Liangji Fang

10 papers and 559 indexed citations i.

About

Liangji Fang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Liangji Fang has authored 10 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 2 papers in Aerospace Engineering. Recurrent topics in Liangji Fang’s work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Liangji Fang is often cited by papers focused on Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Liangji Fang collaborates with scholars based in China and Hong Kong. Liangji Fang's co-authors include Qinhong Jiang, Bolei Zhou, Xu Zhao, Jinghuai Zhang, Yicheng Liu, Xiao Song, Jianping Shi, Hanwen Hu, Yizhou Yu and Shiquan Zhang and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Liangji Fang i

Fields of papers citing papers by Liangji Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liangji Fang

Since Specialization
Citations

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