Xiaoping Wu

4.5k total citations
69 papers, 1.4k citations indexed

About

Xiaoping Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Xiaoping Wu has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cognitive Neuroscience and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Xiaoping Wu's work include Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (13 papers). Xiaoping Wu is often cited by papers focused on Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (13 papers). Xiaoping Wu collaborates with scholars based in United States, China and Germany. Xiaoping Wu's co-authors include Kâmil Uǧurbil, Pierre‐François Van de Moortele, Edward J. Auerbach, Sebastian Schmitter, Gregor Adriany, Steen Moeller, Rui Yang, Lance DelaBarre, J. Thomas Vaughan and Gregory J. Metzger and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaoping Wu

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Wu United States 24 972 358 259 257 177 69 1.4k
Maarten J. Versluis Netherlands 28 1.2k 1.2× 412 1.2× 155 0.6× 250 1.0× 193 1.1× 64 2.2k
Johannes M. Hoogduin Netherlands 21 852 0.9× 739 2.1× 117 0.5× 122 0.5× 149 0.8× 41 1.9k
Priti Balchandani United States 22 772 0.8× 493 1.4× 127 0.5× 109 0.4× 82 0.5× 86 1.5k
Franciszek Hennel Switzerland 17 806 0.8× 300 0.8× 153 0.6× 262 1.0× 90 0.5× 50 1.2k
Toralf Mildner Germany 22 698 0.7× 559 1.6× 209 0.8× 133 0.5× 61 0.3× 66 1.2k
Christopher J. Wiggins Germany 26 1.3k 1.4× 1.6k 4.6× 166 0.6× 243 0.9× 126 0.7× 63 2.8k
Christoph Juchem United States 24 1.3k 1.4× 313 0.9× 549 2.1× 284 1.1× 90 0.5× 77 1.8k
Andrew Peters United Kingdom 16 918 0.9× 898 2.5× 117 0.5× 162 0.6× 88 0.5× 27 1.8k
J.H. Duyn United States 20 1.4k 1.4× 625 1.7× 257 1.0× 206 0.8× 63 0.4× 30 2.2k
Tobias Wood United Kingdom 18 793 0.8× 235 0.7× 88 0.3× 101 0.4× 153 0.9× 55 1.4k

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Wu. A scholar is included among the top collaborators of Xiaoping Wu 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 Xiaoping Wu. Xiaoping Wu 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.
Lagore, Russell, Andrea Grant, Edward J. Auerbach, et al.. (2025). A 128‐channel receive array with enhanced signal‐to‐noise ratio performance for 10.5T brain imaging. Magnetic Resonance in Medicine. 93(6). 2680–2698. 3 indexed citations
2.
Zhang, Jinyuan, Zihao Zhang, Zhentao Zuo, et al.. (2025). Data Stitching for Dynamic Field Monitoring With NMR Probes. Magnetic Resonance in Medicine. 95(4). 1944–1958.
3.
Gui, Honglian, Yan Shen, Lin Tan, et al.. (2025). Interim Analysis of 48-week Tenofovir Amibufenamide Treatment in Chronic Hepatitis B Patients with Normal Alanine Aminotransferase Levels: The PROMOTE Study. Journal of Clinical and Translational Hepatology. 0(0). 0–0.
4.
Kong, Nan, Qiran Zhang, Xiaohong Gao, et al.. (2024). Predictive model for HBsAg clearance rate in chronic hepatitis B patients treated with pegylated interferon α-2b for 48 weeks. Hepatology International. 19(2). 358–367. 1 indexed citations
5.
Lagore, Russell, Edward J. Auerbach, Andrea Grant, et al.. (2024). RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5T. Magnetic Resonance in Medicine. 93(2). 873–888. 5 indexed citations
6.
Wu, Qingchen, Ming Ni, Feng Xue, Xiaoping Wu, & Tian Jiang. (2024). EP.07C.13 Aumolertinib as Adjuvant Therapy in Postoperative EGFR-Mutated Stage I NSCLC with Multiple High-Risk Factors. Journal of Thoracic Oncology. 19(10). S545–S545.
8.
Wu, Xiaoping, et al.. (2022). Serum Cortisol, Nesfatin-1, and IL-1β: Potential Diagnostic Biomarkers in Elderly Patients with Treatment-Resistant Depression. Clinical Interventions in Aging. Volume 17. 567–576. 11 indexed citations
10.
He, Xiaoxuan, et al.. (2021). Parallel transmit optimized 3D composite adiabatic spectral‐spatial pulse for spectroscopy. Magnetic Resonance in Medicine. 86(1). 17–32. 3 indexed citations
11.
Yin, Xiaohui, Lingjun Chen, Mingyue Ma, et al.. (2021). Altered Brain Structure and Spontaneous Functional Activity in Children With Concomitant Strabismus. Frontiers in Human Neuroscience. 15. 777762–777762. 9 indexed citations
12.
Zhang, Hong, Xiaoping Wu, Run Liu, et al.. (2021). Abnormal Intrinsic Functional Interactions Within Pain Network in Cervical Discogenic Pain. Frontiers in Neuroscience. 15. 671280–671280. 3 indexed citations
13.
Peng, Xiaomei, Xiaoping Wu, Rui Yang, et al.. (2020). Sub-regional anterior cingulate cortex functional connectivity revealed default network subsystem dysfunction in patients with major depressive disorder. Psychological Medicine. 51(10). 1687–1695. 33 indexed citations
14.
Moeller, Steen, Pramod Kumar Pisharady, Sudhir Ramanna, et al.. (2020). NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage. 226. 117539–117539. 77 indexed citations
15.
Ma, Xiaodong, Kâmil Uǧurbil, & Xiaoping Wu. (2020). Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation. NeuroImage. 215. 116852–116852. 25 indexed citations
16.
Ma, Mingyue, Hong Zhang, Run Liu, et al.. (2020). Static and Dynamic Changes of Amplitude of Low-Frequency Fluctuations in Cervical Discogenic Pain. Frontiers in Neuroscience. 14. 733–733. 13 indexed citations
17.
He, Xiaoxuan, M. Arcan Ertürk, Andrea Grant, et al.. (2019). First in‐vivo human imaging at 10.5T: Imaging the body at 447 MHz. Magnetic Resonance in Medicine. 84(1). 289–303. 61 indexed citations
18.
Wu, Xiaoping, Pan Lin, Junle Yang, et al.. (2016). Dysfunction of the cingulo-opercular network in first-episode medication-naive patients with major depressive disorder. Journal of Affective Disorders. 200. 275–283. 62 indexed citations
19.
Wu, Xiaoping. (2009). Nursing Staff Compliance with Hand Hygiene Protocol in NICU in a Regional Perinatal Center. Touro Scholar (Touro College). 2(1). 25.
20.
Wu, Xiaoping, J. Thomas Vaughan, Kâmil Uǧurbil, & Pierre‐François Van de Moortele. (2009). Parallel excitation in the human brain at 9.4 T counteracting k‐space errors with RF pulse design. Magnetic Resonance in Medicine. 63(2). 524–529. 38 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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