Fumin Guo

1.4k total citations
67 papers, 953 citations indexed

About

Fumin Guo is a scholar working on Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fumin Guo has authored 67 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 27 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fumin Guo's work include Atomic and Subatomic Physics Research (34 papers), Advanced MRI Techniques and Applications (16 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers). Fumin Guo is often cited by papers focused on Atomic and Subatomic Physics Research (34 papers), Advanced MRI Techniques and Applications (16 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers). Fumin Guo collaborates with scholars based in Canada, China and United States. Fumin Guo's co-authors include Grace Párraga, David G. McCormack, Sarah Svenningsen, Dante P. I. Capaldi, Aaron Fenster, Khadija Sheikh, Rachel L. Eddy, Miranda Kirby, Damien Pike and Matthew Ng and has published in prestigious journals such as Radiology, Journal of Applied Physiology and Magnetic Resonance in Medicine.

In The Last Decade

Fumin Guo

63 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumin Guo Canada 19 409 400 390 127 119 67 953
Juerg Tschirren United States 16 179 0.4× 934 2.3× 264 0.7× 185 1.5× 17 0.1× 32 1.3k
Rob H. Ireland United Kingdom 20 320 0.8× 216 0.5× 344 0.9× 35 0.3× 147 1.2× 37 1.2k
Osama I. Saba United States 10 167 0.4× 405 1.0× 491 1.3× 48 0.4× 11 0.1× 17 866
Jonathan I. Sperl Germany 16 69 0.2× 207 0.5× 834 2.1× 16 0.1× 82 0.7× 46 1.2k
Deokiee Chon United States 8 237 0.6× 253 0.6× 232 0.6× 27 0.2× 23 0.2× 9 498
Redha Boubertakh United Kingdom 17 91 0.2× 175 0.4× 807 2.1× 66 0.5× 10 0.1× 57 1.4k
Hidenori Shikata United States 6 136 0.3× 220 0.6× 185 0.5× 25 0.2× 9 0.1× 9 424
L Dougherty United States 11 109 0.3× 219 0.5× 1.4k 3.7× 30 0.2× 39 0.3× 13 1.9k
Freddy Odille France 20 180 0.4× 139 0.3× 873 2.2× 32 0.3× 6 0.1× 93 1.5k
Per Thunberg Sweden 16 38 0.1× 163 0.4× 467 1.2× 35 0.3× 14 0.1× 48 806

Countries citing papers authored by Fumin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fumin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fumin Guo. A scholar is included among the top collaborators of Fumin Guo 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 Fumin Guo. Fumin Guo 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.
Li, Haidong, Yuan Fang, Ming Zhang, et al.. (2025). Hyperpolarized 129 Xe diffusion‐weighted MRI of the lung with 3D golden‐angle radial sampling and keyhole reconstruction. Medical Physics. 52(6). 4068–4078. 2 indexed citations
2.
Wang, Cheng, Fumin Guo, Huijie Liu, & Gang Wang. (2025). A Comprehensive Review of Research Works on Cooling Methods for Solar Photovoltaic Panels. Energies. 18(16). 4305–4305. 1 indexed citations
3.
Guo, Fumin, et al.. (2024). Ultra-broadband vanadium dioxide absorber with dynamic modulation in the terahertz band. Optics Communications. 560. 130482–130482. 7 indexed citations
4.
Zhang, Ming, Haidong Li, Yi Xiao, et al.. (2024). Assessment of Global and Regional Lung Compliance in Pulmonary Fibrosis With Hyperpolarized Gas MRI. Journal of Magnetic Resonance Imaging. 61(3). 1404–1415. 1 indexed citations
5.
Liu, Xiaoling, et al.. (2024). Measurement of pulmonary hematocrit using oscillation of hyperpolarized 129Xe MR signals in blood. Magnetic Resonance in Medicine. 93(5). 1886–1895. 3 indexed citations
7.
Fang, Yuan, et al.. (2024). Rapid pulmonary 129Xe ventilation MRI of discharged COVID‐19 patients with zigzag sampling. Magnetic Resonance in Medicine. 92(3). 956–966. 8 indexed citations
8.
Deng, Xin-Hua, et al.. (2023). Broadband actively tunable metamaterial absorber based on vanadium dioxide and Fabry-Perot cavity. Optical Materials. 138. 113716–113716. 10 indexed citations
9.
Guo, Fumin, et al.. (2022). Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors. Medical Image Analysis. 81. 102532–102532. 25 indexed citations
10.
Ramanan, Venkat, Matthew Ng, Fumin Guo, et al.. (2022). A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation. Radiology Artificial Intelligence. 4(6). e210294–e210294. 7 indexed citations
11.
Gyacskov, Igor, Fumin Guo, Cesare Romagnoli, et al.. (2022). Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound. Physics in Medicine and Biology. 67(7). 74002–74002. 26 indexed citations
12.
Guo, Fumin, Dante P. I. Capaldi, David G. McCormack, Aaron Fenster, & Grace Párraga. (2021). Ultra-short echo-time magnetic resonance imaging lung segmentation with under-Annotations and domain shift. Medical Image Analysis. 72. 102107–102107. 5 indexed citations
13.
Capaldi, Dante P. I., Rachel L. Eddy, Sarah Svenningsen, et al.. (2018). Free-breathing Pulmonary MR Imaging to Quantify Regional Ventilation. Radiology. 287(2). 693–704. 31 indexed citations
14.
Capaldi, Dante P. I., Nanxi Zha, Fumin Guo, et al.. (2016). Pulmonary Imaging Biomarkers of Gas Trapping and Emphysema in COPD:3He MR Imaging and CT Parametric Response Maps. Radiology. 279(2). 597–608. 44 indexed citations
15.
Sheikh, Khadija, Fumin Guo, Dante P. I. Capaldi, et al.. (2016). Ultrashort echo time MRI biomarkers of asthma. Journal of Magnetic Resonance Imaging. 45(4). 1204–1215. 23 indexed citations
16.
Svenningsen, Sarah, Parameswaran Nair, Fumin Guo, David G. McCormack, & Grace Párraga. (2016). Is ventilation heterogeneity related to asthma control?. European Respiratory Journal. 48(2). 370–379. 62 indexed citations
17.
Guo, Fumin, Sarah Svenningsen, Rachel L. Eddy, et al.. (2016). Anatomical pulmonary magnetic resonance imaging segmentation for regional structure‐function measurements of asthma. Medical Physics. 43(6Part1). 2911–2926. 16 indexed citations
18.
Pike, Damien, Miranda Kirby, Fumin Guo, David G. McCormack, & Grace Párraga. (2015). Ventilation Heterogeneity in Ex-smokers without Airflow Limitation. Academic Radiology. 22(8). 1068–1078. 22 indexed citations
19.
Svenningsen, Sarah, Fumin Guo, Miranda Kirby, et al.. (2014). Pulmonary Functional Magnetic Resonance Imaging. Academic Radiology. 21(11). 1402–1410. 19 indexed citations
20.
Guo, Fumin. (2013). Numerical simulation of the indirect air cooling tower layout optimization. Chinese Journal of Hydrodynamics. 1 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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