Chulkyun Ahn

960 total citations
29 papers, 661 citations indexed

About

Chulkyun Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chulkyun Ahn has authored 29 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chulkyun Ahn's work include Advanced X-ray and CT Imaging (21 papers), Radiation Dose and Imaging (19 papers) and Medical Imaging Techniques and Applications (16 papers). Chulkyun Ahn is often cited by papers focused on Advanced X-ray and CT Imaging (21 papers), Radiation Dose and Imaging (19 papers) and Medical Imaging Techniques and Applications (16 papers). Chulkyun Ahn collaborates with scholars based in South Korea, Ethiopia and United States. Chulkyun Ahn's co-authors include Jong Hyo Kim, Alan L. Buchman, Donald J. Jenden, Margaret Roch, William J. Farley, M. A. Awal, Henry J. Pownall, Marvin E. Ament, Jung Hee Hong and Ju Gang Nam and has published in prestigious journals such as PLoS ONE, European Radiology and Nutrition.

In The Last Decade

Chulkyun Ahn

29 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chulkyun Ahn South Korea	14	355	306	134	110	73	29	661
Tatsuji Kono Japan	17	281 0.8×	133 0.4×	29 0.2×	87 0.8×	542 7.4×	33	1.5k
Dong‐Gu Shin South Korea	17	175 0.5×	57 0.2×	29 0.2×	131 1.2×	298 4.1×	84	950
Helene von Bibra Germany	20	324 0.9×	100 0.3×	18 0.1×	52 0.5×	131 1.8×	57	1.0k
Per Mølstad Norway	15	183 0.5×	69 0.2×	17 0.1×	121 1.1×	220 3.0×	43	965
M. Ammer Austria	7	91 0.3×	101 0.3×	24 0.2×	158 1.4×	157 2.2×	13	836
Adrian Chenzbraun Israel	18	308 0.9×	103 0.3×	57 0.4×	254 2.3×	497 6.8×	39	1.1k
M Rammer Austria	11	142 0.4×	141 0.5×	36 0.3×	182 1.7×	252 3.5×	20	1.2k
O. Nyquist Sweden	16	51 0.1×	57 0.2×	20 0.1×	102 0.9×	165 2.3×	53	750
Kiwamu Kamiya Japan	13	71 0.2×	47 0.2×	18 0.1×	91 0.8×	88 1.2×	61	433

Countries citing papers authored by Chulkyun Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Chulkyun Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chulkyun Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Chulkyun Ahn. A scholar is included among the top collaborators of Chulkyun 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 Chulkyun Ahn. Chulkyun Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Park, Eun‐Ah, et al.. (2025). Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT. European Radiology. 35(11). 7084–7095. 2 indexed citations

Kim, Dong, Chulkyun Ahn, & Jong Hyo Kim. (2025). Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule Characterization. Tomography. 11(2). 13–13. 1 indexed citations

Lee, Ji Won, et al.. (2024). Application of a Deep Learning–Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load. Journal of Computer Assisted Tomography. 49(2). 288–296. 1 indexed citations

Ahn, Chulkyun & Jong Hyo Kim. (2023). AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography. Diagnostics. 14(1). 96–96. 3 indexed citations

Lee, Taehee, Jeong Hee Yoon, Jin Young Park, et al.. (2023). Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis. Abdominal Radiology. 48(11). 3430–3440. 7 indexed citations

Kang, Hyo‐Jin, Jeong Min Lee, Chulkyun Ahn, et al.. (2023). Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study. European Radiology. 33(5). 3660–3670. 13 indexed citations

Ahn, Chulkyun, Jung Hee Hong, Dasom Kim, et al.. (2023). 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT. BMC Medical Imaging. 23(1). 121–121. 9 indexed citations

Lee, Taehee, Jeong Min Lee, Jeong Hee Yoon, et al.. (2022). Deep learning–based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis. European Radiology. 32(9). 6407–6417. 23 indexed citations

Choi, Jin Hwa, et al.. (2022). Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study. PLoS ONE. 17(7). e0271724–e0271724. 9 indexed citations

10.

Joo, Ijin, Jeong Hee Yoon, Hyo Jin Kang, et al.. (2022). Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard reconstruction technique. European Journal of Radiology. 154. 110390–110390. 13 indexed citations

11.

Nam, Ju Gang, Chulkyun Ahn, Hyewon Choi, et al.. (2021). Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques. European Radiology. 31(7). 5139–5147. 46 indexed citations

12.

Nam, Ju Gang, Chulkyun Ahn, Hyewon Choi, et al.. (2021). Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques. European Radiology. 31(8). 6410–6410. 31 indexed citations

13.

Chang, Won, Jong Hyo Kim, Chulkyun Ahn, et al.. (2021). Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: a phantom study. European Radiology. 32(2). 1247–1255. 20 indexed citations

14.

Park, Sungeun, Jeong Hee Yoon, Ijin Joo, et al.. (2021). Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions. European Radiology. 32(5). 2865–2874. 36 indexed citations

15.

Lee, Seunghyun, Young Hun Choi, Yeon Jin Cho, et al.. (2020). Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique. European Radiology. 31(4). 2218–2226. 36 indexed citations

16.

Buchman, Alan L., Marvin E. Ament, Donald J. Jenden, & Chulkyun Ahn. (2006). Choline Deficiency Is Associated With Increased Risk for Venous Catheter Thrombosis. Journal of Parenteral and Enteral Nutrition. 30(4). 317–320. 8 indexed citations

17.

Buchman, Alan L., Marvin E. Ament, Donald J. Jenden, et al.. (2001). Choline Deficiency Causes Reversible Hepatic Abnormalities in Patients Receiving Parenteral Nutrition: Proof of a Human Choline Requirement: A Placebo‐Controlled Trial. Journal of Parenteral and Enteral Nutrition. 25(5). 260–268. 167 indexed citations

18.

Buchman, Alan L., et al.. (2001). Organ heavy-metal accumulation during parenteral nutrition is associated with pathologic abnormalities in rats. Nutrition. 17(7-8). 600–606. 25 indexed citations

19.

Buchman, Alan L., et al.. (2001). Verbal and Visual Memory Improve After Choline Supplementation in Long‐Term Total Parenteral Nutrition: A Pilot Study. Journal of Parenteral and Enteral Nutrition. 25(1). 30–35. 30 indexed citations

20.

Misra, Sudipta, Chulkyun Ahn, Marvin E. Ament, et al.. (1999). Plasma Choline Concentrations in Children Requiring Long‐Term Home Parenteral Nutrition: A Case Control Study. Journal of Parenteral and Enteral Nutrition. 23(5). 305–308. 20 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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