Dengfeng Ke

About

Dengfeng Ke is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dengfeng Ke has authored 31 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dengfeng Ke’s work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (16 papers) and Music and Audio Processing (14 papers). Dengfeng Ke is often cited by papers focused on Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (16 papers) and Music and Audio Processing (14 papers). Dengfeng Ke collaborates with scholars based in China, Australia and United States. Dengfeng Ke's co-authors include Yanyan Xu, Kaile Su, Linkai Peng, Zhicheng Wu, Shuai Nie, Bin Liu, Wenju Liu, Shan Liang, Bin Huang and Ling Lü and has published in prestigious journals such as Neural Networks, Speech Communication and Computational Intelligence and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Dengfeng Ke i

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Fields of papers citing papers by Dengfeng Ke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dengfeng Ke

Since Specialization

Citations

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