Hsin‐Jung Yang

562 total citations
33 papers, 370 citations indexed

About

Hsin‐Jung Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hsin‐Jung Yang has authored 33 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hsin‐Jung Yang's work include Cardiac Imaging and Diagnostics (24 papers), Advanced MRI Techniques and Applications (24 papers) and Medical Imaging Techniques and Applications (11 papers). Hsin‐Jung Yang is often cited by papers focused on Cardiac Imaging and Diagnostics (24 papers), Advanced MRI Techniques and Applications (24 papers) and Medical Imaging Techniques and Applications (11 papers). Hsin‐Jung Yang collaborates with scholars based in United States, Canada and China. Hsin‐Jung Yang's co-authors include Rohan Dharmakumar, Ivan Cokic, Avinash Kali, Debiao Li, Behzad Sharif, Richard Tang, Xiaoming Bi, Daniel S. Berman, Eduardo Marbán and Frank S. Prato and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Hsin‐Jung Yang

29 papers receiving 370 citations

Peers

Hsin‐Jung Yang
Avinash Kali United States
Abiola J Oki United States
Enn-Ling Chen United States
Christoph A. Nienaber United States
Jonathan M Hasleton United Kingdom
Joshi Cherayath Australia
Niko Tzemos United Kingdom
Avinash Kali United States
Hsin‐Jung Yang
Citations per year, relative to Hsin‐Jung Yang Hsin‐Jung Yang (= 1×) peers Avinash Kali

Countries citing papers authored by Hsin‐Jung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Jung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Jung Yang. 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 Hsin‐Jung Yang. The network helps show where Hsin‐Jung Yang may publish in the future.

Co-authorship network of co-authors of Hsin‐Jung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Jung Yang. A scholar is included among the top collaborators of Hsin‐Jung Yang 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 Hsin‐Jung Yang. Hsin‐Jung Yang 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.
Huang, Li-Ting, Alan C. Kwan, Janet Wei, et al.. (2025). Improved Myocardial Tissue Characterization Using Delayed-Phase Dynamic Contrast-enhanced Cardiac MRI. Radiology Cardiothoracic Imaging. 7(4). e240393–e240393.
2.
Yang, Hsin‐Jung, Nader Binesh, Li‐Ting Huang, et al.. (2025). Improving fat saturation robustness in outer extremity MRI with a local shim coil insert. Magnetic Resonance in Medicine. 94(1). 401–413. 1 indexed citations
3.
Wang, Guan, Yun Bai, Yi Zhou, et al.. (2025). Clinical characteristics and multimodal imaging insights of coronary involvement in immunoglobulin G4–related disease. Frontiers in Immunology. 16. 1685508–1685508.
4.
Tao, Qian, et al.. (2025). Advanced Cardiac MRI: Integrating AI and Machine Learning for Post Imaging Reconstruction. Current Treatment Options in Cardiovascular Medicine. 27(1).
5.
Yang, Chia-Chi, Li‐Ting Huang, Chang Gao, et al.. (2024). Reliable Off-Resonance Correction in High-Field Cardiac MRI Using Autonomous Cardiac B0 Segmentation with Dual-Modality Deep Neural Networks. Bioengineering. 11(3). 210–210. 3 indexed citations
6.
Zhang, Na, Fardad Michael Serry, Chia-Chi Yang, et al.. (2024). Enhancing Whole-Brain Magnetic Field Homogeneity for 3D-Magnetic Resonance Spectroscopic Imaging with a Novel Unified Coil: A Preliminary Study. Cancers. 16(6). 1233–1233. 2 indexed citations
7.
Yang, Hsin‐Jung, Nan Wang, Hui Han, et al.. (2024). Non‐electrocardiogram‐gated, free‐breathing, off‐resonance reduced, high‐resolution, whole‐heart myocardial T2* mapping at 3 T within 5 min. Magnetic Resonance in Medicine. 91(5). 1936–1950. 4 indexed citations
8.
Bi, Xiaoming, Hsu‐Lei Lee, Anthony Christodoulou, et al.. (2024). Correcting motion-induced B0 shim failure at 3T CMR using a deep-learning-enabled 3D motion-resolved B0 shimming. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
9.
Wang, Nan, Yibin Xie, Sen Ma, et al.. (2023). Integrated high-order B0 shimming for multiparametric quantitative liver imagingat 3T using a UNIfied Coil (UNIC). Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
10.
Liu, Ting, Andrew G. Howarth, Yinyin Chen, et al.. (2022). Intramyocardial Hemorrhage and the “Wave Front” of Reperfusion Injury Compromising Myocardial Salvage. Journal of the American College of Cardiology. 79(1). 35–48. 49 indexed citations
11.
Chen, Yinyin, Daoyuan Ren, Hsin‐Jung Yang, et al.. (2021). Quantification of myocardial hemorrhage using T2* cardiovascular magnetic resonance at 1.5T with ex-vivo validation. Journal of Cardiovascular Magnetic Resonance. 23(1). 104–104. 6 indexed citations
13.
Yang, Hsin‐Jung, Damini Dey, Jane Sykes, et al.. (2020). Heart Rate−Independent 3D Myocardial Blood Oxygen Level−Dependent MRI at 3.0 T with Simultaneous 13N−Ammonia PET Validation. Radiology. 295(1). 82–93. 6 indexed citations
14.
Yang, Hsin‐Jung, İlkay Öksüz, Damini Dey, et al.. (2019). Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging. Science Translational Medicine. 11(494). 11 indexed citations
15.
Wang, Guan, Hsin‐Jung Yang, Avinash Kali, et al.. (2018). Influence of Myocardial Hemorrhage on Staging of Reperfused Myocardial Infarctions With T2 Cardiac Magnetic Resonance Imaging. JACC. Cardiovascular imaging. 12(4). 693–703. 16 indexed citations
16.
Cokic, Ivan, Kolja Wawrowsky, Avinash Kali, et al.. (2017). MYOCARDIAL HEMORRHAGE AFTER CORONARY ISCHEMIA-REPERFUSION LEADS TO AN IRON-MEDIATED, SELF-PERPETUATING LOOP OF FOAM CELL AND CEROID ACCUMULATION. Journal of the American College of Cardiology. 69(11). 197–197. 2 indexed citations
17.
Cokic, Ivan, Avinash Kali, Richard Tang, et al.. (2017). AN UNRESTRAINED PROINFLAMMATORY M1 MACROPHAGE POPULATION INDUCED BY IRON NANOCRYSTALS IMPAIRS MYOCARDIAL HEALING AFTER HEMORRHAGIC INFARCTION. Journal of the American College of Cardiology. 69(11). 1446–1446. 1 indexed citations
18.
Kali, Avinash, Eui‐Young Choi, Behzad Sharif, et al.. (2015). Native T 1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions. JACC. Cardiovascular imaging. 8(9). 1019–1030. 67 indexed citations
19.
Kali, Avinash, Ivan Cokic, Hsin‐Jung Yang, Behzad Sharif, & Rohan Dharmakumar. (2015). Accuracy and precision of chronic myocardial infarct characterization with native T1 mapping at 3T. Journal of Cardiovascular Magnetic Resonance. 17. P166–P166. 1 indexed citations
20.
Yang, Hsin‐Jung, Roya Yumul, Richard Tang, et al.. (2014). Assessment of Myocardial Reactivity to Controlled Hypercapnia with Free-breathing T2-prepared Cardiac Blood Oxygen Level–Dependent MR Imaging. Radiology. 272(2). 397–406. 17 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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