Meng Ge

40 papers and 336 indexed citations i.

About

Meng Ge is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Meng Ge has authored 40 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Signal Processing and 9 papers in Molecular Biology. Recurrent topics in Meng Ge’s work include Speech and Audio Processing (22 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (16 papers). Meng Ge is often cited by papers focused on Speech and Audio Processing (22 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (16 papers). Meng Ge collaborates with scholars based in China, Singapore and Japan. Meng Ge's co-authors include Xian‐Ming Pan, Haizhou Li, Jianwu Dang, Chenglin Xu, Longbiao Wang, Eng Siong Chng, Zexu Pan, Lingxiang Zhu, Zhi‐Xin Wang and Guocheng Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Meng Ge i

Fields of papers citing papers by Meng Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meng Ge

Since Specialization
Citations

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