Hang Qi

10 papers and 159 indexed citations i.

About

Hang Qi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hang Qi has authored 10 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hang Qi’s work include COVID-19 diagnosis using AI (1 paper), Tensor decomposition and applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Hang Qi is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Tensor decomposition and applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Hang Qi collaborates with scholars based in China, United States and South Korea. Hang Qi's co-authors include Evan Sparks, Ameet Talwalkar, Danping He, Zhangdui Zhong, Ke Guan, Bo Ai, Ming–Hsuan Yang, Boqing Gong, Yin Cui and Chun-Han Yao and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and Accident Analysis & Prevention.

In The Last Decade

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

Fields of papers citing papers by Hang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Qi

Since Specialization
Citations

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