Xinzeng Wang

531 total citations
28 papers, 391 citations indexed

About

Xinzeng Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Xinzeng Wang has authored 28 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Biomedical Engineering. Recurrent topics in Xinzeng Wang's work include Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (7 papers) and Medical Imaging Techniques and Applications (7 papers). Xinzeng Wang is often cited by papers focused on Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (7 papers) and Medical Imaging Techniques and Applications (7 papers). Xinzeng Wang collaborates with scholars based in United States, Spain and China. Xinzeng Wang's co-authors include Ananth J. Madhuranthakam, Robert E. Lenkinski, Jiuyan Li, Huicai Ren, Di Liu, Shu Zhang, Renjie Wang, Ting Zhang, Avneesh Chhabra and Jochen Keupp and has published in prestigious journals such as Radiology, Journal of Materials Chemistry and Magnetic Resonance in Medicine.

In The Last Decade

Xinzeng Wang

25 papers receiving 388 citations

Peers

Xinzeng Wang

RNMI

EEE

SURGE

Cheng‐Chieh Cheng United States

Qinwei Zhang China

Jan Novák United Kingdom

Hansford C. Hendargo United States

Jiqi Cheng United States

Ju Zhang China

Jaesok Yu United States

J Barkhausen Germany

Ernesto Forte Italy

C. Jordan United States

Cheng‐Chieh Cheng United States

Xinzeng Wang

185 ×0.7

RNMI

100 ×0.8

139 ×2.2

EEE

56 ×1.2

SURGE

32 ×0.9

Citations per year, relative to Xinzeng Wang Xinzeng Wang (= 1×) peers Cheng‐Chieh Cheng

Countries citing papers authored by Xinzeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xinzeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinzeng Wang

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

Li, Chia‐Wei, et al.. (2025). Deep learning based multi-shot breast diffusion MRI: Improving imaging quality and reduced distortion. European Journal of Radiology. 193. 112419–112419. 1 indexed citations

Hwang, Ken‐Pin, Jingfei Ma, Usama Salem, et al.. (2025). T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study. Journal of Applied Clinical Medical Physics. 26(5). e70031–e70031.

Zellner, Micha el, Fraser M. Callaghan, Xinzeng Wang, et al.. (2025). Deep learning-based denoising image reconstruction of body magnetic resonance imaging in children. Pediatric Radiology. 55(6). 1235–1244. 3 indexed citations

Wang, Kang, Andreas M. Loening, Ali Syed, et al.. (2025). Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning–Based Denoising. Investigative Radiology. 60(7). 444–453.

Cochran, Rory L., et al.. (2025). Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 T. Clinical Imaging. 130. 110681–110681.

Song, You Seon, et al.. (2024). Clinical efficacy of motion-insensitive imaging technique with deep learning reconstruction to improve image quality in cervical spine MR imaging. British Journal of Radiology. 97(1156). 812–819. 1 indexed citations

Hahn, Seok, Ho‐Joon Lee, Yedaun Lee, et al.. (2023). Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction. Skeletal Radiology. 52(8). 1545–1555. 12 indexed citations

Matsumoto, Shohei, Takahiro Tsuboyama, Hiromitsu Onishi, et al.. (2023). Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction. Investigative Radiology. 59(7). 479–488. 7 indexed citations

Saleh, Mohammed F., Mayur Virarkar, Sanaz Javadi, et al.. (2023). A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 47(5). 721–728. 3 indexed citations

10.

Wang, Xinzeng, et al.. (2022). Application of deep learning–based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time. European Radiology. 33(3). 1513–1525. 28 indexed citations

11.

Wang, Xinzeng, Jingfei Ma, Priya Bhosale, et al.. (2021). Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging. Abdominal Radiology. 46(7). 3378–3386. 54 indexed citations

12.

Zhang, Shu, Gaiane M. Rauch, Beatriz E. Adrada, et al.. (2021). Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer–weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study. Radiology Imaging Cancer. 3(5). e200155–e200155. 14 indexed citations

13.

Ercan, Ece, Gopal Varma, Ivan Dimitrov, et al.. (2020). Combining inhomogeneous magnetization transfer and multipoint Dixon acquisition: Potential utility and evaluation. Magnetic Resonance in Medicine. 85(4). 2136–2144. 5 indexed citations

14.

Wang, Xinzeng, et al.. (2018). Frequency Offset Corrected Inversion Pulse for B₀ and B₁ Insensitive Fat Suppression at 3T: Application to MR Neurography of Brachial Plexus. Journal of Magnetic Resonance Imaging. 48(4). 1104–1111. 9 indexed citations

15.

Wang, Xinzeng, Ali Pirasteh, James Brugarolas, et al.. (2018). Whole‐body MRI for metastatic cancer detection using T₂‐weighted imaging with fat and fluid suppression. Magnetic Resonance in Medicine. 80(4). 1402–1415. 9 indexed citations

16.

Wang, Xinzeng, Crystal Harrison, Yogesh K. Mariappan, et al.. (2016). MR Neurography of Brachial Plexus at 3.0 T with Robust Fat and Blood Suppression. Radiology. 283(2). 538–546. 59 indexed citations

17.

Deng, Lijun, Xinzeng Wang, Zhengchuan Zhang, & Jiuyan Li. (2012). Durene-decorated CBP derivatives as phosphorescent hosts and exciton-blocking materials for efficient blue OLEDs. Journal of Materials Chemistry. 22(37). 19700–19700. 14 indexed citations

18.

Wang, Renjie, Di Liu, Huicai Ren, et al.. (2011). Homoleptic tris-cyclometalated iridium complexes with 2-phenylbenzothiazole ligands for highly efficient orange OLEDs. Journal of Materials Chemistry. 21(39). 15494–15494. 64 indexed citations

19.

Wang, Xinzeng, et al.. (2010). Based on PSO algorithm multiple task assignments for cooperating UAVs. 4 indexed citations

20.

Wang, Xinzeng, et al.. (2010). Route planning for unmanned aerial vehicle based on threat probability and mission time restriction. 27–30. 9 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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