Yang Shang

1.3k total citations
34 papers, 1.1k citations indexed

About

Yang Shang is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Yang Shang has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Electronic, Optical and Magnetic Materials and 11 papers in Materials Chemistry. Recurrent topics in Yang Shang's work include Copper-based nanomaterials and applications (9 papers), Advanced Vision and Imaging (6 papers) and Optical measurement and interference techniques (6 papers). Yang Shang is often cited by papers focused on Copper-based nanomaterials and applications (9 papers), Advanced Vision and Imaging (6 papers) and Optical measurement and interference techniques (6 papers). Yang Shang collaborates with scholars based in China, Singapore and Taiwan. Yang Shang's co-authors include Lin Guo, Xiaotian Wang, Jie Lin, Xiaoxia Li, Dongfeng Zhang, Jian Yu, Penggang Yin, Tingting You, Shihe Yang and Li Jiang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Yang Shang

32 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
Yang Shang China 15 628 612 239 185 179 34 1.1k
Ping Tang China 15 194 0.3× 240 0.4× 227 0.9× 110 0.6× 91 0.5× 74 724
Juan Xu China 18 620 1.0× 422 0.7× 354 1.5× 335 1.8× 115 0.6× 64 1.1k
Kuo Yang China 16 354 0.6× 299 0.5× 417 1.7× 205 1.1× 274 1.5× 64 994
Donghoon Han South Korea 20 246 0.4× 156 0.3× 371 1.6× 565 3.1× 301 1.7× 80 1.2k
Qi Fan China 17 352 0.6× 140 0.2× 227 0.9× 233 1.3× 54 0.3× 50 728
Chi-Hung Chuang United States 16 837 1.3× 100 0.2× 158 0.7× 596 3.2× 101 0.6× 23 1.2k
Junghwa Lee South Korea 15 277 0.4× 148 0.2× 184 0.8× 630 3.4× 66 0.4× 34 1.1k
Gino Rinaldi Canada 10 440 0.7× 250 0.4× 350 1.5× 487 2.6× 57 0.3× 27 1.1k
Yuee Li China 16 279 0.4× 123 0.2× 183 0.8× 125 0.7× 127 0.7× 51 650

Countries citing papers authored by Yang Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Shang. A scholar is included among the top collaborators of Yang Shang 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 Yang Shang. Yang Shang 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.
Guan, Banglei, et al.. (2025). Learning Affine Correspondences by Integrating Geometric Constraints. 27038–27048.
2.
He, Kai, Xin Yan, Yang Shang, et al.. (2024). Single line of sight frame camera based on the RadOptic effect of ultrafast semiconductor detector. Optics and Lasers in Engineering. 175. 108029–108029. 1 indexed citations
3.
Zhang, Zhuo, et al.. (2024). Dual source geometric constraints based high precision online pose estimation. Engineering Applications of Artificial Intelligence. 138. 109343–109343. 1 indexed citations
4.
Xiao, Yanhong, et al.. (2024). Charging Station Power System Data Prediction Model Based on Deep Learning. Renewable Energy and Power Quality Journal. 143–159.
5.
Liu, Haibo, et al.. (2019). Scheimpflug Camera-Based Stereo-Digital Image Correlation for Full-Field 3D Deformation Measurement. Journal of Sensors. 2019. 1–11. 7 indexed citations
6.
Zhao, Dongyu, Lihong Xu, Yang Shang, Xiaoxia Li, & Lin Guo. (2018). Facet-dependent electro-optical properties of cholesteric liquid crystals doped with Cu2O nanocrystals. Nano Research. 11(9). 4836–4845. 10 indexed citations
7.
Li, Xiaoxia, Yang Shang, Jie Lin, et al.. (2018). Temperature‐Induced Stacking to Create Cu2O Concave Sphere for Light Trapping Capable of Ultrasensitive Single‐Particle Surface‐Enhanced Raman Scattering. Advanced Functional Materials. 28(33). 53 indexed citations
8.
Lin, Jie, Yang Shang, Xiaoxia Li, et al.. (2016). Ultrasensitive SERS Detection by Defect Engineering on Single Cu2O Superstructure Particle. Advanced Materials. 29(5). 340 indexed citations
9.
Yu, Qifeng, et al.. (2015). Camera series and parallel networks for deformation measurements of large scale structures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9530. 953002–953002. 6 indexed citations
10.
Sun, Xiaoliang, et al.. (2015). Frequency-spatial domain based salient region detection. Optik. 126(9-10). 942–949. 4 indexed citations
11.
Shang, Yang, Yiming Shao, Dongfeng Zhang, & Lin Guo. (2014). Recrystallization‐Induced Self‐Assembly for the Growth of Cu2O Superstructures. Angewandte Chemie. 126(43). 11698–11702. 3 indexed citations
12.
Shang, Yang, Yiming Shao, Dongfeng Zhang, & Lin Guo. (2014). Recrystallization‐Induced Self‐Assembly for the Growth of Cu2O Superstructures. Angewandte Chemie International Edition. 53(43). 11514–11518. 41 indexed citations
13.
You, Tingting, Li Jiang, Penggang Yin, et al.. (2013). Direct observation of p,p′‐dimercaptoazobenzene produced from p‐aminothiophenol and p‐nitrothiophenol on Cu2O nanoparticles by surface‐enhanced Raman spectroscopy. Journal of Raman Spectroscopy. 45(1). 7–14. 26 indexed citations
14.
Jiang, Li, Tingting You, Penggang Yin, et al.. (2013). Surface-enhanced Raman scattering spectra of adsorbates on Cu2O nanospheres: charge-transfer and electromagnetic enhancement. Nanoscale. 5(7). 2784–2784. 174 indexed citations
15.
Chen, Shengyi, et al.. (2013). Research on CUDA-based image parallel dense matching. 32. 482–486. 3 indexed citations
16.
Shang, Yang, Wei Fei, & Hao Yu. (2012). Fast simulation of hybrid CMOS and STT-MTJ circuits with identified internal state variables. DR-NTU (Nanyang Technological University). 57. 529–534. 7 indexed citations
17.
Li, Lichun, et al.. (2010). A new navigation approach of terrain contour matching based on 3-D terrain reconstruction from onboard image sequence. Science China Technological Sciences. 53(5). 1176–1183. 5 indexed citations
18.
Yu, Qifeng, et al.. (2009). Fold-ray videometrics method for the deformation measurement of nonintervisible large structures. Applied Optics. 48(24). 4683–4683. 26 indexed citations
19.
Li, Lichun, et al.. (2009). Super-resolution reconstruction and higher-degree function deformation model based matching for Chang’E-1 lunar images. Science in China. Series E, Technological sciences. 52(12). 3468–3476. 14 indexed citations
20.
Yu, Qifeng, et al.. (2008). Deformation monitoring system of tunnel rocks with innovative broken-ray videometrics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7375. 73752C–73752C. 7 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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