John Ming

About

John Ming is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, John Ming has authored 3 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in John Ming’s work include Evolutionary Algorithms and Applications (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Image and Object Detection Techniques (1 paper). John Ming is often cited by papers focused on Evolutionary Algorithms and Applications (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Image and Object Detection Techniques (1 paper). John Ming collaborates with scholars based in United States and South Korea. John Ming's co-authors include Bir Bhanu and Sungkee Lee and has published in prestigious journals such as Pattern Recognition, International Journal of Pattern Recognition and Artificial Intelligence and IEEE Transactions on Systems Man and Cybernetics.

In The Last Decade

Co-authorship network of co-authors of John Ming i

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Fields of papers citing papers by John Ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Ming

Since Specialization

Citations

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