Ken‐Pin Hwang

889 total citations
26 papers, 553 citations indexed

About

Ken‐Pin Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ken‐Pin Hwang has authored 26 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ken‐Pin Hwang's work include Advanced MRI Techniques and Applications (17 papers), MRI in cancer diagnosis (8 papers) and Medical Imaging Techniques and Applications (8 papers). Ken‐Pin Hwang is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), MRI in cancer diagnosis (8 papers) and Medical Imaging Techniques and Applications (8 papers). Ken‐Pin Hwang collaborates with scholars based in United States, Egypt and Japan. Ken‐Pin Hwang's co-authors include Jihong Wang, Clifton D. Fuller, Joseph Weygand, Yao Ding, Abdallah Mohamed, Jinzhong Yang, Geoffrey S. Ibbott, R. Jason Stafford, Steven J. Frank and Stephen Y. Lai and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Ken‐Pin Hwang

24 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken‐Pin Hwang United States 13 428 166 92 60 60 26 553
Lucy Kershaw United Kingdom 18 638 1.5× 137 0.8× 87 0.9× 205 3.4× 60 1.0× 42 861
Jesper Folsted Kallehauge Denmark 18 529 1.2× 226 1.4× 102 1.1× 274 4.6× 42 0.7× 56 955
Ting Song China 12 500 1.2× 47 0.3× 81 0.9× 159 2.6× 29 0.5× 27 699
Christian Geppert United States 20 1.2k 2.9× 65 0.4× 119 1.3× 252 4.2× 28 0.5× 33 1.4k
Muthana Al‐Ghazi United States 12 142 0.3× 226 1.4× 48 0.5× 153 2.5× 17 0.3× 47 409
D J Manton United Kingdom 13 601 1.4× 37 0.2× 57 0.6× 76 1.3× 30 0.5× 16 739
Scott Friesen United States 9 121 0.3× 164 1.0× 81 0.9× 192 3.2× 20 0.3× 31 421
Steven M. Shea United States 20 1.1k 2.5× 154 0.9× 86 0.9× 257 4.3× 53 0.9× 70 1.3k
Yusung Kim United States 20 608 1.4× 628 3.8× 217 2.4× 428 7.1× 23 0.4× 84 1.2k
Boon-Keng Kevin Teo United States 13 430 1.0× 580 3.5× 104 1.1× 512 8.5× 10 0.2× 16 883

Countries citing papers authored by Ken‐Pin Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐Pin Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐Pin Hwang. 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 Ken‐Pin Hwang. The network helps show where Ken‐Pin Hwang may publish in the future.

Co-authorship network of co-authors of Ken‐Pin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐Pin Hwang. A scholar is included among the top collaborators of Ken‐Pin Hwang 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 Ken‐Pin Hwang. Ken‐Pin Hwang 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.
Hwang, Ken‐Pin, Jingfei Ma, Usama Salem, et al.. (2025). T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study. Journal of Applied Clinical Medical Physics. 26(5). e70031–e70031.
3.
Salzillo, Travis C., Yao Ding, Ergys Subashi, et al.. (2025). Technical development and In Silico implementation of SyntheticMR in head and neck adaptive radiation therapy: A prospective R‐IDEAL stage 0/1 technology development report. Journal of Applied Clinical Medical Physics. 26(7). e70134–e70134.
4.
Amini, Behrang, Ken‐Pin Hwang, Jingfei Ma, et al.. (2025). Novel Use and Value of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic and Radiomic Features in Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response. JCO Clinical Cancer Informatics. 9(9). e2400042–e2400042. 2 indexed citations
6.
Nougaret, Stéphanie, Erica B. Stein, Gaiane M. Rauch, et al.. (2022). Update on MRI in Evaluation and Treatment of Endometrial Cancer. Radiographics. 42(7). 2112–2130. 58 indexed citations
7.
Hwang, Ken‐Pin, James A. Bankson, R. Jason Stafford, et al.. (2020). An information theory model for optimizing quantitative magnetic resonance imaging acquisitions. Physics in Medicine and Biology. 65(22). 225008–225008. 3 indexed citations
8.
Fujita, Shohei, Akifumi Hagiwara, Naoyuki Takei, et al.. (2020). Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing. Investigative Radiology. 56(5). 292–300. 26 indexed citations
9.
Qayyum, Aliya, Ken‐Pin Hwang, Jason Stafford, et al.. (2019). Immunotherapy response evaluation with magnetic resonance elastography (MRE) in advanced HCC. Journal for ImmunoTherapy of Cancer. 7(1). 329–329. 36 indexed citations
10.
Yang, Jinzhong, Sam Beddar, Geoffrey S. Ibbott, et al.. (2018). A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning. Physics in Medicine and Biology. 63(8). 85005–85005. 18 indexed citations
11.
Fuentes, David, et al.. (2018). Information theory optimization of acquisition parameters for improved synthetic MRI reconstruction. 1. 117–117. 1 indexed citations
12.
Wang, Jihong, Joseph Weygand, Ken‐Pin Hwang, et al.. (2016). Magnetic Resonance Imaging of Glucose Uptake and Metabolism in Patients with Head and Neck Cancer. Scientific Reports. 6(1). 30618–30618. 69 indexed citations
13.
Weavers, Paul T., Shengzhen Tao, Joshua D. Trzasko, et al.. (2016). Image-based gradient non-linearity characterization to determine higher-order spherical harmonic coefficients for improved spatial position accuracy in magnetic resonance imaging. Magnetic Resonance Imaging. 38. 54–62. 21 indexed citations
14.
Wen, Zhifei, Bjorn Stemkens, Rob H.N. Tijssen, et al.. (2016). 4D MR imaging using robust internal respiratory signal. Physics in Medicine and Biology. 61(9). 3472–3487. 20 indexed citations
15.
Weygand, Joseph, Clifton D. Fuller, Geoffrey S. Ibbott, et al.. (2016). Spatial Precision in Magnetic Resonance Imaging–Guided Radiation Therapy: The Role of Geometric Distortion. International Journal of Radiation Oncology*Biology*Physics. 95(4). 1304–1316. 122 indexed citations
16.
Hammoud, Rabih, et al.. (2016). Characterization of 3D geometric distortion of magnetic resonance imaging scanners commissioned for radiation therapy planning. Magnetic Resonance Imaging. 34(5). 645–653. 52 indexed citations
17.
Ahmad, Moiz, Yinan Liu, Elmar M. Merkle, et al.. (2010). A method for automatic identification of water and fat images from a symmetrically sampled dual-echo Dixon technique. Magnetic Resonance Imaging. 28(3). 427–433. 8 indexed citations
18.
Hwang, Ken‐Pin, et al.. (2010). Flow compensation for the fast spin echo triple-echo Dixon sequence. Magnetic Resonance Imaging. 29(2). 293–299. 1 indexed citations
19.
Duerk, Jeffrey L., Kim Butts, Ken‐Pin Hwang, & Jonathan S. Lewin. (2000). Pulse Sequences for Interventional Magnetic Resonance Imaging. Topics in Magnetic Resonance Imaging. 11(3). 147–162. 15 indexed citations
20.
Hwang, Ken‐Pin, et al.. (1999). Improved device definition in interventional magnetic resonance imaging using a rotated stripes keyhole acquisition. Magnetic Resonance in Medicine. 42(3). 554–560. 12 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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