Ming Feng

60 papers and 576 indexed citations i.

About

Ming Feng is a scholar working on Molecular Biology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming Feng has authored 60 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Artificial Intelligence and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming Feng’s work include Pituitary Gland Disorders and Treatments (9 papers), Speech and Audio Processing (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ming Feng is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Speech and Audio Processing (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ming Feng collaborates with scholars based in China, United States and Iran. Ming Feng's co-authors include Xuemei Tong, Yemin Zhu, Hao Xu, Lifang Wu, Yakui Li, Shuhai Lin, Ying Lu, Lingfeng Tong, Minle Li and Jie Zhong and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Diabetes.

In The Last Decade

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

Fields of papers citing papers by Ming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Feng

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025