Ya Li

71 papers and 537 indexed citations i.

About

Ya Li is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ya Li has authored 71 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 21 papers in Experimental and Cognitive Psychology and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ya Li’s work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (13 papers) and Emotion and Mood Recognition (12 papers). Ya Li is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (13 papers) and Emotion and Mood Recognition (12 papers). Ya Li collaborates with scholars based in China, Germany and United States. Ya Li's co-authors include Jianhua Tao, Mingyue Niu, Zheng Lian, Jian Huang, Zhengqi Wen, Wei Bao, Linlin Chao, Xinmei Tian, Björn W. Schuller and Zhiwei Xiong and has published in prestigious journals such as Energy Conversion and Management, Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Ya Li i

Fields of papers citing papers by Ya Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Li

Since Specialization
Citations

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