Lu Gan

92 papers and 1.4k indexed citations i.

About

Lu Gan is a scholar working on Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lu Gan has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Signal Processing, 29 papers in Electrical and Electronic Engineering and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lu Gan’s work include Sparse and Compressive Sensing Techniques (19 papers), Image and Signal Denoising Methods (15 papers) and Blind Source Separation Techniques (12 papers). Lu Gan is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Image and Signal Denoising Methods (15 papers) and Blind Source Separation Techniques (12 papers). Lu Gan collaborates with scholars based in United Kingdom, China and United States. Lu Gan's co-authors include Trac D. Tran, T. Thong, Nam H. Nguyen, Kai‐Kuang Ma, Cong Ling, Yi Chen, Kezhi Li, Yaochun Shen, Yan Wu and Hao Shen and has published in prestigious journals such as Applied Physics Letters, Nature Cell Biology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Lu Gan i

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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