Hang Dai

58 papers and 756 indexed citations i.

About

Hang Dai is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Building and Construction. According to data from OpenAlex, Hang Dai has authored 58 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Civil and Structural Engineering and 10 papers in Building and Construction. Recurrent topics in Hang Dai’s work include Structural Behavior of Reinforced Concrete (8 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Neural Network Applications (7 papers). Hang Dai is often cited by papers focused on Structural Behavior of Reinforced Concrete (8 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Neural Network Applications (7 papers). Hang Dai collaborates with scholars based in China, United Arab Emirates and United Kingdom. Hang Dai's co-authors include Yong Ding, Nick Pears, William A. P. Smith, Christian A. Duncan, Ling Shao, Sohail Ahmed Khan, Jiale Li, Shuo Wang, Huaixin Chen and Tian-Zhu Xiang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Hang Dai i

Fields of papers citing papers by Hang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Dai

Since Specialization
Citations

This map shows the geographic impact of Hang Dai'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 Hang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Dai 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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2025