Guangchun Luo

75 papers and 1.6k indexed citations i.

About

Guangchun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Guangchun Luo has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Guangchun Luo’s work include Privacy-Preserving Technologies in Data (12 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Advanced Graph Neural Networks (8 papers). Guangchun Luo is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Advanced Graph Neural Networks (8 papers). Guangchun Luo collaborates with scholars based in China, United States and Canada. Guangchun Luo's co-authors include Ke Qin, Chunbao Li, Chunhu Li, Ying Ma, Aiguo Chen, Xue Zeng, Ling Tian, Zhipeng Cai, Guangyi Chen and Junming Shao and has published in prestigious journals such as Sensors, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Guangchun Luo i

Fields of papers citing papers by Guangchun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangchun Luo

Since Specialization
Citations

This map shows the geographic impact of Guangchun Luo'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 Guangchun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangchun Luo 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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2025