Saiping Guan

About

Saiping Guan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saiping Guan has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Saiping Guan’s work include Topic Modeling (11 papers), Advanced Graph Neural Networks (7 papers) and Data Quality and Management (5 papers). Saiping Guan is often cited by papers focused on Topic Modeling (11 papers), Advanced Graph Neural Networks (7 papers) and Data Quality and Management (5 papers). Saiping Guan collaborates with scholars based in China. Saiping Guan's co-authors include Xiaolong Jin, Xueqi Cheng, Jiafeng Guo, Yuanzhuo Wang, Zixuan Li, Zixuan Li, Wei Li, Huawei Shen, Long Bai and Wei Li and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and arXiv (Cornell University).

In The Last Decade

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

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Fields of papers citing papers by Saiping Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saiping Guan

Since Specialization

Citations

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