Mengling Feng

256 total papers · 12.1k total citations
130 papers, 6.9k citations indexed

About

Mengling Feng is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Mengling Feng has authored 130 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 31 papers in Epidemiology and 27 papers in Surgery. Recurrent topics in Mengling Feng's work include Machine Learning in Healthcare (22 papers), Sepsis Diagnosis and Treatment (20 papers) and Hemodynamic Monitoring and Therapy (20 papers). Mengling Feng is often cited by papers focused on Machine Learning in Healthcare (22 papers), Sepsis Diagnosis and Treatment (20 papers) and Hemodynamic Monitoring and Therapy (20 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, Tom Pollard, Mohammad M. Ghassemi, Alistair E. W. Johnson, Benjamin Moody, Yap‐Peng Tan, Xiang Lan and Joon Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Mengling Feng

114 papers receiving 6.7k citations

Hit Papers

MIMIC-III, a freely acces... 2016 2026 2019 2022 2016 2025 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mengling Feng 3.4k 1.6k 1.0k 956 919 130 6.9k
Mohammad M. Ghassemi 3.0k 0.9× 1.4k 0.9× 957 0.9× 651 0.7× 861 0.9× 66 6.0k
Tom Pollard 4.4k 1.3× 2.6k 1.6× 1.1k 1.1× 1.1k 1.2× 987 1.1× 41 8.7k
Alistair E. W. Johnson 4.7k 1.4× 2.7k 1.7× 2.4k 2.3× 1.4k 1.5× 1.0k 1.1× 88 10.9k
Peter Szolovits 7.0k 2.0× 2.2k 1.4× 1.1k 1.0× 1.1k 1.1× 2.6k 2.8× 177 13.4k
Michael E. Matheny 1.0k 0.3× 1.9k 1.2× 1.2k 1.1× 1.0k 1.1× 907 1.0× 264 9.6k
Patrick Ryan 1.3k 0.4× 928 0.6× 805 0.8× 742 0.8× 1.4k 1.5× 216 8.6k
Benjamin Moody 3.5k 1.0× 1.8k 1.1× 2.0k 1.9× 1.1k 1.2× 903 1.0× 19 7.7k
Azra Bihorac 1.1k 0.3× 1.8k 1.2× 2.1k 2.0× 2.0k 2.1× 596 0.6× 206 9.0k
Benjamin S. Glicksberg 1.7k 0.5× 513 0.3× 920 0.9× 360 0.4× 816 0.9× 183 6.5k
Ameen Abu‐Hanna 857 0.2× 1.9k 1.2× 916 0.9× 930 1.0× 582 0.6× 301 7.7k

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).

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.

Co-authorship network of co-authors of Mengling Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Mengling Feng. A scholar is included among the top collaborators of Mengling Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengling Feng. Mengling Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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