Xiaoqing Wang

1.3k total citations
70 papers, 907 citations indexed

About

Xiaoqing Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Xiaoqing Wang has authored 70 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Xiaoqing Wang's work include Advanced MRI Techniques and Applications (24 papers), Cardiac Imaging and Diagnostics (10 papers) and Medical Imaging Techniques and Applications (9 papers). Xiaoqing Wang is often cited by papers focused on Advanced MRI Techniques and Applications (24 papers), Cardiac Imaging and Diagnostics (10 papers) and Medical Imaging Techniques and Applications (9 papers). Xiaoqing Wang collaborates with scholars based in China, Germany and United States. Xiaoqing Wang's co-authors include Jens Frahm, Volkert Roeloffs, Martin Uecker, Zhengguo Tan, Dirk Voit, Takashi Watanabe, Yulian Wang, Dapeng Peng, Christina Unterberg‐Buchwald and Wei‐Hong Zhang and has published in prestigious journals such as Advanced Materials, NeuroImage and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaoqing Wang

64 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqing Wang China 19 423 144 133 72 65 70 907
Ján Weis Sweden 19 446 1.1× 76 0.5× 166 1.2× 81 1.1× 22 0.3× 91 1.2k
Ángel Moreno United States 16 356 0.8× 45 0.3× 236 1.8× 41 0.6× 54 0.8× 27 1.0k
Haiying Liu United States 18 636 1.5× 41 0.3× 119 0.9× 113 1.6× 109 1.7× 42 1.4k
Alan C. Nelson United States 15 288 0.7× 154 1.1× 93 0.7× 234 3.3× 37 0.6× 51 1.2k
Christakis Constantinides United States 11 696 1.6× 153 1.1× 84 0.6× 92 1.3× 29 0.4× 23 990
Munetaka Haida Japan 19 204 0.5× 64 0.4× 160 1.2× 148 2.1× 33 0.5× 67 912
Gerald Moran Canada 17 217 0.5× 47 0.3× 163 1.2× 146 2.0× 30 0.5× 36 909
Ignacio Rodríguez Spain 19 424 1.0× 120 0.8× 156 1.2× 134 1.9× 52 0.8× 51 1.0k
Trevor Andrews United States 19 555 1.3× 27 0.2× 167 1.3× 43 0.6× 83 1.3× 37 1.0k

Countries citing papers authored by Xiaoqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqing Wang. A scholar is included among the top collaborators of Xiaoqing 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 Xiaoqing Wang. Xiaoqing 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
1.
He, Junyi, Xiaoqing Wang, Jingze Zhang, et al.. (2025). The Impact of Radiation Dose to Immune Cells in Stage IV Non-Small Cell Lung Cancer in the Era of Immunotherapy. Clinical Lung Cancer. 26(3). 221–227.e1.
2.
Cui, Ping, Hongxia Yan, Tianhang Li, et al.. (2024). Cardiovascular comorbidities among patients with psoriasis: a national register-based study in China. Scientific Reports. 14(1). 19683–19683. 2 indexed citations
3.
4.
Liu, Xue-Feng, et al.. (2023). Snapshot compressed sensing computed-tomography imaging spectrometry. Optics & Laser Technology. 170. 110158–110158. 3 indexed citations
5.
Wang, Xiaoqing, et al.. (2023). Quantitative MRI by nonlinear inversion of the Bloch equations. Magnetic Resonance in Medicine. 90(2). 520–538. 7 indexed citations
6.
Wang, Xiaoqing, Volkert Roeloffs, Zhengguo Tan, et al.. (2022). Free‐breathing myocardial T1 mapping using inversion‐recovery radial FLASH and motion‐resolved model‐based reconstruction. Magnetic Resonance in Medicine. 89(4). 1368–1384. 12 indexed citations
7.
Tan, Zhengguo, et al.. (2022). Free-Breathing Liver Fat,R₂* andB₀ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction. IEEE Transactions on Medical Imaging. 42(5). 1374–1387. 8 indexed citations
8.
Ren, Yan, Xueying Zhao, Xiaoqing Wang, et al.. (2022). Incorporating multiple magnetic resonance diffusion models to differentiate low- and high-grade adult gliomas: a machine learning approach. Quantitative Imaging in Medicine and Surgery. 12(11). 5171–5183. 10 indexed citations
9.
Uecker, Martin, et al.. (2021). mrirecon/bart: version 0.7.00. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
10.
Shi, Xiaojuan, Lei Han, Tianshu Sun, et al.. (2020). Silencing UHRF1 enhances cell autophagy to prevent articular chondrocytes from apoptosis in osteoarthritis through PI3K/AKT/mTOR signaling pathway. Biochemical and Biophysical Research Communications. 529(4). 1018–1024. 21 indexed citations
11.
Uecker, Martin, et al.. (2020). mrirecon/bart: version 0.6.00. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
12.
Wang, Xiaoqing, et al.. (2020). Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical. Mathematical Problems in Engineering. 2020. 1–9. 26 indexed citations
13.
Wang, Xiaoqing, et al.. (2020). Data for: Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH. Zenodo (CERN European Organization for Nuclear Research). 17 indexed citations
14.
Wang, Weiming, et al.. (2020). The predictive value of heart rate variability indices tested in early period after radiofrequency catheter ablation for the recurrence of atrial fibrillation. Journal of Cardiovascular Electrophysiology. 31(6). 1350–1355. 11 indexed citations
15.
Wang, Xiaoqing, Xiangnan Feng, & Xinyuan Song. (2020). Joint analysis of semicontinuous data with latent variables. Computational Statistics & Data Analysis. 151. 107005–107005. 2 indexed citations
16.
Watanabe, Takashi, Xiaoqing Wang, Zhengguo Tan, & Jens Frahm. (2019). Magnetic resonance imaging of brain cell water. Scientific Reports. 9(1). 5084–5084. 21 indexed citations
17.
Watanabe, Takashi, et al.. (2019). Magnetic resonance imaging of noradrenergic neurons. Brain Structure and Function. 224(4). 1609–1625. 43 indexed citations
18.
Wang, Xiaoqing, Dirk Voit, Volkert Roeloffs, Martin Uecker, & Jens Frahm. (2018). Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH. Computational and Mathematical Methods in Medicine. 2018. 1–8. 7 indexed citations
19.
Wang, Xiaoqing, Volkert Roeloffs, Zhengguo Tan, et al.. (2017). Model‐based T1 mapping with sparsity constraints using single‐shot inversion‐recovery radial FLASH. Magnetic Resonance in Medicine. 79(2). 730–740. 61 indexed citations
20.
Wang, Xiaoqing, Arun Joseph, Klaus‐Dietmar Merboldt, et al.. (2016). High-resolution myocardial T 1 mapping using single-shot inversion recovery fast low-angle shot MRI with radial undersampling and iterative reconstruction. British Journal of Radiology. 89(1068). 20160255–20160255. 28 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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