Ling Cen

38 papers and 645 indexed citations i.

About

Ling Cen is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Cen has authored 38 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Cen’s work include Anomaly Detection Techniques and Applications (7 papers), Antenna Design and Optimization (4 papers) and Sports Analytics and Performance (4 papers). Ling Cen is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Antenna Design and Optimization (4 papers) and Sports Analytics and Performance (4 papers). Ling Cen collaborates with scholars based in United Arab Emirates, China and Singapore. Ling Cen's co-authors include Zhu Liang Yu, Dymitr Ruta, Wee Ser, Wei Cen, Jason Ng, Malin Song, Xi Liang, Yutao Wang, Donald Huisingh and Ron Fisher and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Biomedical Engineering and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Ling Cen i

Fields of papers citing papers by Ling Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Cen

Since Specialization
Citations

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