Guodong Long

114 papers and 6.1k indexed citations i.

About

Guodong Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Guodong Long has authored 114 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 18 papers in Information Systems. Recurrent topics in Guodong Long’s work include Topic Modeling (26 papers), Advanced Graph Neural Networks (23 papers) and Recommender Systems and Techniques (15 papers). Guodong Long is often cited by papers focused on Topic Modeling (26 papers), Advanced Graph Neural Networks (23 papers) and Recommender Systems and Techniques (15 papers). Guodong Long collaborates with scholars based in Australia, United States and China. Guodong Long's co-authors include Chengqi Zhang, Shirui Pan, Zonghan Wu, Jing Jiang, Fengwen Chen, Philip S. Yu, Tianyi Zhou, Xiaojun Chang, Tao Shen and Lina Yao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Guodong Long i

Fields of papers citing papers by Guodong Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guodong Long

Since Specialization
Citations

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