Sheng Guan

32 papers and 429 indexed citations i.

About

Sheng Guan is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheng Guan has authored 32 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheng Guan’s work include Advanced Graph Neural Networks (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Extracellular vesicles in disease (3 papers). Sheng Guan is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Extracellular vesicles in disease (3 papers). Sheng Guan collaborates with scholars based in China, United States and United Kingdom. Sheng Guan's co-authors include Mingxia Gao, Xiangmin Zhang, Guoquan Yan, Hailong Yu, Jiandong Zhao, Haoyang Zheng, Chunhui Deng, Xi Shao, Yinghui Wu and Ka Lok Man and has published in prestigious journals such as Analytical Chemistry, IEEE Access and Analytical and Bioanalytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Sheng Guan i

Fields of papers citing papers by Sheng Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Guan

Since Specialization
Citations

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

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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