Yingbiao Xu

2.4k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

Yingbiao Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pathology and Forensic Medicine. According to data from OpenAlex, Yingbiao Xu has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Radiation and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Yingbiao Xu's work include Advanced MRI Techniques and Applications (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Yingbiao Xu is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Yingbiao Xu collaborates with scholars based in United States, Germany and Canada. Yingbiao Xu's co-authors include E. Mark Haacke, Jürgen R. Reichenbach, Yu‐Chung N. Cheng, Vivek Sehgal, D. Haddar, Jaladhar Neelavalli, Zachary DelProposto, Karen A. Tong, Daniel K. Kido and Nathaniel Wycliffe and has published in prestigious journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging and Magnetic Resonance Imaging.

In The Last Decade

Yingbiao Xu

8 papers receiving 1.8k citations

Hit Papers

Susceptibility weighted imaging (SWI) 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingbiao Xu United States 6 1.2k 534 319 176 141 8 1.9k
John E. Kirsch United States 24 1.1k 0.9× 323 0.6× 131 0.4× 175 1.0× 78 0.6× 66 1.6k
Ronnie Wirestam Sweden 30 2.0k 1.6× 328 0.6× 137 0.4× 94 0.5× 153 1.1× 99 2.6k
D K Kido United States 21 885 0.7× 765 1.4× 394 1.2× 77 0.4× 144 1.0× 43 2.1k
Fredy Visser Netherlands 24 962 0.8× 442 0.8× 257 0.8× 125 0.7× 87 0.6× 49 1.7k
Saifeng Liu United States 18 880 0.7× 361 0.7× 186 0.6× 75 0.4× 72 0.5× 29 1.3k
Hsiao‐Wen Chung Taiwan 32 1.7k 1.4× 189 0.4× 182 0.6× 144 0.8× 222 1.6× 133 2.8k
Mathias Hoehn‐Berlage Germany 29 1.8k 1.5× 451 0.8× 485 1.5× 94 0.5× 115 0.8× 61 2.7k
H. Friedburg Germany 14 1.6k 1.3× 256 0.5× 163 0.5× 361 2.1× 132 0.9× 50 2.8k
Wolfgang R. Nitz Germany 24 1.3k 1.1× 276 0.5× 206 0.6× 177 1.0× 169 1.2× 68 2.1k
Chen Lin United States 25 1.1k 0.8× 220 0.4× 377 1.2× 67 0.4× 94 0.7× 71 1.8k

Countries citing papers authored by Yingbiao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yingbiao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingbiao Xu

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

All Works

8 of 8 papers shown
1.
Xu, Yingbiao & E. Mark Haacke. (2008). An iterative reconstruction technique for geometric distortion-corrected segmented echo-planar imaging. Magnetic Resonance Imaging. 26(10). 1406–1414. 13 indexed citations
2.
Sehgal, Vivek, Zachary DelProposto, D. Haddar, et al.. (2006). Susceptibility‐weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. Journal of Magnetic Resonance Imaging. 24(1). 41–51. 170 indexed citations
3.
Xu, Yingbiao & E. Mark Haacke. (2005). The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging. Magnetic Resonance Imaging. 24(2). 155–160. 72 indexed citations
4.
Sehgal, Vivek, Zachary DelProposto, E. Mark Haacke, et al.. (2005). Clinical applications of neuroimaging with susceptibility‐weighted imaging. Journal of Magnetic Resonance Imaging. 22(4). 439–450. 331 indexed citations
5.
Xu, Yingbiao, Quan Jiang, Vivek Sehgal, et al.. (2004). Spectral pattern of total creatine and trimethyl ammonium in multiple sclerosis. Magnetic Resonance Imaging. 22(3). 427–429. 5 indexed citations
6.
Haacke, E. Mark, Yingbiao Xu, Yu‐Chung N. Cheng, & Jürgen R. Reichenbach. (2004). Susceptibility weighted imaging (SWI). Magnetic Resonance in Medicine. 52(3). 612–618. 1233 indexed citations breakdown →
7.
Deshpande, Vibhas, E. Mark Haacke, Steven M. Shea, et al.. (2004). Coronary artery imaging using three‐dimensional breath‐hold steady‐state free precession with two‐dimensional iterative partial fourier reconstruction. Journal of Magnetic Resonance Imaging. 19(5). 645–649. 5 indexed citations
8.
Xu, Yingbiao & E. Mark Haacke. (2001). Partial Fourier imaging in multi‐dimensions: A means to save a full factor of two in time. Journal of Magnetic Resonance Imaging. 14(5). 628–635. 31 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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