Qinghua Huang

217 papers and 4.9k indexed citations i.

About

Qinghua Huang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Qinghua Huang has authored 217 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 64 papers in Radiology, Nuclear Medicine and Imaging and 54 papers in Artificial Intelligence. Recurrent topics in Qinghua Huang’s work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Ultrasound Imaging and Elastography (24 papers). Qinghua Huang is often cited by papers focused on AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Ultrasound Imaging and Elastography (24 papers). Qinghua Huang collaborates with scholars based in China, Hong Kong and United States. Qinghua Huang's co-authors include Xuelong Li, Jiangfeng Hu, Xuelong Li, Yaozhong Luo, Yong‐Ping Zheng, Longzhong Liu, Feiniu Yuan, Hui Li, Yanping Huang and Jie Sun and has published in prestigious journals such as Bioinformatics, PLoS ONE and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Qinghua Huang i

Fields of papers citing papers by Qinghua Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qinghua Huang

Since Specialization
Citations

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