De Jong Yeong

9 total papers · 1.1k total citations
3 papers, 525 citations indexed

About

De Jong Yeong is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, De Jong Yeong has authored 3 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Automotive Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in De Jong Yeong’s work include Autonomous Vehicle Technology and Safety (2 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (1 paper). De Jong Yeong is often cited by papers focused on Autonomous Vehicle Technology and Safety (2 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (1 paper). De Jong Yeong collaborates with scholars based in Ireland. De Jong Yeong's co-authors include J. L. Walsh, Gustavo Velasco-Hernandez, John M. Barry and John Barry and has published in prestigious journals such as Sensors and Preprints.org.

In The Last Decade

Co-authorship network of co-authors of De Jong Yeong

This figure shows the co-authorship network connecting the top 25 collaborators of De Jong Yeong. A scholar is included among the top collaborators of De Jong Yeong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with De Jong Yeong. De Jong Yeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

De Jong Yeong

3 papers receiving 510 citations

Fields of papers citing papers by De Jong Yeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De Jong Yeong. 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 De Jong Yeong. The network helps show where De Jong Yeong may publish in the future.

Countries citing papers authored by De Jong Yeong

Since Specialization
Citations

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