Kuan‐Hao Su

1.1k total citations
40 papers, 853 citations indexed

About

Kuan‐Hao Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Kuan‐Hao Su has authored 40 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 9 papers in Radiation. Recurrent topics in Kuan‐Hao Su's work include Medical Imaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (16 papers) and Advanced X-ray and CT Imaging (12 papers). Kuan‐Hao Su is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (16 papers) and Advanced X-ray and CT Imaging (12 papers). Kuan‐Hao Su collaborates with scholars based in United States, China and Taiwan. Kuan‐Hao Su's co-authors include Raymond F. Muzic, Pengjiang Qian, Yizhang Jiang, Shitong Wang, David W. Jordan, Kaifa Zhao, Manoj Narayanan, Bryan Traughber, Jeffrey Kolthammer and Lingzhi Hu and has published in prestigious journals such as NeuroImage, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Kuan‐Hao Su

38 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Hao Su United States 16 507 212 182 149 140 40 853
Joyita Dutta United States 20 865 1.7× 426 2.0× 240 1.3× 96 0.6× 137 1.0× 58 1.3k
Ioannis Kalatzis Greece 19 356 0.7× 119 0.6× 193 1.1× 294 2.0× 72 0.5× 73 946
Ning Guo United States 10 444 0.9× 189 0.9× 186 1.0× 133 0.9× 70 0.5× 22 774
Jiliu Zhou China 19 576 1.1× 185 0.9× 565 3.1× 303 2.0× 113 0.8× 76 1.3k
Lauren Kim United States 14 469 0.9× 133 0.6× 207 1.1× 347 2.3× 28 0.2× 35 1.0k
Yueyang Teng China 16 613 1.2× 198 0.9× 266 1.5× 295 2.0× 51 0.4× 78 1.1k
Qianjin Feng China 14 293 0.6× 190 0.9× 133 0.7× 146 1.0× 38 0.3× 51 689
Xue Feng United States 19 715 1.4× 286 1.3× 208 1.1× 285 1.9× 263 1.9× 86 1.4k
Shan Yang Switzerland 12 466 0.9× 227 1.1× 331 1.8× 151 1.0× 45 0.3× 43 1.1k
Michele Larobina Italy 16 423 0.8× 92 0.4× 136 0.7× 64 0.4× 93 0.7× 30 861

Countries citing papers authored by Kuan‐Hao Su

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Hao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Hao Su. 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 Kuan‐Hao Su. The network helps show where Kuan‐Hao Su may publish in the future.

Co-authorship network of co-authors of Kuan‐Hao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Hao Su. A scholar is included among the top collaborators of Kuan‐Hao Su 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 Kuan‐Hao Su. Kuan‐Hao Su 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.
Yang, Zhiyin, et al.. (2025). Research progress on exosomes from different sources in osteoarthritis and cartilage injury. Journal of Orthopaedic Surgery and Research. 20(1). 582–582. 1 indexed citations
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Mehranian, Abolfazl, Scott D. Wollenweber, Matthew Walker, et al.. (2022). Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3740–3749. 32 indexed citations
4.
Mehranian, Abolfazl, Scott D. Wollenweber, Matthew Walker, et al.. (2021). Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 539–549. 41 indexed citations
5.
Qian, Pengjiang, Yizhang Jiang, Kaifa Zhao, et al.. (2018). Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes. IEEE Access. 6. 28594–28610. 51 indexed citations
6.
Su, Kuan‐Hao, David W. Jordan, Brendan Eck, et al.. (2018). Improving Bone Mineral Density Assessment Using Spectral Detector CT. Journal of Clinical Densitometry. 22(3). 374–381. 13 indexed citations
7.
Qian, Pengjiang, Kuan‐Hao Su, Atallah Baydoun, et al.. (2018). Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach. Artificial Intelligence in Medicine. 90. 34–41. 46 indexed citations
8.
Su, Kuan‐Hao, David W. Jordan, Paul Klahr, et al.. (2018). Machine learning-based dual-energy CT parametric mapping. Physics in Medicine and Biology. 63(12). 125001–125001. 25 indexed citations
9.
Qian, Pengjiang, Xi Chen, Yizhang Jiang, et al.. (2017). SSC-EKE: Semi-supervised classification with extensive knowledge exploitation. Information Sciences. 422. 51–76. 43 indexed citations
10.
Qian, Pengjiang, Kaifa Zhao, Yizhang Jiang, et al.. (2017). Knowledge-leveraged transfer fuzzy C -Means for texture image segmentation with self-adaptive cluster prototype matching. Knowledge-Based Systems. 130. 33–50. 70 indexed citations
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Nguyen, Nghi, J.L. Vercher-Conejero, Abdus Sattar, et al.. (2015). Image Quality and Diagnostic Performance of a Digital PET Prototype in Patients with Oncologic Diseases: Initial Experience and Comparison with Analog PET. Journal of Nuclear Medicine. 56(9). 1378–1385. 102 indexed citations
14.
Hu, Lingzhi, Kuan‐Hao Su, Gisèle Pereira, et al.. (2014). k‐space sampling optimization for ultrashort TE imaging of cortical bone: Applications in radiation therapy planning and MR‐based PET attenuation correction. Medical Physics. 41(10). 102301–102301. 9 indexed citations
15.
Kolthammer, Jeffrey, et al.. (2014). Performance evaluation of the Ingenuity TF PET/CT scanner with a focus on high count-rate conditions. Physics in Medicine and Biology. 59(14). 3843–3859. 83 indexed citations
16.
Su, Kuan‐Hao, Tzu‐Chen Yen, & Yu-Hua Fang. (2013). A novel approach for direct reconstruction of parametric images for myocardial blood flow from PET imaging. Medical Physics. 40(10). 102505–102505. 16 indexed citations
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Su, Kuan‐Hao, et al.. (2009). Partial volume correction of the microPET blood input function using ensemble learning independent component analysis. Physics in Medicine and Biology. 54(6). 1823–1846. 12 indexed citations
19.
Su, Kuan‐Hao, et al.. (2008). A novel blood-cell-two-compartment model for transferring a whole blood time activity curve to plasma in rodents. Computer Methods and Programs in Biomedicine. 92(3). 299–304. 3 indexed citations
20.
Su, Kuan‐Hao, et al.. (2005). Quantification method in [18F]fluorodeoxyglucose brain positron emission tomography using independent component analysis. Nuclear Medicine Communications. 26(11). 995–1004. 30 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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