Geok See Ng

45 papers and 599 indexed citations i.

About

Geok See Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Geok See Ng has authored 45 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Geok See Ng’s work include Neural Networks and Applications (24 papers), Fuzzy Logic and Control Systems (14 papers) and Face and Expression Recognition (6 papers). Geok See Ng is often cited by papers focused on Neural Networks and Applications (24 papers), Fuzzy Logic and Control Systems (14 papers) and Face and Expression Recognition (6 papers). Geok See Ng collaborates with scholars based in Singapore, United States and China. Geok See Ng's co-authors include Chai Quek, Tuan Zea Tan, E. Y. K. Ng, Theresa May Chin Tan, Feng Liu, Haiyong Jiang, Khalil Razvi, Daming Shi, Di Wang and Di Wang and has published in prestigious journals such as Expert Systems with Applications, Neural Computation and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Geok See Ng i

Fields of papers citing papers by Geok See Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geok See Ng. 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 Geok See Ng. The network helps show where Geok See Ng may publish in the future.

Countries citing papers authored by Geok See Ng

Since Specialization
Citations

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