Mengling Feng

12.4k total citations · 2 hit papers
131 papers, 7.0k citations indexed

About

Mengling Feng is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Mengling Feng has authored 131 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 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 (23 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 (23 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, Mohammad M. Ghassemi, Tom Pollard, 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

115 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MIMIC-III, a freely accessible critical care database

2016 4.7k citations Mengling Feng, Mohammad M. Ghassemi et al. profile →
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

2025 41 citations Qika Lin, Mengling Feng et al. Information Fusion profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	From screens to scenes: A survey of embodied AI in healthcare 2025 ·Information Fusion ·(unknown), Xu Cao, Tingting Chen, (unknown), (unknown), Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen	7
2	Evidential time-to-event prediction with calibrated uncertainty quantification 2025 ·International Journal of Approximate Reasoning ·Ling Huang, (unknown), Swapnil Mishra, Thierry Denœux, Mengling Feng	1
3	A cost-effective predictive tool for AFP-negative focal hepatic lesions of retrospective study: enhancing clinical triage and decision-making 2025 ·PeerJ ·Yu‐Feng Lin, (unknown), Mengling Feng, (unknown), Chang-Meng Wu, (unknown), Ling Ji, Yong Xia	0
4	Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric Analysis 2025 ·JMIR Medical Informatics ·(unknown), Meng Zhang, (unknown), (unknown), Junqing Xie, Peng Shen, (unknown), Mengling Feng, Seng Chan You, Feng Sun	0
5	Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis 2025 ·IEEE Transactions on Fuzzy Systems ·(unknown), Qika Lin, Huaxuan Wen, (unknown), Mengling Feng, Kenli Li	1
6	Smart Imitator: Learning from Imperfect Clinical Decisions 2024 ·Journal of the American Medical Informatics Association ·(unknown), (unknown), Kay Choong See, Mengling Feng	0
7	Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare 2024 ·Shenda Hong, (unknown), (unknown), Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, (unknown), Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang	4
8	Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model 2023 ·JMIR Cancer ·(unknown), (unknown), Yul Hwangbo, Chong Woo Yoo, (unknown), Mengling Feng	4
9	Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach 2023 ·Interdisciplinary Sciences Computational Life Sciences ·(unknown), Jiajun Qiu, (unknown), (unknown), Qicheng Lao, Xiaorong Zhong, Mengling Feng, Hao Du, Shaoliang Peng, Yulan Peng	4
10	Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers 2022 ·Journal of Digital Imaging ·Yee Liang Thian, (unknown), James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, Soon Yiew Sia, (unknown), Swee Tian Quek, Mengling Feng	19
11	FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Mengling Feng	5
12	Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus 2022 ·International Journal of Environmental Research and Public Health ·(unknown), (unknown), (unknown), (unknown), Karen Tan, See Ling Loy, Kok Hian Tan, Jerry Kok Yen Chan, Keith M. Godfrey, Shiao‐Yng Chan, Yap Seng Chong, Johan G. Eriksson, Mengling Feng, Neerja Karnani	14
13	Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study 2022 ·JMIR Diabetes ·(unknown), (unknown), (unknown), Shu‐E Soh, Kok Hian Tan, Jerry Kok Yen Chan, Keith M. Godfrey, Shiao‐Yng Chan, Yap Seng Chong, Johan G. Eriksson, Mengling Feng, Neerja Karnani	15
14	Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach 2021 ·BMJ Open Gastroenterology ·Hao Du, Kewin Tien Ho Siah, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Mengru Liu, (unknown), (unknown), Mengling Feng	5
15	Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis 2021 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Shigeo Hagiwara, Atsuya Watanabe, Swee Tian Quek, Hiroshi Yoshioka, Mengling Feng	39
16	Association of fluid balance with mortality in sepsis is modified by admission hemoglobin levels: A large database study 2021 ·PLoS ONE ·(unknown), Yuan Zhang, Ying Chen, Kay Choong See, Mengling Feng	6
17	Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study 2021 ·Radiology Artificial Intelligence ·Yee Liang Thian, Dianwen Ng, James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, Soon Yiew Sia, Cher Heng Tan, (unknown), Pin Lin Kei, (unknown), (unknown), Swee Tian Quek, Mengling Feng	30
18	One-year mortality after recovery from critical illness: A retrospective cohort study 2018 ·PLoS ONE ·Sharukh Lokhandwala, (unknown), Abdullah Chahin, (unknown), Mengling Feng, Mohammad M. Ghassemi, David J. Stone, Leo Anthony Celi	13
19	Increased incidence of diuretic use in critically ill obese patients 2015 ·DSpace@MIT (Massachusetts Institute of Technology) ·(unknown), (unknown), Joon Lee, Mengling Feng, Roger G. Mark, Leo Anthony Celi, Kenneth J. Mukamal, John Danziger	0
20	The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients 2014 ·Critical Care ·André Dejam, Brian Malley, Mengling Feng, Federico Cismondi, (unknown), (unknown), (unknown), Duane S. Pinto, Leo Anthony Celi	18

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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