Michael K. Ng

595 papers and 18.0k indexed citations i.

About

Michael K. Ng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Michael K. Ng has authored 595 papers receiving a total of 18.0k indexed citations (citations by other indexed papers that have themselves been cited), including 265 papers in Computer Vision and Pattern Recognition, 179 papers in Computational Mechanics and 111 papers in Artificial Intelligence. Recurrent topics in Michael K. Ng’s work include Sparse and Compressive Sensing Techniques (149 papers), Image and Signal Denoising Methods (140 papers) and Matrix Theory and Algorithms (104 papers). Michael K. Ng is often cited by papers focused on Sparse and Compressive Sensing Techniques (149 papers), Image and Signal Denoising Methods (140 papers) and Matrix Theory and Algorithms (104 papers). Michael K. Ng collaborates with scholars based in Hong Kong, China and United States. Michael K. Ng's co-authors include Zhong‐Zhi Bai, Gene H. Golub, Raymond H. Chan, Mila Nikolova, Wai‐Ki Ching, Joshua Zhexue Huang, Yumei Huang, Liping Jing, Xi-Le Zhao and You‐Wei Wen and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.

In The Last Decade

Co-authorship network of co-authors of Michael K. Ng i

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Fields of papers citing papers by Michael K. Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael K. Ng

Since Specialization

Citations

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