Long Qin

26 papers and 179 indexed citations i.

About

Long Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Long Qin has authored 26 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Long Qin’s work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (4 papers). Long Qin is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (4 papers). Long Qin collaborates with scholars based in China, United States and Japan. Long Qin's co-authors include Hongmei Yan, Tao Deng, Alexander I. Rudnicky, B.S. Manjunath, Min Long, Fei Peng, Junrui Zhang, Xian-Shi Zhang, Yi Shi and Yongjie Li and has published in prestigious journals such as PLoS ONE, Sustainability and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Long Qin i

Fields of papers citing papers by Long Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Qin

Since Specialization
Citations

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