Liu Ya

37 papers and 604 indexed citations i.

About

Liu Ya is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liu Ya has authored 37 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Mechanical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liu Ya’s work include Extraction and Separation Processes (10 papers), Recycling and Waste Management Techniques (10 papers) and Chaos-based Image/Signal Encryption (8 papers). Liu Ya is often cited by papers focused on Extraction and Separation Processes (10 papers), Recycling and Waste Management Techniques (10 papers) and Chaos-based Image/Signal Encryption (8 papers). Liu Ya collaborates with scholars based in China, Belgium and United States. Liu Ya's co-authors include Zhenhong Wang, Qingming Song, Lingen Zhang, Wei Lü, Zhenming Xu, Zhenming Xu, Ruitong Gao, Dawu Gu, Lingling Wu and Dai Dai and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and IEEE Transactions on Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Liu Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liu Ya

Since Specialization
Citations

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