Adrian J. Chung

16 papers and 259 indexed citations i.

About

Adrian J. Chung is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Adrian J. Chung has authored 16 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Computational Mechanics. Recurrent topics in Adrian J. Chung’s work include Robotics and Sensor-Based Localization (7 papers), Medical Image Segmentation Techniques (7 papers) and 3D Shape Modeling and Analysis (6 papers). Adrian J. Chung is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Medical Image Segmentation Techniques (7 papers) and 3D Shape Modeling and Analysis (6 papers). Adrian J. Chung collaborates with scholars based in United Kingdom, Canada and Trinidad and Tobago. Adrian J. Chung's co-authors include Guang‐Zhong Yang, Fani Deligianni, Mirna Lerotic, George Mylonas, M. Stella Atkins, Mohamed Elhelw, A. J. Field, Marios Nicolaou, James Clark and Pallav L. Shah and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Image and Vision Computing and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Adrian J. Chung i

Fields of papers citing papers by Adrian J. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian J. Chung. 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 Adrian J. Chung. The network helps show where Adrian J. Chung may publish in the future.

Countries citing papers authored by Adrian J. Chung

Since Specialization
Citations

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