Di Kang

20 papers and 442 indexed citations i.

About

Di Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Di Kang has authored 20 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Di Kang’s work include Human Pose and Action Recognition (5 papers), 3D Shape Modeling and Analysis (5 papers) and Video Surveillance and Tracking Methods (4 papers). Di Kang is often cited by papers focused on Human Pose and Action Recognition (5 papers), 3D Shape Modeling and Analysis (5 papers) and Video Surveillance and Tracking Methods (4 papers). Di Kang collaborates with scholars based in China, Hong Kong and United States. Di Kang's co-authors include Antoni B. Chan, Zheng Ma, Linchao Bao, Xuefei Zhe, Ruizhi Chen, Junsong Yuan, Zhigang Tu, Song–Hai Zhang, Yu He and Yuan-Chen Guo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Di Kang i

Fields of papers citing papers by Di Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Kang

Since Specialization
Citations

This map shows the geographic impact of Di Kang'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 Di Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Kang 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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2025