Jun Chang

46 papers and 345 indexed citations i.

About

Jun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Chang has authored 46 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Jun Chang’s work include Video Surveillance and Tracking Methods (16 papers), Recommender Systems and Techniques (7 papers) and Topic Modeling (7 papers). Jun Chang is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Recommender Systems and Techniques (7 papers) and Topic Modeling (7 papers). Jun Chang collaborates with scholars based in China, Australia and United States. Jun Chang's co-authors include Jing Li, Jia Wu, Bo Du, Donghua Liu, Xiaohong Han, Kaiyuan Wang, Rong Gao, Xuefei Li, Jun Wan and Shan Xue and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Jun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Chang

Since Specialization
Citations

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