Xin Fang

28 papers and 342 indexed citations i.

About

Xin Fang is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Xin Fang has authored 28 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Obstetrics and Gynecology and 7 papers in Oncology. Recurrent topics in Xin Fang’s work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Xin Fang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Xin Fang collaborates with scholars based in China, United States and United Kingdom. Xin Fang's co-authors include Bing Wu, Dan Liu, Liting Qian, Yue Xing, Ziqiang Wang, Ling Ma, Yu Zhang, Kaiyue Zhang, Xiao Xu and Wanhong Xu and has published in prestigious journals such as Vaccine, Molecular Cancer Therapeutics and Journal of Magnetic Resonance Imaging.

In The Last Decade

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

Fields of papers citing papers by Xin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Fang

Since Specialization
Citations

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