Sangtae Ahn

1.9k total citations
79 papers, 1.4k citations indexed

About

Sangtae Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Sangtae Ahn has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Biomedical Engineering and 18 papers in Radiation. Recurrent topics in Sangtae Ahn's work include Medical Imaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (35 papers) and Advanced X-ray and CT Imaging (21 papers). Sangtae Ahn is often cited by papers focused on Medical Imaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (35 papers) and Advanced X-ray and CT Imaging (21 papers). Sangtae Ahn collaborates with scholars based in United States, United Kingdom and India. Sangtae Ahn's co-authors include Richard M. Leahy, Joyita Dutta, Quanzheng Li, Simon R. Cherry, Evren Asma, Ravindra M. Manjeshwar, Florian Wiesinger, Dattesh Shanbhag, Changqing Li and Sandeep Kaushik and has published in prestigious journals such as Nature Genetics, Bioinformatics and Genome Research.

In The Last Decade

Sangtae Ahn

78 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangtae Ahn United States 21 1.1k 604 219 117 92 79 1.4k
Hervé Saint‐Jalmes France 23 1.3k 1.1× 769 1.3× 127 0.6× 46 0.4× 223 2.4× 113 2.0k
Roel Van Holen Belgium 25 1.3k 1.2× 430 0.7× 684 3.1× 47 0.4× 201 2.2× 116 1.7k
Chenghu Qin China 22 970 0.9× 980 1.6× 62 0.3× 113 1.0× 36 0.4× 53 1.2k
Masahiro Akïba Japan 29 2.4k 2.1× 1.0k 1.7× 60 0.3× 122 1.0× 56 0.6× 88 3.5k
Giannis Zacharakis Greece 20 537 0.5× 777 1.3× 49 0.2× 95 0.8× 200 2.2× 104 1.4k
Jovan G. Brankov United States 20 920 0.8× 745 1.2× 520 2.4× 50 0.4× 42 0.5× 131 1.6k
Shouping Zhu China 22 911 0.8× 953 1.6× 105 0.5× 96 0.8× 50 0.5× 94 1.3k
Donald W. Wilson United States 20 1.3k 1.1× 630 1.0× 444 2.0× 57 0.5× 39 0.4× 48 1.5k
P. Hendrik Pretorius United States 27 2.7k 2.4× 1.2k 1.9× 611 2.8× 67 0.6× 125 1.4× 182 3.0k
Jing Tang United States 18 783 0.7× 257 0.4× 196 0.9× 123 1.1× 36 0.4× 69 1.4k

Countries citing papers authored by Sangtae Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sangtae Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangtae Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sangtae Ahn. A scholar is included among the top collaborators of Sangtae Ahn 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 Sangtae Ahn. Sangtae Ahn 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.
Byrd, David W., Craig K. Abbey, Jhimli Mitra, et al.. (2023). Deep Learning Model Observers Trained with Human Observer Data from Two-Alternative Forced Choice (2AFC) Trials. 1–1. 2 indexed citations
2.
Arridge, Simon, Bangti Jin, Sangtae Ahn, et al.. (2022). An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. IEEE Transactions on Medical Imaging. 42(1). 29–41. 6 indexed citations
3.
Schmidtlein, C. Ross, et al.. (2022). A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction. IEEE Transactions on Medical Imaging. 41(11). 3289–3300. 1 indexed citations
4.
Sitek, Arkadiusz, Sangtae Ahn, Evren Asma, et al.. (2021). Artificial Intelligence in PET. PET Clinics. 16(4). 483–492. 4 indexed citations
5.
Leynes, Andrew P., Sangtae Ahn, Sandeep Kaushik, et al.. (2020). Bayesian deep learning Uncertainty estimation and pseudo-CT prior for robust Maximum Likelihood estimation of Activity and Attenuation (UpCT-MLAA) in the presence of metal implants for simultaneous PET/MRI in the pelvis. arXiv (Cornell University). 1 indexed citations
6.
Tsai, Yu‐Jung, Georg Schramm, Sangtae Ahn, et al.. (2019). Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction. IEEE Transactions on Medical Imaging. 39(1). 11–22. 8 indexed citations
7.
Tsai, Yu‐Jung, Alexandre Bousse, Matthias J. Ehrhardt, et al.. (2017). Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Transactions on Medical Imaging. 37(4). 1000–1010. 17 indexed citations
8.
Wiesinger, Florian, Laura Sacolick, Anne Menini, et al.. (2015). Zero TEMR bone imaging in the head. Magnetic Resonance in Medicine. 75(1). 3 indexed citations
9.
Ahn, Sangtae, Steven G. Ross, Evren Asma, et al.. (2015). Quantitative comparison of OSEM and penalized likelihood image reconstruction using relative difference penalties for clinical PET. Physics in Medicine and Biology. 60(15). 5733–5751. 96 indexed citations
10.
Ahn, Sangtae, Dattesh Shanbhag, Hua Qian, et al.. (2013). Improved attenuation correction in PET/MRI by combining MR image segmentation and joint estimation approaches. Prenatal Diagnosis. 54(6). 150–150. 5 indexed citations
11.
Dutta, Joyita, Sangtae Ahn, & Quanzheng Li. (2013). Quantitative Statistical Methods for Image Quality Assessment. Theranostics. 3(10). 741–756. 38 indexed citations
12.
Dutta, Joyita, Sangtae Ahn, Anand A. Joshi, & Richard M. Leahy. (2010). Illumination pattern optimization for fluorescence tomography: theory and simulation studies. Physics in Medicine and Biology. 55(10). 2961–2982. 39 indexed citations
13.
Li, Changqing, Gregory S. Mitchell, Joyita Dutta, et al.. (2009). A three-dimensional multispectral fluorescence optical tomography imaging system for small animals based on a conical mirror design. Optics Express. 17(9). 7571–7571. 73 indexed citations
14.
Ahn, Sangtae, et al.. (2009). Exact and approximate Fourier rebinning of PET data from time-of-flight to non time-of-flight. Physics in Medicine and Biology. 54(3). 467–484. 21 indexed citations
15.
Ahn, Sangtae, Richard T. Wang, Christopher C Park, et al.. (2009). Directed Mammalian Gene Regulatory Networks Using Expression and Comparative Genomic Hybridization Microarray Data from Radiation Hybrids. PLoS Computational Biology. 5(6). e1000407–e1000407. 13 indexed citations
16.
Ahn, Sangtae & Richard M. Leahy. (2008). Analysis of Resolution and Noise Properties of Nonquadratically Regularized Image Reconstruction Methods for PET. IEEE Transactions on Medical Imaging. 27(3). 413–424. 51 indexed citations
17.
Li, Quanzheng, Evren Asma, Sangtae Ahn, & Richard M. Leahy. (2007). A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data. IEEE Transactions on Medical Imaging. 26(1). 58–67. 36 indexed citations
18.
Ahn, Sangtae, Jeffrey A. Fessler, Doron Blatt, & Alfred O. Hero. (2006). Convergent incremental optimization transfer algorithms: application to tomography. IEEE Transactions on Medical Imaging. 25(3). 283–296. 50 indexed citations
19.
Fessler, Jeffrey A. & Sangtae Ahn. (2004). Convergent algorithms for statistical image reconstruction in emission tomography.. Deep Blue (University of Michigan). 6 indexed citations
20.
Ahn, Sangtae & Jeffrey A. Fessler. (2001). Globally Convergent Ordered Subsets Algorithms: Application to Tomography. 4 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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