Shengying Yang

494 total citations
39 papers, 327 citations indexed

About

Shengying Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shengying Yang has authored 39 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Shengying Yang's work include Advanced Neural Network Applications (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Processing Techniques (5 papers). Shengying Yang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Processing Techniques (5 papers). Shengying Yang collaborates with scholars based in China, Australia and Iran. Shengying Yang's co-authors include A.S. El-Shafay, Ali Taghvaie Nakhjiri, Saade Abdalkareem Jasim, Supat Chupradit, Dmitry Olegovich Bokov, Huibin Qin, Xiaohong Qian, Xu Wang, Xiaolin Liang and T. Aaron Gulliver and has published in prestigious journals such as Scientific Reports, IEEE Access and Fuel.

In The Last Decade

Shengying Yang

30 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengying Yang China 8 84 70 62 49 46 39 327
Zhiyao Luo China 6 68 0.8× 45 0.6× 66 1.1× 54 1.1× 18 0.4× 10 281
Yuanyuan Xu China 9 63 0.8× 73 1.0× 36 0.6× 38 0.8× 16 0.3× 27 294
Jinlu Sheng China 9 95 1.1× 20 0.3× 8 0.1× 32 0.7× 48 1.0× 31 307
H. León Mexico 11 39 0.5× 39 0.6× 19 0.3× 20 0.4× 5 0.1× 23 238
Song Han China 15 39 0.5× 25 0.4× 30 0.5× 46 0.9× 13 0.3× 48 504
Chenhui Zhou China 7 24 0.3× 24 0.3× 14 0.2× 41 0.8× 8 0.2× 28 292
Mohanad Alata Jordan 10 32 0.4× 24 0.3× 13 0.2× 131 2.7× 21 0.5× 20 349
A. Kavitha India 10 35 0.4× 84 1.2× 44 0.7× 50 1.0× 4 0.1× 44 383
Md. Abdul Kader Bangladesh 10 44 0.5× 159 2.3× 7 0.1× 69 1.4× 21 0.5× 55 401

Countries citing papers authored by Shengying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shengying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengying Yang. A scholar is included among the top collaborators of Shengying 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 Shengying Yang. Shengying 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, Shengying, et al.. (2025). MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems. Sensors. 25(15). 4611–4611.
2.
Yang, Shengying, et al.. (2024). SvRetina-LPD: A Sliding Vertex-Based RetinaNet for Robust Multi-Oriented License Plate Detection. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16421–16434. 3 indexed citations
3.
Huang, Liya, et al.. (2024). Sequence-Aware Graph Neural Network Incorporating Neighborhood Information for Session-Based Recommendation. International Journal of Computational Intelligence Systems. 17(1).
4.
Yang, Shengying, et al.. (2024). Significant feature suppression and cross-feature fusion networks for fine-grained visual classification. Scientific Reports. 14(1). 24051–24051. 2 indexed citations
5.
Yang, Shengying, et al.. (2024). FCPFNet: Feature Complementation Network with Pyramid Fusion for Semantic Segmentation. Neural Processing Letters. 56(2). 3 indexed citations
6.
Li, Ran, et al.. (2024). Joint extraction model of entity relations based on decomposition strategy. Scientific Reports. 14(1). 1786–1786. 2 indexed citations
7.
8.
Yang, Shengying, et al.. (2024). A dual branch attention network based on practical degradation model for face super resolution. Scientific Reports. 14(1). 28064–28064. 1 indexed citations
9.
Yang, Shengying, et al.. (2024). Adaptive Memory-Augmented Unfolding Network for Compressed Sensing. Sensors. 24(24). 8085–8085.
10.
11.
Yang, Shengying, et al.. (2023). Optimized hadoop map reduce system for strong analytics of cloud big product data on amazon web service. Information Processing & Management. 60(3). 103271–103271. 7 indexed citations
12.
Lei, Jingsheng, et al.. (2023). Pairwise Guided Multilayer Cross-Fusion Network for Bird Image Recognition. Electronics. 12(18). 3817–3817.
13.
Yang, Shengying, et al.. (2023). A Novel Lightweight Object Detection Network with Attention Modules and Hierarchical Feature Pyramid. Symmetry. 15(11). 2080–2080. 2 indexed citations
14.
Li, Yuexin, et al.. (2023). A Multi-Behavior Recommendation Method for Users Based on Graph Neural Networks. Applied Sciences. 13(16). 9315–9315. 1 indexed citations
15.
Lei, Jingsheng, et al.. (2023). Influence of Review Properties in the Usefulness Analysis of Consumer Reviews: A Review-Based Recommender System for Rating Prediction. Neural Processing Letters. 55(8). 11035–11054. 3 indexed citations
16.
Yang, Shengying, et al.. (2023). Pragmatic degradation learning for scene text image super-resolution with data-training strategy. Knowledge-Based Systems. 285. 111349–111349. 5 indexed citations
17.
Wang, Jing, Yifei Lin, Denian Wang, et al.. (2023). Metatranscriptomic analysis revealed Prevotella as a potential biomarker of oropharyngeal microbiomes in SARS-CoV-2 infection. Frontiers in Cellular and Infection Microbiology. 13. 1161763–1161763. 5 indexed citations
18.
Qian, Xiaohong, et al.. (2023). Pixel-Level Degradation for Text Image Super-Resolution and Recognition. Electronics. 12(21). 4546–4546. 1 indexed citations
19.
Lei, Jingsheng, et al.. (2022). Multiscale Progressive Complementary Fusion Network for Fine-Grained Visual Classification. IEEE Access. 10. 62800–62810. 3 indexed citations
20.
Yang, Shengying, et al.. (2019). Speech Enhancement Using Generative Adversarial Network by Distilling Knowledge from Statistical Method. Applied Sciences. 9(16). 3396–3396. 15 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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