Shubo Lv

11 papers and 466 indexed citations i.

About

Shubo Lv is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shubo Lv has authored 11 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 9 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Shubo Lv’s work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (9 papers) and Music and Audio Processing (6 papers). Shubo Lv is often cited by papers focused on Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (9 papers) and Music and Audio Processing (6 papers). Shubo Lv collaborates with scholars based in China and United States. Shubo Lv's co-authors include Lei Xie, Yanxin Hu, Shimin Zhang, Yihui Fu, Mengtao Xing, Jian Wu, Yun Liu, Yannan Wang, Tao Yu and Lei Xie and has published in prestigious journals such as 2022 IEEE Spoken Language Technology Workshop (SLT), Interspeech 2022 and 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

In The Last Decade

Co-authorship network of co-authors of Shubo Lv i

Fields of papers citing papers by Shubo Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubo Lv

Since Specialization
Citations

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