Hsuan‐Ming Huang

512 total citations
42 papers, 385 citations indexed

About

Hsuan‐Ming Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Hsuan‐Ming Huang has authored 42 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 5 papers in Radiation. Recurrent topics in Hsuan‐Ming Huang's work include Medical Imaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (21 papers) and Advanced X-ray and CT Imaging (10 papers). Hsuan‐Ming Huang is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (21 papers) and Advanced X-ray and CT Imaging (10 papers). Hsuan‐Ming Huang collaborates with scholars based in Taiwan, United States and China. Hsuan‐Ming Huang's co-authors include Cheng‐Huang Lin, Ing‐Tsung Hsiao, Raymond F. Muzic, Yu-Chun Lin, Chih‐Chieh Liu, Tracy A McElfresh, Chih‐Hong Hwang, Yiming Li, Emmanuel A. Theodorakis and Mark A. Haidekker and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Magnetic Resonance in Medicine.

In The Last Decade

Hsuan‐Ming Huang

36 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsuan‐Ming Huang Taiwan 13 196 106 54 47 43 42 385
Michael Heidenreich Germany 12 98 0.5× 262 2.5× 46 0.9× 36 0.8× 207 4.8× 33 545
Antonio Benassi Italy 13 255 1.3× 77 0.7× 32 0.6× 12 0.3× 18 0.4× 40 420
Andrew Green United Kingdom 11 114 0.6× 34 0.3× 18 0.3× 86 1.8× 34 0.8× 44 381
Mujeeb A. Sultan Saudi Arabia 8 106 0.5× 108 1.0× 17 0.3× 8 0.2× 58 1.3× 27 469
Hiba Omer Saudi Arabia 9 153 0.8× 87 0.8× 14 0.3× 37 0.8× 13 0.3× 47 261
Koichi Shibuya Japan 9 256 1.3× 104 1.0× 16 0.3× 44 0.9× 18 0.4× 18 370
Michael Hamm Germany 7 501 2.6× 102 1.0× 12 0.2× 83 1.8× 7 0.2× 7 564
Ping-Chun Chiao United States 12 444 2.3× 130 1.2× 8 0.1× 103 2.2× 43 1.0× 19 622
Ersin Bayram United States 14 417 2.1× 98 0.9× 6 0.1× 36 0.8× 57 1.3× 34 729
Guillermo Márquez United States 12 310 1.6× 255 2.4× 14 0.3× 14 0.3× 30 0.7× 23 524

Countries citing papers authored by Hsuan‐Ming Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hsuan‐Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsuan‐Ming Huang. 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 Hsuan‐Ming Huang. The network helps show where Hsuan‐Ming Huang may publish in the future.

Co-authorship network of co-authors of Hsuan‐Ming Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsuan‐Ming Huang. A scholar is included among the top collaborators of Hsuan‐Ming Huang 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 Hsuan‐Ming Huang. Hsuan‐Ming Huang 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.
Chang, Yun-feng, et al.. (2023). Differentiation between normal and abnormal kidneys using 99mTc-DMSA SPECT with deep learning in paediatric patients. Clinical Radiology. 78(8). 584–589. 6 indexed citations
2.
Huang, Hsuan‐Ming. (2022). An unsupervised convolutional neural network method for estimation of intravoxel incoherent motion parameters. Physics in Medicine and Biology. 67(21). 215018–215018. 12 indexed citations
3.
Huang, Hsuan‐Ming, et al.. (2022). Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior. Journal of Digital Imaging. 35(4). 834–845. 8 indexed citations
4.
Huang, Hsuan‐Ming, et al.. (2021). Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning. Journal of Digital Imaging. 34(1). 149–161. 15 indexed citations
5.
Marra, Giancarlo, Jian Zhuang, Alessandro Marquis, et al.. (2020). Pain in men undergoing transperineal free-hand mpMRI fusion-targeted biopsies under local anesthesia: Outcomes and predictors from a multicenter study of 1008 patients. European Urology Open Science. 19. e2316–e2316. 1 indexed citations
6.
Huang, Hsuan‐Ming. (2020). Kernel-based curve-fitting method with spatial regularization for generation of parametric images in dynamic PET. Physics in Medicine and Biology. 65(22). 225006–225006. 4 indexed citations
7.
Lin, Yu-Chun & Hsuan‐Ming Huang. (2020). Denoising of multi b-value diffusion-weighted MR images using deep image prior. Physics in Medicine and Biology. 65(10). 105003–105003. 21 indexed citations
8.
9.
Liu, Chih‐Chieh & Hsuan‐Ming Huang. (2019). A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study. Physica Medica. 69. 110–119. 16 indexed citations
10.
Huang, Hsuan‐Ming & Ing‐Tsung Hsiao. (2017). Combining Acceleration Techniques for Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction. BioMed Research International. 2017. 1–10. 1 indexed citations
11.
Lin, Chieh, et al.. (2016). Total variation–based method for generation of intravoxel incoherent motion parametric images inMRI. Magnetic Resonance in Medicine. 78(4). 1383–1391. 10 indexed citations
12.
Huang, Hsuan‐Ming, et al.. (2014). Assessment of hepatic fatty infiltration using dual-energy computed tomography: a phantom study. Physiological Measurement. 35(4). 597–606. 15 indexed citations
13.
Huang, Hsuan‐Ming, et al.. (2014). Acceleration of MAP-EM algorithm via over-relaxation. Computerized Medical Imaging and Graphics. 40. 100–107. 1 indexed citations
14.
Huang, Hsuan‐Ming, Visvanathan Chandramouli, Faramarz Ismail‐Beigi, & Raymond F. Muzic. (2012). Hyperglycemia-induced stimulation of glucose transport in skeletal muscle measured by PET- [18F]6FDG and [18F]2FDG. Physiological Measurement. 33(10). 1661–1673. 5 indexed citations
15.
Muzic, Raymond F., Visvanathan Chandramouli, Hsuan‐Ming Huang, et al.. (2011). Analysis of metabolism of 6FDG: a PET glucose transport tracer. Nuclear Medicine and Biology. 38(5). 667–674. 6 indexed citations
16.
Hsiao, Ing‐Tsung & Hsuan‐Ming Huang. (2010). An accelerated ordered subsets reconstruction algorithm using an accelerating power factor for emission tomography. Physics in Medicine and Biology. 55(3). 599–614. 8 indexed citations
17.
Huang, Hsuan‐Ming, et al.. (2010). Imaging of Flow Patterns with Fluorescent Molecular Rotors. Journal of Fluorescence. 20(5). 1087–1098. 23 indexed citations
18.
Fang, Yu-Hua, et al.. (2009). Integrated Software Environment Based on COMKAT for Analyzing Tracer Pharmacokinetics with Molecular Imaging. Journal of Nuclear Medicine. 51(1). 77–84. 18 indexed citations
19.
Huang, Hsuan‐Ming, Ing‐Tsung Hsiao, Christian Wietholt, & Ching‐Han Hsu. (2006). A voxel-based partial volume correction in nuclear medicine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6144. 61446P–61446P. 1 indexed citations
20.
Huang, Hsuan‐Ming & Cheng‐Huang Lin. (2004). Methanol plug assisted sweeping-micellar electrokinetic chromatography for the determination of dopamine in urine by violet light emitting diode-induced fluorescence detection. Journal of Chromatography B. 816(1-2). 113–119. 38 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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