Shangming Yang

1.3k total citations
39 papers, 395 citations indexed

About

Shangming Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shangming Yang has authored 39 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Shangming Yang's work include Face and Expression Recognition (8 papers), Advanced Fiber Optic Sensors (7 papers) and Neural Networks and Applications (5 papers). Shangming Yang is often cited by papers focused on Face and Expression Recognition (8 papers), Advanced Fiber Optic Sensors (7 papers) and Neural Networks and Applications (5 papers). Shangming Yang collaborates with scholars based in China, United States and United Kingdom. Shangming Yang's co-authors include Guisong Liu, Mao Ye, Yi Zhang, Xiaofei He, Yun Zhang, Hong‐Liang Cui, Changqin Huang, Hanjiang Lai, Yan Pan and Dan Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Shangming Yang

31 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangming Yang China 10 142 129 120 72 54 39 395
Aaron E. Cohen United States 9 203 1.4× 124 1.0× 95 0.8× 285 4.0× 79 1.5× 26 521
Tongguang Ni China 13 224 1.6× 199 1.5× 58 0.5× 93 1.3× 65 1.2× 54 583
Wei Xue China 13 147 1.0× 116 0.9× 51 0.4× 216 3.0× 45 0.8× 62 454
Carlos Valderrama Belgium 12 61 0.4× 123 1.0× 108 0.9× 26 0.4× 163 3.0× 55 508
Shi Shao-bo China 5 236 1.7× 248 1.9× 70 0.6× 40 0.6× 117 2.2× 9 562
Weizhi Lu China 13 87 0.6× 251 1.9× 41 0.3× 50 0.7× 58 1.1× 30 452
Tailin Liang China 2 230 1.6× 247 1.9× 64 0.5× 40 0.6× 96 1.8× 4 513
Xiaokun Yang United States 11 61 0.4× 149 1.2× 67 0.6× 58 0.8× 183 3.4× 55 381
Hanlin Chen China 10 78 0.5× 111 0.9× 43 0.4× 39 0.5× 25 0.5× 58 336
Alireza Sepas‐Moghaddam Iran 14 198 1.4× 272 2.1× 39 0.3× 113 1.6× 41 0.8× 36 631

Countries citing papers authored by Shangming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shangming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shangming Yang. A scholar is included among the top collaborators of Shangming Yang 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 Shangming Yang. Shangming Yang 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.
Yang, Shangming, et al.. (2025). Automated skin cancer detection using MedFusionNet with attention-based fusion of ConvNeXt and vision transformer. Scientific Reports. 15(1). 43811–43811.
2.
Liu, Yongguo, et al.. (2024). HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. Neural Processing Letters. 56(2). 1 indexed citations
3.
Li, Qiaoqin, Yongguo Liu, Jiajing Zhu, et al.. (2023). A motion recognition model for upper-limb rehabilitation exercises. Journal of Ambient Intelligence and Humanized Computing. 14(12). 16795–16805. 3 indexed citations
4.
5.
Li, Qiaoqin, Yongguo Liu, Jiajing Zhu, et al.. (2021). Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation. JMIR mhealth and uhealth. 9(9). e24402–e24402. 10 indexed citations
6.
Yang, Shangming, et al.. (2019). Attention guided neural network models for occluded pedestrian detection. Pattern Recognition Letters. 131. 91–97. 31 indexed citations
7.
Zhang, Dan, et al.. (2019). Cycle-Consistent Domain Adaptive Faster RCNN. IEEE Access. 7. 123903–123911. 29 indexed citations
8.
Zhu, Jiajing, Yongguo Liu, Yun Zhang, et al.. (2019). IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing. 338. 207–221. 9 indexed citations
9.
Zhu, Jiajing, Yongguo Liu, Changhong Yang, et al.. (2018). A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks. PLoS ONE. 13(4). e0195226–e0195226.
10.
Yang, Shangming, Yi Zhang, Xiaofei He, & Xuelong Li. (2015). A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering. IEEE Transactions on Image Processing. 24(12). 5302–5314. 7 indexed citations
11.
Wang, Haiyang, Mao Ye, & Shangming Yang. (2013). Shadow compensation and illumination normalization of face image. Machine Vision and Applications. 24(6). 1121–1131. 8 indexed citations
12.
Yang, Shangming & Mao Ye. (2012). Multistability ofα-divergence based NMF algorithms. Computers & Mathematics with Applications. 64(2). 73–88. 3 indexed citations
13.
Yang, Shangming & Mao Ye. (2012). Global Minima Analysis of Lee and Seung’s NMF Algorithms. Neural Processing Letters. 38(1). 29–51. 6 indexed citations
14.
Zhang, Hongtao, et al.. (2010). A high speed, portable, multi-function, weigh-in-motion (WIM) sensing system and a high performance optical fiber Bragg grating (FBG) demodulator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7647. 76473D–76473D. 3 indexed citations
15.
Yang, Shangming & Yi Zhang. (2010). Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm. Neural Processing Letters. 31(1). 45–64. 6 indexed citations
16.
Zhang, Hongtao, et al.. (2009). High speed, high performance, portable, dual-channel, optical fiber Bragg grating (FBG) demodulator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7503. 75034U–75034U.
17.
Yang, Shangming & Yi Zhang. (2007). Nonnegative Matrix Factorization for Independent Component Analysis. 4. 769–771. 1 indexed citations
18.
Zhang, Yan, Ning Jing, Shangming Yang, & Hong‐Liang Cui. (2007). Field test investigation of fiber optic seismic geophone in oilfield exploration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6770. 677005–677005. 7 indexed citations
19.
Wang, Xichang, et al.. (2005). A new weight factor spectrophotometric computer color matching. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5637. 693–693. 1 indexed citations
20.
Yang, Shangming & Jie Hu. (2004). Java Parallel Implementations of Kohonen Self-Organizing Feature Maps. 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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