Ming Dai

68 papers and 709 indexed citations i.

About

Ming Dai is a scholar working on Oncology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ming Dai has authored 68 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Ming Dai’s work include Electrical and Bioimpedance Tomography (4 papers), Traditional Chinese Medicine Studies (4 papers) and Acupuncture Treatment Research Studies (3 papers). Ming Dai is often cited by papers focused on Electrical and Bioimpedance Tomography (4 papers), Traditional Chinese Medicine Studies (4 papers) and Acupuncture Treatment Research Studies (3 papers). Ming Dai collaborates with scholars based in China, Taiwan and United States. Ming Dai's co-authors include Yong Geng, Tsuyoshi Fujita, Minoru Fujii, Satoshi Ohnishi, Liang Dong, Ming Zhu, Liqiang Guo, Zeqing Song, Zhigang Wang and Yonglin Lu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Cleaner Production.

In The Last Decade

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

Fields of papers citing papers by Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Dai

Since Specialization
Citations

This map shows the geographic impact of Ming 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 Ming Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming 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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2025