Ee Soong Low

About

Ee Soong Low is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ee Soong Low has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Ee Soong Low’s work include Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (3 papers) and Evolutionary Algorithms and Applications (2 papers). Ee Soong Low is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (3 papers) and Evolutionary Algorithms and Applications (2 papers). Ee Soong Low collaborates with scholars based in Malaysia. Ee Soong Low's co-authors include Pauline Ong, Cheng Yee Low, Rosli Omar, Sia Chee Kiong and Cheng Yee Low and has published in prestigious journals such as Expert Systems with Applications, Journal of the Science of Food and Agriculture and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Ee Soong Low i

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Fields of papers citing papers by Ee Soong Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ee Soong Low. 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 Ee Soong Low. The network helps show where Ee Soong Low may publish in the future.

Countries citing papers authored by Ee Soong Low

Since Specialization

Citations

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