Sunghwan Moon

964 total citations
49 papers, 281 citations indexed

About

Sunghwan Moon is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mathematical Physics. According to data from OpenAlex, Sunghwan Moon has authored 49 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 24 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Mathematical Physics. Recurrent topics in Sunghwan Moon's work include Photoacoustic and Ultrasonic Imaging (18 papers), Medical Imaging Techniques and Applications (17 papers) and Numerical methods in inverse problems (13 papers). Sunghwan Moon is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (18 papers), Medical Imaging Techniques and Applications (17 papers) and Numerical methods in inverse problems (13 papers). Sunghwan Moon collaborates with scholars based in South Korea, United States and United Kingdom. Sunghwan Moon's co-authors include Chang‐Yeol Jung, Markus Haltmeier, Jin Hong, Gaik Ambartsoumian, Thomas Berer, Peter Burgholzer, Yulia Hristova, Chia‐Chi Chu, J.R. Cresswell and B. Quintana and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and Journal of Mathematical Analysis and Applications.

In The Last Decade

Sunghwan Moon

40 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunghwan Moon South Korea 10 159 139 72 57 42 49 281
Luc Meyer France 6 196 1.2× 116 0.8× 47 0.7× 31 0.5× 5 0.1× 20 404
Oğuz Semerci United States 5 78 0.5× 138 1.0× 130 1.8× 27 0.5× 22 0.5× 6 385
Zhuo‐Xu Cui China 10 219 1.4× 68 0.5× 87 1.2× 9 0.2× 6 0.1× 37 326
John Paul Ward Switzerland 8 75 0.5× 69 0.5× 117 1.6× 16 0.3× 9 0.2× 27 261
Edward T. Reehorst United States 3 116 0.7× 76 0.5× 116 1.6× 25 0.4× 6 0.1× 4 270
Alex Sawatzky Germany 8 183 1.2× 142 1.0× 76 1.1× 28 0.5× 12 0.3× 10 279
Kirk E. Lancaster United States 10 52 0.3× 56 0.4× 20 0.3× 60 1.1× 12 0.3× 41 345
Emanuel Levitan Israel 4 273 1.7× 136 1.0× 69 1.0× 12 0.2× 3 0.1× 5 346
Marcela Morvidone Argentina 8 100 0.6× 72 0.5× 79 1.1× 24 0.4× 3 0.1× 22 235
Alexander A. Zamyatin United States 10 241 1.5× 198 1.4× 35 0.5× 17 0.3× 2 0.0× 55 312

Countries citing papers authored by Sunghwan Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sunghwan Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghwan Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghwan Moon. A scholar is included among the top collaborators of Sunghwan Moon 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 Sunghwan Moon. Sunghwan Moon 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.
2.
Kang, Jae‐Mo, et al.. (2025). Metaheuristics for pruning convolutional neural networks: A comparative study. Expert Systems with Applications. 268. 126326–126326.
3.
Kim, Il‐Min, et al.. (2025). Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning. CAAI Transactions on Intelligence Technology. 11(1). 1–14.
4.
Moon, Sunghwan & Markus Haltmeier. (2024). Inversion formulas for the attenuated conical Radon transform: Plane and cylinder case. Applied Mathematics and Computation. 489. 129159–129159.
5.
Moon, Sunghwan, et al.. (2024). Uniqueness and stability for a seismic-type generalized Radon transform. Integral Transforms and Special Functions. 35(4). 247–259.
6.
7.
Hwang, Gyeongha & Sunghwan Moon. (2023). Inversion formulas for quarter-spherical Radon transforms. AIMS Mathematics. 8(12). 31258–31267.
8.
Kim, Juyeon, Sunghwan Moon, & Yulia Hristova. (2021). Photoacoustic tomography with line detector: Exact inversion formula. Journal of Mathematical Analysis and Applications. 500(2). 125119–125119. 2 indexed citations
9.
Moon, Sunghwan. (2020). Orthogonal function series formulas for inversion of the spherical Radon transform. Inverse Problems. 36(3). 35007–35007. 2 indexed citations
10.
Moon, Sunghwan. (2019). Orthogonal function series formulae for inversion of the conical Radon transform with a fixed central axis. Inverse Problems. 35(12). 125007–125007. 2 indexed citations
11.
Moon, Sunghwan & Kiwoon Kwon. (2019). Inversion formula for the conical Radon transform arising in a single first semicircle second Compton camera with rotation. Japan Journal of Industrial and Applied Mathematics. 36(3). 989–1004. 2 indexed citations
12.
Moon, Sunghwan, Yulia Hristova, & Bongsuk Kwon. (2018). Single scattering tomography with curved detectors. Biomedical Physics & Engineering Express. 4(4). 45040–45040. 2 indexed citations
13.
Moon, Sunghwan. (2018). Inversion formulas and stability estimates of the wave operator on the hyperplane. Journal of Mathematical Analysis and Applications. 466(1). 490–497. 4 indexed citations
14.
Haltmeier, Markus & Sunghwan Moon. (2016). The spherical Radon transform with centers on cylindrical surfaces. Journal of Mathematical Analysis and Applications. 448(1). 567–579. 7 indexed citations
15.
Moon, Sunghwan & Joonghyeok Heo. (2015). Inversion of the elliptical Radon transform arising in migration imaging using the regular Radon transform. Journal of Mathematical Analysis and Applications. 436(1). 138–148. 4 indexed citations
16.
Moon, Sunghwan. (2015). Inversion of the seismic parabolic Radon transform and the seismic hyperbolic Radon transform. Inverse Problems in Science and Engineering. 24(2). 317–327. 6 indexed citations
17.
Moon, Sunghwan. (2014). On the determination of a function from an elliptical Radon transform. Journal of Mathematical Analysis and Applications. 416(2). 724–734. 9 indexed citations
18.
Ambartsoumian, Gaik & Sunghwan Moon. (2013). A series formula for inversion of the V-line Radon transform in a disc. Computers & Mathematics with Applications. 66(9). 1567–1572. 22 indexed citations
19.
Moon, Sunghwan, A.J. Boston, H.C. Boston, et al.. (2011). Compton imaging with AGATA and SmartPET for DESPEC. Journal of Instrumentation. 6(12). C12048–C12048. 2 indexed citations
20.
Barrientos, D., A.J. Boston, H.C. Boston, et al.. (2010). Characterisation of a Broad Energy Germanium (BEGe) detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 648. S228–S231. 10 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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