Shengying Yang

55 total papers · 483 total citations
39 papers, 324 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 324 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 Canada. Shengying Yang's co-authors include Supat Chupradit, Saade Abdalkareem Jasim, Dmitry Olegovich Bokov, Ali Taghvaie Nakhjiri, A.S. El-Shafay, Xiaohong Qian, Huibin Qin, Xu Wang, T. Aaron Gulliver and Xiaolin Liang and has published in prestigious journals such as Scientific Reports, Fuel and IEEE Access.

In The Last Decade

Shengying Yang

29 papers receiving 313 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shengying Yang	82	70	62	47	46	39	324
Yuanyuan Xu	63 0.8×	73 1.0×	36 0.6×	38 0.8×	16 0.3×	27	294
Haonan Wang	56 0.7×	25 0.4×	32 0.5×	87 1.9×	17 0.4×	24	349
Jintao Zhang	56 0.7×	131 1.9×	56 0.9×	22 0.5×	6 0.1×	28	326
Minghai Li	19 0.2×	61 0.9×	21 0.3×	22 0.5×	23 0.5×	31	327
Yan Liang	55 0.7×	17 0.2×	73 1.2×	35 0.7×	14 0.3×	29	349
Jiayi Wang	26 0.3×	36 0.5×	21 0.3×	24 0.5×	43 0.9×	20	272
Viorel Mînzu	54 0.7×	18 0.3×	18 0.3×	31 0.7×	48 1.0×	56	279
Jinlu Sheng	95 1.2×	20 0.3×	8 0.1×	31 0.7×	47 1.0×	31	305
Yungang Zhu	57 0.7×	24 0.3×	9 0.1×	120 2.6×	27 0.6×	23	324
Tao Gong	32 0.4×	42 0.6×	14 0.2×	66 1.4×	20 0.4×	45	259

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

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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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