Cong Fang

13 papers and 394 indexed citations i.

About

Cong Fang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Cong Fang has authored 13 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Cong Fang’s work include COVID-19 diagnosis using AI (4 papers), Advanced Chemical Sensor Technologies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Cong Fang is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Advanced Chemical Sensor Technologies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Cong Fang collaborates with scholars based in China, Canada and Singapore. Cong Fang's co-authors include Yongzhi Cheng, Shi Gong, Xiang Bai, Jingcheng Zhao, Rongzhou Gong, Song Bai, Xudong Xie, Zhiqiang He, Yu Zhou and Lixin Qin and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Intelligent Transportation Systems and Theranostics.

In The Last Decade

Co-authorship network of co-authors of Cong Fang i

Fields of papers citing papers by Cong Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Fang

Since Specialization
Citations

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