Mengling Feng

115 papers and 5.6k indexed citations i.

About

Mengling Feng is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Mengling Feng has authored 115 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 29 papers in Epidemiology and 26 papers in Surgery. Recurrent topics in Mengling Feng’s work include Hemodynamic Monitoring and Therapy (20 papers), Machine Learning in Healthcare (19 papers) and Sepsis Diagnosis and Treatment (18 papers). Mengling Feng is often cited by papers focused on Hemodynamic Monitoring and Therapy (20 papers), Machine Learning in Healthcare (19 papers) and Sepsis Diagnosis and Treatment (18 papers). Mengling Feng collaborates with scholars based in Singapore, United States and China. Mengling Feng's co-authors include Leo Anthony Celi, Roger G. Mark, Peter Szolovits, Mohammad M. Ghassemi, Tom Pollard, Alistair E. W. Johnson, Benjamin Moody, Joon Lee, John Danziger and Lan Xiang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Mengling Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mengling Feng

Since Specialization
Citations

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