Junqi Jin

10 papers and 1.1k indexed citations i.

About

Junqi Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Junqi Jin has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Mechanical Engineering. Recurrent topics in Junqi Jin’s work include Non-Destructive Testing Techniques (2 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Junqi Jin is often cited by papers focused on Non-Destructive Testing Techniques (2 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Junqi Jin collaborates with scholars based in China, United Kingdom and United States. Junqi Jin's co-authors include Changshui Zhang, Kun Fu, Kun Gai, Han Li, Ying Fan, Zhu Han, Guorui Zhou, Xiao Ma, Xiaoqiang Zhu and Runpeng Cui and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Acta Biomaterialia and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Junqi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junqi Jin

Since Specialization
Citations

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

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