Silun Wang

1.7k total citations
39 papers, 1.4k citations indexed

About

Silun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Silun Wang has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Epidemiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Silun Wang's work include Advanced Neuroimaging Techniques and Applications (16 papers), Advanced MRI Techniques and Applications (14 papers) and MRI in cancer diagnosis (9 papers). Silun Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (16 papers), Advanced MRI Techniques and Applications (14 papers) and MRI in cancer diagnosis (9 papers). Silun Wang collaborates with scholars based in United States, China and Hong Kong. Silun Wang's co-authors include Pek‐Lan Khong, Jinyuan Zhou, Zhibo Wen, EX Wu, E. Tryggestad, Eric Ford, Tingting Zhou, Peter C.M. van Zijl, Kun Yan and John Laterra and has published in prestigious journals such as Nature Medicine, PLoS ONE and NeuroImage.

In The Last Decade

Silun Wang

38 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
Silun Wang United States 16 987 486 185 169 154 39 1.4k
Kazufumi Kikuchi Japan 22 1.2k 1.2× 486 1.0× 478 2.6× 121 0.7× 173 1.1× 88 1.7k
Sina Burth Germany 14 1.4k 1.4× 597 1.2× 579 3.1× 128 0.8× 196 1.3× 18 1.7k
Greg O. Cron Canada 26 728 0.7× 180 0.4× 168 0.9× 83 0.5× 176 1.1× 54 1.5k
Wenzhen Zhu China 27 1.4k 1.4× 200 0.4× 306 1.7× 54 0.3× 210 1.4× 80 2.1k
Phillip H. Kuo United States 19 627 0.6× 239 0.5× 58 0.3× 80 0.5× 251 1.6× 151 1.5k
Helmar Waiczies Germany 20 623 0.6× 142 0.3× 97 0.5× 114 0.7× 42 0.3× 48 1.4k
Peter C. van Zijl United States 14 1.0k 1.0× 107 0.2× 117 0.6× 78 0.5× 86 0.6× 23 1.4k
Oliver Eidel Germany 9 1.0k 1.1× 349 0.7× 482 2.6× 25 0.1× 157 1.0× 10 1.3k
Josef Vymazal Czechia 25 775 0.8× 182 0.4× 563 3.0× 130 0.8× 345 2.2× 66 2.5k

Countries citing papers authored by Silun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Silun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Silun Wang. A scholar is included among the top collaborators of Silun Wang 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 Silun Wang. Silun Wang 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
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Jiang, Wenhao, et al.. (2020). Deep-Learning-Based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images. Interdisciplinary Sciences Computational Life Sciences. 12(4). 438–446. 11 indexed citations
4.
Kinder, Holly A., Silun Wang, Candace C. Fleischer, et al.. (2019). Traumatic Brain Injury Results in Dynamic Brain Structure Changes Leading to Acute and Chronic Motor Function Deficits in a Pediatric Piglet Model. Journal of Neurotrauma. 36(20). 2930–2942. 24 indexed citations
5.
Ji, Bing, Silun Wang, Zhou Liu, et al.. (2019). Revealing hemodynamic heterogeneity of gliomas based on signal profile features of dynamic susceptibility contrast-enhanced MRI. NeuroImage Clinical. 23. 101864–101864. 7 indexed citations
6.
Zhang, Yu‐Zhong, Zhou Liu, Bing Ji, et al.. (2019). Metabolite Profile of Alzheimer’s Disease in the Frontal Cortex as Analyzed by HRMAS 1H NMR. Frontiers in Aging Neuroscience. 10. 424–424. 14 indexed citations
7.
Zhang, Xiaodong, Yumei Yan, Frank Tong, et al.. (2018). Progressive Assessment of Ischemic Injury to White Matter Using Diffusion Tensor Imaging: A Preliminary Study of a Macaque Model of Stroke. PubMed. 12(1). 30–41. 14 indexed citations
8.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2015). Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9415. 94152M–94152M. 3 indexed citations
9.
Zhang, Xiaodong, Frank Tong, Chunxia Li, et al.. (2015). Temporal Evolution of Ischemic Lesions in Nonhuman Primates: A Diffusion and Perfusion MRI Study. PLoS ONE. 10(2). e0117290–e0117290. 35 indexed citations
10.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2015). Simulating cardiac ultrasound image based on MR diffusion tensor imaging. Medical Physics. 42(9). 5144–5156. 6 indexed citations
11.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2014). Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9036. 90361O–90361O. 13 indexed citations
12.
Wang, Silun, Deqiang Qiu, Kwok‐Fai So, et al.. (2013). Radiation induced brain injury: assessment of white matter tracts in a pre-clinical animal model using diffusion tensor MR imaging. Journal of Neuro-Oncology. 112(1). 9–15. 15 indexed citations
13.
Wang, Silun, E. Tryggestad, Tingting Zhou, et al.. (2012). Assessment of MRI Parameters as Imaging Biomarkers for Radiation Necrosis in the Rat Brain. International Journal of Radiation Oncology*Biology*Physics. 83(3). e431–e436. 41 indexed citations
14.
Wang, Silun & Jinyuan Zhou. (2012). Diffusion Tensor Magnetic Resonance Imaging of Rat Glioma Models. Journal of Computer Assisted Tomography. 36(6). 739–744. 22 indexed citations
15.
Yiu, Kai‐Hang, Silun Wang, Mo-Yin Mok, et al.. (2011). Relationship Between Cardiac Valvular and Arterial Calcification in Patients with Rheumatoid Arthritis and Systemic Lupus Erythematosus. The Journal of Rheumatology. 38(4). 621–627. 33 indexed citations
16.
Khong, Pek‐Lan, et al.. (2010). Quantitative Assessment of Diffusion-Weighted MR Imaging in Patients with Primary Rectal Cancer: Correlation with FDG-PET/CT. Molecular Imaging and Biology. 13(5). 1020–1028. 74 indexed citations
17.
Wen, Zhibo, Shuguang Hu, Fanheng Huang, et al.. (2010). MR imaging of high-grade brain tumors using endogenous protein and peptide-based contrast. NeuroImage. 51(2). 616–622. 183 indexed citations
18.
Yiu, Kai‐Hang, Silun Wang, Mo-Yin Mok, et al.. (2009). Pattern of Arterial Calcification in Patients with Systemic Lupus Erythematosus. The Journal of Rheumatology. 36(10). 2212–2217. 45 indexed citations
19.
Chan, Kevin C., et al.. (2009). MRI of late microstructural and metabolic alterations in radiation‐induced brain injuries. Journal of Magnetic Resonance Imaging. 29(5). 1013–1020. 67 indexed citations
20.
Du, Xiangke, et al.. (2003). [The investigation of clinical images of 88 hospital staff with SARS].. PubMed. 35 Suppl. 34–7. 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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