Su Lee Goh

10 papers and 399 indexed citations i.

About

Su Lee Goh is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Su Lee Goh has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Su Lee Goh’s work include Neural Networks and Applications (9 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Blind Source Separation Techniques (4 papers). Su Lee Goh is often cited by papers focused on Neural Networks and Applications (9 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Blind Source Separation Techniques (4 papers). Su Lee Goh collaborates with scholars based in United Kingdom, Japan and United States. Su Lee Goh's co-authors include Danilo P. Mandic, Kazuyuki Aihara, Dobrivoje Popović, Dragan Obradović, Anthony Kuh, Phebe Vayanos and Mo Chen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Renewable Energy and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Su Lee Goh i

Fields of papers citing papers by Su Lee Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Lee Goh. 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 Su Lee Goh. The network helps show where Su Lee Goh may publish in the future.

Countries citing papers authored by Su Lee Goh

Since Specialization
Citations

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