Fa-Long Luo

33 papers and 342 indexed citations i.

About

Fa-Long Luo is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Fa-Long Luo has authored 33 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Signal Processing and 7 papers in Computational Mechanics. Recurrent topics in Fa-Long Luo’s work include Neural Networks and Applications (17 papers), Blind Source Separation Techniques (12 papers) and Advanced Adaptive Filtering Techniques (6 papers). Fa-Long Luo is often cited by papers focused on Neural Networks and Applications (17 papers), Blind Source Separation Techniques (12 papers) and Advanced Adaptive Filtering Techniques (6 papers). Fa-Long Luo collaborates with scholars based in China, Germany and United States. Fa-Long Luo's co-authors include R. Unbehauen, Zheng Bao, Bernard Widrow, Andrzej Cichocki, Arye Nehorai, Jun Yang, Chaslav V. Pavlovic, Mikko Valkama, Yanda Li and E. Bertrán and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Fa-Long Luo i

Fields of papers citing papers by Fa-Long Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Long Luo. 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 Fa-Long Luo. The network helps show where Fa-Long Luo may publish in the future.

Countries citing papers authored by Fa-Long Luo

Since Specialization
Citations

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