Eileen Hwuang

739 total citations · 1 hit paper
11 papers, 451 citations indexed

About

Eileen Hwuang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eileen Hwuang has authored 11 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eileen Hwuang's work include Advanced MRI Techniques and Applications (4 papers), Pregnancy and preeclampsia studies (3 papers) and Maternal and fetal healthcare (2 papers). Eileen Hwuang is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Pregnancy and preeclampsia studies (3 papers) and Maternal and fetal healthcare (2 papers). Eileen Hwuang collaborates with scholars based in United States and United Kingdom. Eileen Hwuang's co-authors include Walter R. Witschey, John A. Detre, Paris Perdikaris, Yibo Yang, Georgios Kissas, Brianna F. Moon, Srikant Kamesh Iyer, Yuchi Han, Michael Solomon and Harold Litt and has published in prestigious journals such as Magnetic Resonance in Medicine, Computer Methods in Applied Mechanics and Engineering and Journal of Magnetic Resonance Imaging.

In The Last Decade

Eileen Hwuang

10 papers receiving 435 citations

Hit Papers

Machine learning in cardiovascular flows modeling: Predic... 2019 2026 2021 2023 2019 100 200 300

Peers

Eileen Hwuang
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 238
  • Computational Mechanics 117
  • Artificial Intelligence 68
  • Radiology, Nuclear Medicine and Imaging 68
  • Cardiology and Cardiovascular Medicine 63
Replace Georgios Kissas with:
Georgios Kissas United States
Xiaoning Zheng United States
Mikael Mortensen Norway
Andrew Comerford Germany
Hessam Babaee United States
Hyoungsu Baek United States
Stefania Fresca Italy
Alexander Grahn Germany
Jian Cheng Wong Singapore
Yifei Guan United States
Georgios Kissas United States View profile →
Citations per field, relative to Eileen Hwuang
Eileen Hwuang · 1×
Citations per year, relative to Eileen Hwuang
Eileen Hwuang · 1×

Countries citing papers authored by Eileen Hwuang

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Hwuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eileen Hwuang

This figure shows the co-authorship network connecting the top 25 collaborators of Eileen Hwuang. A scholar is included among the top collaborators of Eileen Hwuang 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 Eileen Hwuang. Eileen Hwuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 5
3 4
4 3
5 4
6
Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning
3
7 18
8
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks breakdown →
394
9 16
10 2
11 2

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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2026