Jun Huang

About

Jun Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jun Huang has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Jun Huang’s work include Advanced Image and Video Retrieval Techniques (10 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (9 papers). Jun Huang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (9 papers). Jun Huang collaborates with scholars based in China, United States and Singapore. Jun Huang's co-authors include Benjamin Balas, A. Raj, Lucian Ilie, Ruth Rosenholtz, Guoliang Xing, Xiaoyuan Ma, Jianming Wei, Minghui Qiu, Xiaokang Yang and Rui Zhang and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Molecular Therapy.

In The Last Decade

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

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Fields of papers citing papers by Jun Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Huang

Since Specialization

Citations

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