Feng Feng

205 papers and 3.2k indexed citations i.

About

Feng Feng is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Feng has authored 205 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Neurology and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Feng’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Pituitary Gland Disorders and Treatments (22 papers). Feng Feng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Pituitary Gland Disorders and Treatments (22 papers). Feng Feng collaborates with scholars based in China, United States and Hong Kong. Feng Feng's co-authors include Zhengyu Jin, Mingli Li, Hui You, Shan Gao, Bo Hou, Weihai Xu, Jun Ni, Sarah Pauley, Bernd Fritzsch and Veronica Matei and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

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

Fields of papers citing papers by Feng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Feng

Since Specialization
Citations

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