Na Zhang

3.0k total citations
107 papers, 1.2k citations indexed

About

Na Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Na Zhang has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Pulmonary and Respiratory Medicine and 22 papers in Biomedical Engineering. Recurrent topics in Na Zhang's work include Medical Imaging Techniques and Applications (34 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Advanced MRI Techniques and Applications (30 papers). Na Zhang is often cited by papers focused on Medical Imaging Techniques and Applications (34 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Advanced MRI Techniques and Applications (30 papers). Na Zhang collaborates with scholars based in China, United States and Hong Kong. Na Zhang's co-authors include Xin Liu, Zhanli Hu, Hairong Zheng, Dong Liang, Yongfeng Yang, Sujing Wang, Chunguang Zhou, Lijuan Zhang, Xiaoyi Wang and Bob L. Hou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Na Zhang

99 papers receiving 1.2k citations

Peers

Na Zhang

RNMI

PRM

CVPR

NEURO

Geoffrey S. Young United States

Georgios Z. Papadakis United States

Chuan Huang United States

Guobin Zhang China

John A. Correia United States

Marie Foley Kijewski United States

Tadashi Araki Japan

Joshua Reicher United States

Andrew Todd‐Pokropek United Kingdom

Claude Kauffmann Canada

Geoffrey S. Young United States

Na Zhang

728 ×1.0

RNMI

225 ×0.7

PRM

342 ×1.7

187 ×1.0

CVPR

171 ×1.3

NEURO

Citations per year, relative to Na Zhang Na Zhang (= 1×) peers Geoffrey S. Young

Countries citing papers authored by Na Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Na Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Zhang

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

Zhang, Qiyang, Yingying Hu, Chao Zhou, et al.. (2024). Reducing pediatric total-body PET/CT imaging scan time with multimodal artificial intelligence technology. EJNMMI Physics. 11(1). 1–1. 9 indexed citations

Yu, Jingwei, Yan Sun, Tingting Liu, et al.. (2024). 651P Phase I study of XNW27011, a novel claudin 18.2 ADC, in patients with locally advanced and/or metastatic solid tumors. Annals of Oncology. 35. S514–S514. 3 indexed citations

Zhang, Na, et al.. (2024). Yunnan baiyao exerts anti-glioma activity by inducing autophagy-dependent necroptosis. Journal of Ethnopharmacology. 335. 118658–118658. 4 indexed citations

Chen, Zixiang, Zhenxing Huang, Na Zhang, et al.. (2024). Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(7). 762–773.

Zhang, Na, Fardad Michael Serry, Chia-Chi Yang, et al.. (2024). Enhancing Whole-Brain Magnetic Field Homogeneity for 3D-Magnetic Resonance Spectroscopic Imaging with a Novel Unified Coil: A Preliminary Study. Cancers. 16(6). 1233–1233. 2 indexed citations

Huang, Zhenxing, Na Zhang, Yaping Wu, et al.. (2024). Accurate Whole-Brain Segmentation for Bimodal PET/MR Images via a Cross-Attention Mechanism. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(1). 47–56. 5 indexed citations

Li, Junjie, et al.. (2024). Mesothelin expression prediction in pancreatic cancer based on multimodal stochastic configuration networks. Medical & Biological Engineering & Computing. 63(4). 1117–1129. 1 indexed citations

Huang, Zhenxing, Han Liu, Yaping Wu, et al.. (2023). Automatic brain structure segmentation for 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance images via deep learning. Quantitative Imaging in Medicine and Surgery. 13(7). 4447–4462. 11 indexed citations

Wei, Zidong, Qiaoyan Chen, Shuheng Zhang, et al.. (2023). 5T magnetic resonance imaging: radio frequency hardware and initial brain imaging. Quantitative Imaging in Medicine and Surgery. 13(5). 3222–3240. 16 indexed citations

10.

Chen, Yingying, Yang Long, Zhenxing Huang, et al.. (2023). Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Biomedical Signal Processing and Control. 87. 105433–105433. 6 indexed citations

11.

Huang, Zhenxing, Wenbo Li, Yaping Wu, et al.. (2023). Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning. European Journal of Nuclear Medicine and Molecular Imaging. 51(1). 27–39. 15 indexed citations

12.

Chen, Zixiang, Na Zhang, Qiyang Zhang, et al.. (2023). Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). Biomedical Signal Processing and Control. 86. 105225–105225. 2 indexed citations

13.

Yu, Lan, Ke Feng, Lei Zhang, et al.. (2023). A novel mutation in PCD‐associated gene DNAAF3 causes male infertility due to asthenozoospermia. Journal of Cellular and Molecular Medicine. 27(20). 3107–3116. 4 indexed citations

14.

Chen, Zixiang, Zhaoping Cheng, Yanhua Duan, et al.. (2022). Accurate total‐body K_i parametric imaging with shortened dynamic ¹⁸F‐FDG PET scan durations via effective data processing. Medical Physics. 50(4). 2121–2134. 6 indexed citations

15.

Huang, Zhenxing, Zhou Liu, Yuanyuan Lei, et al.. (2022). Segmentation-guided Denoising Network for Low-dose CT Imaging. Computer Methods and Programs in Biomedicine. 227. 107199–107199. 14 indexed citations

16.

Pang, Zhi‐Feng, Lan Zhang, Yanru Zhou, et al.. (2022). Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Processing. 205. 108881–108881. 20 indexed citations

17.

Zhao, Shujun, Zhaoping Cheng, Zixiang Chen, et al.. (2022). Dynamic PET Imaging Using Dual Texture Features. Frontiers in Computational Neuroscience. 15. 819840–819840. 4 indexed citations

18.

Wang, Guan, Na Zhang, M. Marcel Maya, et al.. (2019). Cerebral Venous Thrombosis: MR Black-Blood Thrombus Imaging with Enhanced Blood Signal Suppression. American Journal of Neuroradiology. 40(10). 1725–1730. 14 indexed citations

19.

Xu, Ziqi, Jinhao Lyu, Na Zhang, et al.. (2019). Association between basilar artery configuration and Vessel Wall features: a prospective high-resolution magnetic resonance imaging study. BMC Medical Imaging. 19(1). 99–99. 4 indexed citations

20.

Hu, Zhanli, Juan Gao, Na Zhang, et al.. (2017). An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction. Scientific Reports. 7(1). 10747–10747. 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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