Ian Huang

5 papers and 210 indexed citations i.

About

Ian Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ian Huang has authored 5 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Ian Huang’s work include Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sperm and Testicular Function (1 paper). Ian Huang is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sperm and Testicular Function (1 paper). Ian Huang collaborates with scholars based in United States, Taiwan and Hong Kong. Ian Huang's co-authors include Ray C. C. Cheung, Abdurrashid Ibrahim Sanka, Muhammad Irfan, Yuting Zhang, Honglak Lee, Zhiyuan He, Yijie Guo, Leonidas Guibas, Minhyuk Sung and Panos Achlioptas and has published in prestigious journals such as Computer Communications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Ian Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ian Huang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025