Hua Hua

About

Hua Hua is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hua Hua has authored 15 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hua Hua’s work include Advanced Semiconductor Detectors and Materials (3 papers), Traditional Chinese Medicine Studies (3 papers) and Multimodal Machine Learning Applications (2 papers). Hua Hua is often cited by papers focused on Advanced Semiconductor Detectors and Materials (3 papers), Traditional Chinese Medicine Studies (3 papers) and Multimodal Machine Learning Applications (2 papers). Hua Hua collaborates with scholars based in China, Australia and Macao. Hua Hua's co-authors include Jiongjiong Fan, Jie Liu, Xuehui Huang, Bin Han, Qí Zhāng, Xin Wei, Qin Wang, Jie Qiu, Kenneth M. Olsen and Kai Liu and has published in prestigious journals such as Nature Genetics, Journal of Applied Physics and Journal of Electronic Materials.

In The Last Decade

Co-authorship network of co-authors of Hua Hua i

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Fields of papers citing papers by Hua Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Hua

Since Specialization

Citations

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