Albert Hsiao

3.3k total citations
98 papers, 2.0k citations indexed

About

Albert Hsiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Albert Hsiao has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Pulmonary and Respiratory Medicine and 22 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Albert Hsiao's work include Advanced MRI Techniques and Applications (21 papers), Cardiac Imaging and Diagnostics (19 papers) and Congenital Heart Disease Studies (15 papers). Albert Hsiao is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Cardiac Imaging and Diagnostics (19 papers) and Congenital Heart Disease Studies (15 papers). Albert Hsiao collaborates with scholars based in United States, Netherlands and France. Albert Hsiao's co-authors include Shreyas Vasanawala, Marcus T. Alley, Michael Lustig, Shankar Subramaniam, Evan Masutani, Naeim Bahrami, Jerrold M. Olefsky, Tara Retson, Seth Kligerman and Dorothy D. Sears and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Albert Hsiao

90 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Albert Hsiao United States 26 882 558 482 470 309 98 2.0k
Jingfei Ma United States 30 2.1k 2.4× 236 0.4× 267 0.6× 428 0.9× 210 0.7× 121 3.1k
Alois M. Sprinkart Germany 28 1.2k 1.4× 1.0k 1.8× 596 1.2× 233 0.5× 110 0.4× 120 2.7k
Alexander Cavallaro Germany 25 699 0.8× 193 0.3× 155 0.3× 541 1.2× 209 0.7× 95 2.5k
Sergios Gatidis Germany 32 1.9k 2.2× 186 0.3× 164 0.3× 615 1.3× 242 0.8× 168 3.4k
Evrim Türkbey United States 30 1.8k 2.0× 1.6k 2.9× 291 0.6× 677 1.4× 226 0.7× 94 3.6k
Tadashi Araki Japan 27 574 0.7× 763 1.4× 219 0.5× 760 1.6× 177 0.6× 91 1.8k
Reza Arsanjani United States 23 1.1k 1.3× 1.1k 2.0× 216 0.4× 228 0.5× 91 0.3× 175 2.1k
Lorenzo L. Pesce United States 25 321 0.4× 325 0.6× 139 0.3× 249 0.5× 293 0.9× 65 1.9k
Sven Zuehlsdorff United States 23 1.6k 1.8× 535 1.0× 252 0.5× 293 0.6× 37 0.1× 75 2.0k
Mathieu Léderlin France 24 667 0.8× 455 0.8× 151 0.3× 921 2.0× 45 0.1× 89 1.8k

Countries citing papers authored by Albert Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Albert Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Hsiao

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

All Works

20 of 20 papers shown
1.
Masutani, Evan, Sílvia Montserrat, S Prat, et al.. (2025). Characteristics of left ventricular dysfunction in repaired tetralogy of Fallot: A multi-institutional deep learning analysis of regional strain and dyssynchrony. Journal of Cardiovascular Magnetic Resonance. 27(1). 101886–101886.
2.
Tavakoli, Neda, Zahra Shakeri Hossein Abad, Arash Bedayat, et al.. (2025). Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges. Radiology. 317(2). e242961–e242961.
3.
Hsiao, Albert, et al.. (2024). Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning. Radiology Cardiothoracic Imaging. 6(6). e240005–e240005.
4.
Hasenstab, Kyle, et al.. (2023). Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features. IEEE Access. 11. 5144–5160. 9 indexed citations
5.
Masutani, Evan, Chiara Zocchi, Lewis D. Hahn, et al.. (2023). Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiology Cardiothoracic Imaging. 5(3). e220202–e220202. 6 indexed citations
6.
Hasenstab, Kyle, Nick H. Kim, Michael M. Madani, et al.. (2023). Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT. Radiology Cardiothoracic Imaging. 5(4). e220221–e220221. 3 indexed citations
7.
Masutani, Evan, et al.. (2023). Deep learning phase error correction for cerebrovascular 4D flow MRI. Scientific Reports. 13(1). 9095–9095. 2 indexed citations
8.
Puyol‐Antón, Esther, Kuberan Pushparajah, Sanjeet Hegde, et al.. (2023). A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot. Journal of Cardiovascular Magnetic Resonance. 25(1). 15–15. 8 indexed citations
9.
Ormiston, Cameron K., et al.. (2022). May-Thurner syndrome in patients with postural orthostatic tachycardia syndrome and Ehlers-Danlos syndrome: a case series. European Heart Journal - Case Reports. 6(4). ytac161–ytac161. 9 indexed citations
10.
Mahmoodi, Amin, Andrew Yen, Kathleen Jacobs, et al.. (2022). Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers. IEEE Access. 10. 48577–48588. 4 indexed citations
11.
Hsiao, Albert, et al.. (2022). Mitral Valve Prolapse—The Role of Cardiac Imaging Modalities. Structural Heart. 6(2). 100024–100024. 3 indexed citations
12.
Hasenstab, Kyle, et al.. (2021). CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT. Radiology Artificial Intelligence. 4(1). e210211–e210211. 7 indexed citations
13.
Raimondi, Francesca, Duarte Martins, Diala Khraiche, et al.. (2021). Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation. Radiology Cardiothoracic Imaging. 3(6). e210161–e210161. 8 indexed citations
14.
Hasenstab, Kyle, Tara Retson, Douglas Conrad, et al.. (2021). Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiology Cardiothoracic Imaging. 3(2). e200477–e200477. 42 indexed citations
15.
Kupsky, Daniel, et al.. (2021). 4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization. Radiology Cardiothoracic Imaging. 3(2). e200446–e200446. 13 indexed citations
16.
Masutani, Evan, Naeim Bahrami, & Albert Hsiao. (2020). Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI. Radiology. 295(3). 552–561. 91 indexed citations
17.
Wang, Kang, Adrija Mamidipalli, Tara Retson, et al.. (2019). Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. Radiology Artificial Intelligence. 1(2). 180022–180022. 98 indexed citations
18.
Hsiao, Albert, et al.. (2018). Early Hemodynamic Response Assessment of Stereotactic Radiosurgery for a Cerebral Arteriovenous Malformation Using 4D Flow MRI. American Journal of Neuroradiology. 39(4). 678–681. 13 indexed citations
19.
Chelu, Raluca G., Annemien E. van den Bosch, Matthijs van Kranenburg, et al.. (2015). Qualitative grading of aortic regurgitation: a pilot study comparing CMR 4D flow and echocardiography. International journal of cardiac imaging. 32(2). 301–307. 29 indexed citations
20.
Millward, Steven F., John F. Cardella, & Albert Hsiao. (2009). Emerging Technologies Articles. Journal of Vascular and Interventional Radiology. 20(7). S487–S487. 1 indexed citations

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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