Dijun Luo

29 papers and 522 indexed citations i.

About

Dijun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Dijun Luo has authored 29 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Dijun Luo’s work include Face and Expression Recognition (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Image Retrieval and Classification Techniques (4 papers). Dijun Luo is often cited by papers focused on Face and Expression Recognition (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Image Retrieval and Classification Techniques (4 papers). Dijun Luo collaborates with scholars based in United States, China and Canada. Dijun Luo's co-authors include Heng Huang, Chris Ding, Feiping Nie, Hua Wang, Xiaojun Zhu, Guihai Chen, Xiaobing Wu, Walter F. Stewart, Jimeng Sun and Jianying Hu and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Dijun Luo i

Fields of papers citing papers by Dijun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dijun Luo

Since Specialization
Citations

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