Shu Wang

2.0k total citations · 1 hit paper
96 papers, 1.4k citations indexed

About

Shu Wang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Shu Wang has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 20 papers in Computer Vision and Pattern Recognition and 18 papers in Biophysics. Recurrent topics in Shu Wang's work include Photoacoustic and Ultrasonic Imaging (16 papers), Advanced Fluorescence Microscopy Techniques (15 papers) and Cell Image Analysis Techniques (9 papers). Shu Wang is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (16 papers), Advanced Fluorescence Microscopy Techniques (15 papers) and Cell Image Analysis Techniques (9 papers). Shu Wang collaborates with scholars based in China, United States and United Kingdom. Shu Wang's co-authors include Huchuan Lu, Fan Yang, Ming–Hsuan Yang, Fuli Wang, Xiuqing Huang, Yong Man, Zhenjiang Miao, Tao Shen, Jian Li and Yuqing Chang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shu Wang

89 papers receiving 1.4k citations

Hit Papers

Superpixel tracking 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Wang China 17 504 204 170 146 139 96 1.4k
Muhammad Awais Pakistan 24 323 0.6× 153 0.8× 131 0.8× 311 2.1× 106 0.8× 112 1.9k
Sen Li China 22 335 0.7× 251 1.2× 57 0.3× 165 1.1× 40 0.3× 126 1.5k
Xiao Zhang China 18 292 0.6× 295 1.4× 53 0.3× 256 1.8× 57 0.4× 113 1.3k
Jun Gao China 23 892 1.8× 176 0.9× 100 0.6× 222 1.5× 37 0.3× 122 2.3k
Wei Zeng China 26 399 0.8× 578 2.8× 380 2.2× 241 1.7× 64 0.5× 209 2.4k
D. Dutta Majumder India 19 537 1.1× 79 0.4× 199 1.2× 360 2.5× 35 0.3× 125 1.4k
Hailong Zhu China 18 494 1.0× 180 0.9× 145 0.9× 209 1.4× 62 0.4× 103 1.5k
Zeyi Huang United States 10 522 1.0× 80 0.4× 201 1.2× 290 2.0× 84 0.6× 27 1.3k
Anders Larsen Denmark 9 476 0.9× 87 0.4× 66 0.4× 248 1.7× 31 0.2× 22 1.0k

Countries citing papers authored by Shu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Wang. A scholar is included among the top collaborators of Shu 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 Shu Wang. Shu 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.
Wang, Shu, et al.. (2025). Transfer learning-based dual-branch multi-fidelity heterogeneous data fusion framework for aerodynamic performance prediction. Aerospace Science and Technology. 168. 110778–110778.
2.
Chen, Mingkai, et al.. (2025). Explainable Artificial Intelligence Enhance Image Semantic Communication System in 6G-IoT. IEEE Internet of Things Journal. 13(5). 8036–8049.
3.
Chen, Liqiong, Xin‐She Yang, Shu Wang, et al.. (2025). PFAN: progressive feature aggregation network for lightweight image super-resolution. The Visual Computer. 41(11). 8431–8450. 1 indexed citations
4.
Shen, Chengchao, et al.. (2024). Asymmetric patch sampling for contrastive learning. Pattern Recognition. 158. 111012–111012. 3 indexed citations
5.
Liu, Yulan, Lianhuang Li, Liqin Zheng, et al.. (2024). Improving the diagnosis of ductal carcinoma in situ with microinvasion without immunohistochemistry: An innovative method with H&E‐stained and multiphoton microscopy images. International Journal of Cancer. 154(10). 1802–1813. 2 indexed citations
6.
Wang, Shu, Xixiang Liu, Yueying Li, et al.. (2023). A deep learning-based stripe self-correction method for stitched microscopic images. Nature Communications. 14(1). 5393–5393. 13 indexed citations
7.
Wang, Yongwei, Maohua Xiao, Shu Wang, et al.. (2023). Detection of Famous Tea Buds Based on Improved YOLOv7 Network. Agriculture. 13(6). 1190–1190. 7 indexed citations
8.
Wang, Shu, et al.. (2023). Towards complex scenes: A deep learning-based camouflaged people detection method for snapshot multispectral images. Defence Technology. 34. 269–281. 5 indexed citations
9.
Huang, Xingxin, Fangmeng Fu, Deyong Kang, et al.. (2023). Prognostic significance of collagen signatures at breast tumor boundary obtained by combining multiphoton imaging and imaging analysis. Cellular Oncology. 47(1). 69–80. 3 indexed citations
10.
Chen, Tao, Shu Wang, Yu Gong, Lidan Wang, & Shukai Duan. (2023). Surrogate gradient scaling for directly training spiking neural networks. Applied Intelligence. 53(23). 27966–27981. 7 indexed citations
11.
Zhou, Ping, et al.. (2021). Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion. IEEE Transactions on Industrial Electronics. 69(3). 3017–3026. 46 indexed citations
12.
Shen, Ying, et al.. (2021). Camouflaged Target Detection Based on Snapshot Multispectral Imaging. Remote Sensing. 13(19). 3949–3949. 20 indexed citations
13.
Chen, Houjin, et al.. (2020). Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism. Ultrasonics. 110. 106271–106271. 48 indexed citations
14.
Wang, Shu, Shaoting Zhang, Wei Liu, & Dimitris Metaxas. (2016). Visual tracking with reliable memories. arXiv (Cornell University). 3491–3497. 4 indexed citations
15.
Wang, Shu. (2015). The research of turbot fry counting method based on computer vision. 3 indexed citations
16.
Wang, Shu. (2013). Research on Formation Process of Wrapping Explosively Formed Compound Penetrator. Chinese Journal of High Pressure Physics. 2 indexed citations
17.
Lin, Xin, Yonggang Lu, Tao Shen, et al.. (2012). Panax Notogingseng Saponins Suppress RAGE/ MAPK Signaling and NF-kappaB Activation in Apolipoprotein-E-deficient Atherosclerosis-prone mice. Cellular Physiology and Biochemistry. 29(5-6). 875–882. 51 indexed citations
18.
Wang, Shu. (2007). Analysis of The Development about Airboard Self-defense Electronic Countermeasure System. 1 indexed citations
19.
Wang, Shu. (2004). Determination of Slot Width in A Slotted Pipe for Directional-split Blasting. Nonferrous Metals. 7 indexed citations
20.
Wang, Shu. (2002). Automatic classification of cloud and mist based on weighted fractal dimension. Infrared and Laser Engineering. 1 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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