Saifeng Liu

1.8k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Saifeng Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Saifeng Liu has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Saifeng Liu's work include Advanced MRI Techniques and Applications (20 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (6 papers). Saifeng Liu is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (6 papers). Saifeng Liu collaborates with scholars based in United States, China and Canada. Saifeng Liu's co-authors include E. Mark Haacke, Weili Zheng, Sagar Buch, Yongquan Ye, Dongmei Wu, Yu‐Chung N. Cheng, Yongsheng Chen, Helen Nichol, Shuang Xia and Kiarash Ghassaban and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Saifeng Liu

29 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantitative susceptibility mapping: current status and future directions

2014 405 citations E. Mark Haacke, Saifeng Liu et al. Magnetic Resonance Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saifeng Liu United States	18	880	361	186	175	102	29	1.3k
Sagar Buch United States	16	832 0.9×	244 0.7×	134 0.7×	186 1.1×	76 0.7×	35	1.2k
Samantha Holdsworth United States	24	1.3k 1.5×	202 0.6×	146 0.8×	154 0.9×	112 1.1×	96	1.9k
Yingbiao Xu United States	6	1.2k 1.4×	534 1.5×	319 1.7×	117 0.7×	125 1.2×	8	1.9k
Peter C. van Zijl United States	14	1.0k 1.1×	146 0.4×	115 0.6×	120 0.7×	108 1.1×	23	1.4k
Weili Zheng United States	20	814 0.9×	279 0.8×	85 0.5×	228 1.3×	90 0.9×	46	1.7k
Chen Lin United States	25	1.1k 1.2×	220 0.6×	377 2.0×	89 0.5×	104 1.0×	71	1.8k
Yoonho Nam South Korea	27	1.1k 1.3×	334 0.9×	64 0.3×	93 0.5×	203 2.0×	107	2.0k
Otto Mølby Henriksen Denmark	25	834 0.9×	176 0.5×	95 0.5×	228 1.3×	77 0.8×	87	1.5k
Queenie Chan China	29	1.5k 1.7×	115 0.3×	207 1.1×	173 1.0×	112 1.1×	108	2.3k
Wenzhen Zhu China	27	1.4k 1.6×	201 0.6×	166 0.9×	161 0.9×	82 0.8×	80	2.1k

Countries citing papers authored by Saifeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Saifeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saifeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Saifeng Liu. A scholar is included among the top collaborators of Saifeng Liu 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 Saifeng Liu. Saifeng Liu 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

Tan, Samantha, Septian Hartono, Thomas Welton, et al.. (2021). Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson’s disease. NeuroImage Clinical. 32. 102831–102831. 20 indexed citations

Wang, Chaoyue, Yue Zhang, Jingwen Du, et al.. (2020). Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease. Journal of Magnetic Resonance Imaging. 52(2). 534–541. 12 indexed citations

Liu, Saifeng, Yongsheng Chen, Sagar Buch, et al.. (2020). Multi-Echo Quantitative Susceptibility Mapping for Strategically Acquired Gradient Echo (STAGE) Imaging. Frontiers in Neuroscience. 14. 581474–581474. 15 indexed citations

Liu, Saifeng, David Utriainen, Chao Chai, et al.. (2019). Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning. NeuroImage. 198. 271–282. 66 indexed citations

Cheng, Yu‐Chung N., et al.. (2018). Removing unwanted background phase with a reference phantom for applications in susceptibility quantification. Magnetic Resonance Imaging. 54. 32–45. 1 indexed citations

Ghassaban, Kiarash, Saifeng Liu, Caihong Jiang, & E. Mark Haacke. (2018). Quantifying iron content in magnetic resonance imaging. NeuroImage. 187. 77–92. 75 indexed citations

Liu, Saifeng, Chaoyue Wang, Xiao‐Qi Zhang, et al.. (2018). Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels. Quantitative Imaging in Medicine and Surgery. 8(2). 123–134. 14 indexed citations

Chai, Chao, Huiying Wang, Saifeng Liu, et al.. (2018). Increased iron deposition of deep cerebral gray matter structures in hemodialysis patients: A longitudinal study using quantitative susceptibility mapping. Journal of Magnetic Resonance Imaging. 49(3). 786–799. 20 indexed citations

Sethi, Sean K., Kiarash Ghassaban, Ali H. Rajput, et al.. (2018). Iron quantification in Parkinson's disease using an age-based threshold on susceptibility maps: The advantage of local versus entire structure iron content measurements. Magnetic Resonance Imaging. 55. 145–152. 17 indexed citations

10.

Chai, Chao, Saifeng Liu, Linlin Fan, et al.. (2017). Reduced deep regional cerebral venous oxygen saturation in hemodialysis patients using quantitative susceptibility mapping. Metabolic Brain Disease. 33(1). 313–323. 9 indexed citations

11.

Chai, Chao, Rui Guo, Chao Zuo, et al.. (2017). Decreased susceptibility of major veins in mild traumatic brain injury is correlated with post-concussive symptoms: A quantitative susceptibility mapping study. NeuroImage Clinical. 15. 625–632. 22 indexed citations

12.

Chen, Yongsheng, Saifeng Liu, Yu Wang, Yan Kang, & E. Mark Haacke. (2017). STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping. Magnetic Resonance Imaging. 46. 130–139. 72 indexed citations

13.

Chen, Yongsheng, Saifeng Liu, Sagar Buch, et al.. (2017). An interleaved sequence for simultaneous magnetic resonance angiography (MRA), susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM). Magnetic Resonance Imaging. 47. 1–6. 20 indexed citations

14.

Cheng, Yu‐Chung N., et al.. (2016). Quantifications of in vivo labeled stem cells based on measurements of magnetic moments. Magnetic Resonance Imaging. 35. 141–147. 3 indexed citations

15.

Liu, Saifeng, Sagar Buch, Yongsheng Chen, et al.. (2016). Susceptibility‐weighted imaging: current status and future directions. NMR in Biomedicine. 30(4). 126 indexed citations

16.

Palma, Giuseppe, Enrico Tedeschi, Pasquale Borrelli, et al.. (2015). A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain. PLoS ONE. 10(8). e0134963–e0134963. 34 indexed citations

17.

Cheng, Yu‐Chung N., et al.. (2015). A quantitative study of susceptibility and additional frequency shift of three common materials in MRI. Magnetic Resonance in Medicine. 76(4). 1263–1269. 4 indexed citations

18.

Haacke, E. Mark, Saifeng Liu, Sagar Buch, et al.. (2014). Quantitative susceptibility mapping: current status and future directions. Magnetic Resonance Imaging. 33(1). 1–25. 405 indexed citations breakdown →

19.

Zheng, Weili, Helen Nichol, Saifeng Liu, Yu‐Chung N. Cheng, & E. Mark Haacke. (2013). Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging. NeuroImage. 78. 68–74. 140 indexed citations

20.

Liu, Saifeng, Jaladhar Neelavalli, Yu‐Chung N. Cheng, Jin Tang, & E. Mark Haacke. (2012). Quantitative susceptibility mapping of small objects using volume constraints. Magnetic Resonance in Medicine. 69(3). 716–723. 17 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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