Hang Su

About

Hang Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Hang Su has authored 7 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Hang Su’s work include Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Hang Su is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Hang Su collaborates with scholars based in United Kingdom, China and United States. Hang Su's co-authors include Chen Xu, James Hays, Geneviève Patterson, Xiatian Zhu, Shaogang Gong, Congan Xu, Long Gao, Erkang Chen, Yu Zhou and Song Li and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and Remote Sensing.

In The Last Decade

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

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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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