Shiyang Chen

52 total papers · 479 total citations
27 papers, 146 citations indexed

About

Shiyang Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shiyang Chen has authored 27 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Shiyang Chen's work include Advanced Graph Neural Networks (3 papers), Graph Theory and Algorithms (3 papers) and Multimodal Machine Learning Applications (3 papers). Shiyang Chen is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Graph Theory and Algorithms (3 papers) and Multimodal Machine Learning Applications (3 papers). Shiyang Chen collaborates with scholars based in China, United States and Japan. Shiyang Chen's co-authors include Caiwen Ding, Takehisa Hanawa, Yayoi Kawano, Weiwen Jiang, Hang Liu, Jinbo Bi, Ang Li, Tong Geng, Bingbing Li and Hongwu Peng and has published in prestigious journals such as NeuroImage, International Journal of Pharmaceutics and International Journal of Biological Macromolecules.

In The Last Decade

Shiyang Chen

24 papers receiving 145 citations

Author Peers

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

Author						Papers	Cites
Shiyang Chen	48	45	31	16	14	27	146
Lijie Wang	68 1.4×	50 1.1×	15 0.5×	15 0.9×	6 0.4×	36	203
Hongyang Zhang	175 3.6×	56 1.2×	14 0.5×	5 0.3×	6 0.4×	29	221
Wujie Wen	47 1.0×	34 0.8×	52 1.7×	6 0.4×	32 2.3×	16	126
Guang Chen	43 0.9×	58 1.3×	41 1.3×	5 0.3×	53 3.8×	22	167
Na Lv	18 0.4×	56 1.2×	31 1.0×	3 0.2×	12 0.9×	31	168
Kailash J. Karande	31 0.6×	75 1.7×	31 1.0×	3 0.2×	5 0.4×	36	180
Sergey Serebryakov	78 1.6×	26 0.6×	91 2.9×	4 0.3×	21 1.5×	29	209
S. Uma	16 0.3×	39 0.9×	79 2.5×	4 0.3×	8 0.6×	28	189
P. Malin Bruntha	47 1.0×	29 0.6×	49 1.6×	2 0.1×	13 0.9×	43	214
Garima Gupta	49 1.0×	34 0.8×	31 1.0×	4 0.3×	7 0.5×	34	225

Countries citing papers authored by Shiyang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shiyang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyang Chen. A scholar is included among the top collaborators of Shiyang Chen 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 Shiyang Chen. Shiyang Chen 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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