Hai Su

41 papers and 1.6k indexed citations i.

About

Hai Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Hai Su has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 9 papers in Biophysics. Recurrent topics in Hai Su’s work include AI in cancer detection (19 papers), Cell Image Analysis Techniques (8 papers) and Digital Imaging for Blood Diseases (7 papers). Hai Su is often cited by papers focused on AI in cancer detection (19 papers), Cell Image Analysis Techniques (8 papers) and Digital Imaging for Blood Diseases (7 papers). Hai Su collaborates with scholars based in United States, China and Australia. Hai Su's co-authors include Fuyong Xing, Lin Yang, Yuanpu Xie, Fujun Liu, Xiangfei Kong, Qian Wang, Kui Ren, Xiaoshuang Shi, Juhua Liu and Bo Du and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Hai Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Su

Since Specialization
Citations

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