Su Wang

About

Su Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Su Wang has authored 20 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Su Wang’s work include Network Security and Intrusion Detection (3 papers), Multimodal Machine Learning Applications (2 papers) and earthquake and tectonic studies (2 papers). Su Wang is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Multimodal Machine Learning Applications (2 papers) and earthquake and tectonic studies (2 papers). Su Wang collaborates with scholars based in China and United States. Su Wang's co-authors include Harry W. Green, L. Dobrzhinetskaya, Xingang Shi, Han Zhang, Dongqi Han, Zhiliang Wang, Jiahai Yang, Xia Yin, Borja Peleato and Ying Zhong and has published in prestigious journals such as Science, IEEE Transactions on Medical Imaging and American Mineralogist.

In The Last Decade

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

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Fields of papers citing papers by Su Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Wang

Since Specialization

Citations

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