Yannan Jin

1.1k total citations
29 papers, 770 citations indexed

About

Yannan Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biochemistry. According to data from OpenAlex, Yannan Jin has authored 29 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 6 papers in Biochemistry. Recurrent topics in Yannan Jin's work include Advanced X-ray and CT Imaging (19 papers), Radiation Dose and Imaging (17 papers) and Medical Imaging Techniques and Applications (15 papers). Yannan Jin is often cited by papers focused on Advanced X-ray and CT Imaging (19 papers), Radiation Dose and Imaging (17 papers) and Medical Imaging Techniques and Applications (15 papers). Yannan Jin collaborates with scholars based in United States, United Kingdom and China. Yannan Jin's co-authors include Ge Wang, Bruno De Man, Lars Gjesteby, Harald Paganetti, D Giantsoudi, Joost Verburg, Michael H. Gordon, T. W. George, Randolph Arroo and Yan Xi and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Nutrition and IEEE Access.

In The Last Decade

Yannan Jin

29 papers receiving 757 citations

Peers

Yannan Jin
Yeon Jin Cho South Korea
Soo-Jung Choi South Korea
Mi Sun Chung South Korea
Jiao Li China
Eric Potter United States
Kevin Mitchell United States
Yong Sun Choi South Korea
Hae-Jin Park South Korea
Jan Hansmann Germany
Yeon Jin Cho South Korea
Yannan Jin
Citations per year, relative to Yannan Jin Yannan Jin (= 1×) peers Yeon Jin Cho

Countries citing papers authored by Yannan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yannan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yannan Jin. A scholar is included among the top collaborators of Yannan Jin 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 Yannan Jin. Yannan Jin 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.
Jin, Yannan & Randolph Arroo. (2023). The protective effects of flavonoids and carotenoids against diabetic complications—A review of in vivo evidence. Frontiers in Nutrition. 10. 1020950–1020950. 32 indexed citations
2.
Frumence, Gasto, et al.. (2023). A Qualitative Exploration on Perceived Socio-Cultural Factors Contributing to Undernutrition Among Under-Fives in the Southern Highlands of Tanzania. International Journal of Public Health. 68. 1605294–1605294. 8 indexed citations
3.
Jin, Yannan & Randolph Arroo. (2020). Application of dietary supplements in the prevention of type 2 diabetes-related cardiovascular complications. Phytochemistry Reviews. 20(1). 181–209. 8 indexed citations
4.
Gjesteby, Lars, Hongming Shan, Qingsong Yang, et al.. (2019). A dual-stream deep convolutional network for reducing metal streak artifacts in CT images. Physics in Medicine and Biology. 64(23). 235003–235003. 50 indexed citations
5.
Jin, Yannan, D Giantsoudi, Lin Fu, et al.. (2018). Metal artifact reduction for radiation therapy: a simulation study. 25–25. 3 indexed citations
6.
Giantsoudi, D, Bruno De Man, Joost Verburg, et al.. (2017). Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction. Physics in Medicine and Biology. 62(8). R49–R80. 119 indexed citations
7.
Fitzgerald, Paul B., Peter M. Edic, Hewei Gao, et al.. (2017). Quest for the ultimate cardiac CT scanner. Medical Physics. 44(9). 4506–4524. 11 indexed citations
8.
Gjesteby, Lars, Qingsong Yang, Yan Xi, et al.. (2017). Deep learning methods for CT image-domain metal artifact reduction. 31–31. 56 indexed citations
9.
Xi, Yan, Yannan Jin, Bruno De Man, & Ge Wang. (2016). High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography. IEEE Access. 4. 4769–4776. 16 indexed citations
10.
Xue, Rui, Yannan Jin, Paul F. FitzGerald, et al.. (2016). Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correction. Physics in Medicine and Biology. 61(21). 7787–7811. 3 indexed citations
11.
Fitzgerald, Paul B., James R. Bennett, J. Jeffrey Carr, et al.. (2016). Cardiac CT: A system architecture study. Journal of X-Ray Science and Technology. 24(1). 43–65. 12 indexed citations
12.
Jin, Yannan, Lars Gjesteby, Joost Verburg, et al.. (2016). MO-FG-CAMPUS-IeP2-05: Feasibility Demonstration of High-Voltage Clinical CT and Impact On X-Ray Penetration Through Metal Objects. Medical Physics. 43(6Part32). 3720–3721. 3 indexed citations
13.
Jin, Yannan, et al.. (2015). Patient specific tube current modulation for CT dose reduction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 94122Z–94122Z. 4 indexed citations
14.
Macready, Anna L., T. W. George, Mary Foong‐Fong Chong, et al.. (2014). Flavonoid-rich fruit and vegetables improve microvascular reactivity and inflammatory status in men at risk of cardiovascular disease—FLAVURS: a randomized controlled trial. American Journal of Clinical Nutrition. 99(3). 479–489. 125 indexed citations
15.
16.
Wang, Jiao, Paul B. Fitzgerald, Hewei Gao, et al.. (2014). Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 90335Q–90335Q. 2 indexed citations
17.
Chong, Mary Foong‐Fong, T. W. George, Yannan Jin, et al.. (2012). Impact of the quantity and flavonoid content of fruits and vegetables on markers of intake in adults with an increased risk of cardiovascular disease: the FLAVURS trial. European Journal of Nutrition. 52(1). 361–378. 29 indexed citations
19.
Zhao, Jun, Yannan Jin, Yang Lu, & Ge Wang. (2008). A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT. IEEE Transactions on Medical Imaging. 28(3). 384–393. 25 indexed citations
20.
Zhao, Jun, Yang Lu, Yannan Jin, Er‐Wei Bai, & Ge Wang. (2007). Feldkamp-type reconstruction algorithms for spiral cone-beam CT with variable pitch. Journal of X-Ray Science and Technology. 15(4). 177–196. 7 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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