Lu Jin

15 papers and 355 indexed citations i.

About

Lu Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Lu Jin has authored 15 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Management Science and Operations Research. Recurrent topics in Lu Jin’s work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (7 papers) and Image Retrieval and Classification Techniques (7 papers). Lu Jin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (7 papers) and Image Retrieval and Classification Techniques (7 papers). Lu Jin collaborates with scholars based in China, United States and Hong Kong. Lu Jin's co-authors include Jinhui Tang, Zechao Li, Dan E. Tamir, Abraham Kandel, Guo-Jun Qi, Shenghua Gao, Kai Li, Kai Li, Fu Xiao and Hao Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Lu Jin i

Fields of papers citing papers by Lu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lu Jin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025