Erpeng Dai

24 papers and 258 indexed citations i.

About

Erpeng Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Erpeng Dai has authored 24 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Erpeng Dai’s work include Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and MRI in cancer diagnosis (11 papers). Erpeng Dai is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and MRI in cancer diagnosis (11 papers). Erpeng Dai collaborates with scholars based in China, United States and United Kingdom. Erpeng Dai's co-authors include Hua Guo, Zhe Zhang, Xiaodong Ma, Chun Yuan, Zijing Dong, Fuyixue Wang, Jennifer A. McNab, Merry Mani, Yishi Wang and Zhixing Wang and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Human Brain Mapping.

In The Last Decade

Co-authorship network of co-authors of Erpeng Dai i

Fields of papers citing papers by Erpeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erpeng Dai

Since Specialization
Citations

This map shows the geographic impact of Erpeng Dai'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 Erpeng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erpeng Dai 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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2026