Hong Chang

84 papers and 3.2k indexed citations i.

About

Hong Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Hong Chang has authored 84 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 15 papers in Biomedical Engineering. Recurrent topics in Hong Chang’s work include Video Surveillance and Tracking Methods (26 papers), Face and Expression Recognition (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Hong Chang is often cited by papers focused on Video Surveillance and Tracking Methods (26 papers), Face and Expression Recognition (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Hong Chang collaborates with scholars based in China, Hong Kong and United States. Hong Chang's co-authors include Dit‐Yan Yeung, Yimin Xiong, Xilin Chen, Shiguang Shan, Bingpeng Ma, Ruibing Hou, Xinqian Gu, Meina Kan, Bo Li and Wen Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Hong Chang i

Fields of papers citing papers by Hong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Chang

Since Specialization
Citations

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