Shiyu Liang

48 total papers · 2.0k total citations
20 papers, 219 citations indexed

About

Shiyu Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shiyu Liang has authored 20 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Shiyu Liang's work include Stochastic Gradient Optimization Techniques (4 papers), Neural Networks and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Shiyu Liang is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Neural Networks and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Shiyu Liang collaborates with scholars based in China, United States and France. Shiyu Liang's co-authors include Jiawei Luo, R. Srikant, Ramakrishnan Srikant, Ruoyu Sun, Yixuan Li, Tian Ding, Jason D. Lee, Xiaolin Yu, Shuai Lü and Rui‐tian Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Shiyu Liang

18 papers receiving 207 citations

Author Peers

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

Author Last Decade Papers Cites
Shiyu Liang 90 54 32 12 11 20 219
Shengjun Pan 107 1.2× 37 0.7× 38 1.2× 5 0.4× 14 1.3× 32 260
Md. Mohaiminul Islam 42 0.5× 67 1.2× 33 1.0× 6 0.5× 31 2.8× 27 201
Shengyu Zhu 91 1.0× 67 1.2× 21 0.7× 21 1.8× 25 2.3× 26 296
Daniel Liu 92 1.0× 39 0.7× 37 1.2× 5 0.4× 38 3.5× 22 214
Meijing Li 76 0.8× 103 1.9× 13 0.4× 3 0.3× 18 1.6× 26 278
Jing Zhang 43 0.5× 41 0.8× 53 1.7× 5 0.4× 25 2.3× 13 311
Jingyu Shao 37 0.4× 66 1.2× 31 1.0× 6 0.5× 4 0.4× 16 227
Nicolas Wicker 76 0.8× 156 2.9× 17 0.5× 6 0.5× 8 0.7× 24 295
Thomas Wollmann 86 1.0× 49 0.9× 72 2.3× 6 0.5× 30 2.7× 14 249
Wei Zhao 28 0.3× 92 1.7× 81 2.5× 7 0.6× 5 0.5× 19 262

Countries citing papers authored by Shiyu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shiyu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyu Liang

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