Hang Su

8 papers and 300 indexed citations i.

About

Hang Su is a scholar working on Artificial Intelligence, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Hang Su has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Aerospace Engineering and 1 paper in Molecular Biology. Recurrent topics in Hang Su’s work include Topic Modeling (3 papers), Text and Document Classification Technologies (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Hang Su is often cited by papers focused on Topic Modeling (3 papers), Text and Document Classification Technologies (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Hang Su collaborates with scholars based in China, United Kingdom and Australia. Hang Su's co-authors include Ruifeng Xu, Bin Liang, Lin Gui, Erik Cambria, Wei Li, Min Yang, Huangcan Li, Dun Li, Liyan Tang and Hwanjun Song and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Hang Su i

Fields of papers citing papers by Hang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Su

Since Specialization
Citations

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