Siteng Huang

13 papers and 150 indexed citations i.

About

Siteng Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Siteng Huang has authored 13 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Cancer Research. Recurrent topics in Siteng Huang’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (8 papers) and Cancer-related molecular mechanisms research (3 papers). Siteng Huang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (8 papers) and Cancer-related molecular mechanisms research (3 papers). Siteng Huang collaborates with scholars based in China, United States and Germany. Siteng Huang's co-authors include Donglin Wang, Zhengyu Chen, Min Zhang, Yiliang Lv, Donglin Wang, Yuyuan Li, Badong Chen, Yulin Pan, Jianwen Jiang and Bin Wang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nanoscale Horizons and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Siteng Huang i

Fields of papers citing papers by Siteng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siteng Huang

Since Specialization
Citations

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