Qin Jin

43 papers and 1.6k indexed citations i.

About

Qin Jin is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Qin Jin has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Qin Jin’s work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (16 papers). Qin Jin is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (16 papers). Qin Jin collaborates with scholars based in United States, China and Germany. Qin Jin's co-authors include Jerry Lawless, Tanja Schultz, Alex Waibel, Yueqiang Shang, W.D. Andrews, Jiří Navrátil, Alan W. Black, Arthur R. Toth, Douglas A. Jones and J. Godfrey and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, The Annals of Statistics and European Journal of Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Qin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qin Jin

Since Specialization
Citations

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