Jia-Hong Huang

14 papers and 188 indexed citations i.

About

Jia-Hong Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jia-Hong Huang has authored 14 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Jia-Hong Huang’s work include Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (6 papers). Jia-Hong Huang is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (6 papers). Jia-Hong Huang collaborates with scholars based in The Netherlands, United States and Saudi Arabia. Jia-Hong Huang's co-authors include Marcel Worring, Ting-Wei Wu, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Cees G. M. Snoek, R. Di Sipio, Pascal Mettes, Tao Hu, Marta Mrak and Bernard Ghanem and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jia-Hong Huang i

Fields of papers citing papers by Jia-Hong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jia-Hong Huang

Since Specialization
Citations

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