Chenwei Deng, Weisi Lin, & Guang-Bin Huang. (2013). A novel NMF-based image quality assessment metric using extreme learning machine. 255–258. 2 indexed citations
19.
Wang, Shuigen, Chenwei Deng, Weisi Lin, Baojun Zhao, & Jie Chen. (2013). A novel SVD-based image quality assessment metric. 423–426. 14 indexed citations
20.
Zhang, Jian, Dengfu Chen, Shuigen Wang, & Mujun Long. (2010). Compensation Control Model of Superheat and Cooling Water Temperature for Secondary Cooling of Continuous Casting. steel research international. 82(3). 213–221. 50 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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