Ning Guo

1.1k total citations
22 papers, 774 citations indexed

About

Ning Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ning Guo has authored 22 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ning Guo's work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (4 papers). Ning Guo is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (4 papers). Ning Guo collaborates with scholars based in United States, China and Netherlands. Ning Guo's co-authors include Quanzheng Li, Xiang Li, Zhe Guo, Heng Huang, Kuang Gong, Huafeng Liu, Jianan Cui, Kyungsang Kim, Zhifang Wu and Chenxi Wu and has published in prestigious journals such as Biomaterials, NeuroImage and Scientific Reports.

In The Last Decade

Ning Guo

20 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Guo United States 10 444 189 186 133 83 22 774
Yongsheng Pan China 16 242 0.5× 161 0.9× 267 1.4× 230 1.7× 51 0.6× 80 1.0k
Yanye Lu China 19 487 1.1× 445 2.4× 298 1.6× 75 0.6× 34 0.4× 71 989
Binjie Qin China 14 351 0.8× 228 1.2× 226 1.2× 158 1.2× 104 1.3× 37 759
Rudi Deklerck Belgium 16 384 0.9× 232 1.2× 401 2.2× 210 1.6× 214 2.6× 54 946
Xiuxiu He United States 12 213 0.5× 174 0.9× 136 0.7× 107 0.8× 97 1.2× 35 537
Belma Dogdas United States 11 402 0.9× 295 1.6× 106 0.6× 27 0.2× 60 0.7× 24 788
Giles Tetteh Germany 11 462 1.0× 208 1.1× 136 0.7× 94 0.7× 189 2.3× 18 844
Md Tauhidul Islam United States 15 328 0.7× 222 1.2× 96 0.5× 115 0.9× 58 0.7× 56 656
Xuxin Chen United States 11 400 0.9× 146 0.8× 157 0.8× 307 2.3× 129 1.6× 40 858
Hesheng Wang United States 18 627 1.4× 255 1.3× 163 0.9× 56 0.4× 238 2.9× 77 1.1k

Countries citing papers authored by Ning Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ning Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Guo. A scholar is included among the top collaborators of Ning Guo 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 Ning Guo. Ning Guo 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.
Guo, Ning, et al.. (2022). The value of plasma insulin-like growth factor 1 and interleukin-18 in the diagnosis of bronchopulmonary dysplasia in premature infants. Frontiers in Pediatrics. 10. 1013537–1013537. 4 indexed citations
2.
Zhong, Aoxiao, Xiang Li, Dufan Wu, et al.. (2021). Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Analysis. 70. 101993–101993. 51 indexed citations
3.
Gong, Kuang, et al.. (2021). Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network. NeuroImage. 240. 118380–118380. 6 indexed citations
4.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2021). Populational and individual information based PET image denoising using conditional unsupervised learning. Physics in Medicine and Biology. 66(15). 155001–155001. 17 indexed citations
5.
Gong, Kuang, et al.. (2020). Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. IEEE Transactions on Biomedical Engineering. 69(1). 4–14. 14 indexed citations
6.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2019). PET image denoising using unsupervised deep learning. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2780–2789. 181 indexed citations
7.
Guo, Zhe, Xiang Li, Heng Huang, Ning Guo, & Quanzheng Li. (2019). Deep Learning-Based Image Segmentation on Multimodal Medical Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(2). 162–169. 273 indexed citations
8.
Li, Xiang, Ning Guo, & Quanzheng Li. (2019). Functional Neuroimaging in the New Era of Big Data. Genomics Proteomics & Bioinformatics. 17(4). 393–401. 23 indexed citations
9.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2019). CT-guided PET parametric image reconstruction using deep neural network without prior training data. 34–34. 15 indexed citations
10.
11.
Wang, X., et al.. (2018). MA05.11 Radiomics Analysis Using SVM Predicts Mediastinal Lymph Nodes Status of Squamous Cell Lung Cancer by Pre-Treatment Chest CT Scan. Journal of Thoracic Oncology. 13(10). S374–S374. 4 indexed citations
12.
Yang, Jiarui, Chenhui Hu, Ning Guo, et al.. (2017). Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports. 7(1). 13035–13035. 40 indexed citations
13.
Ying, Jun, Joyita Dutta, Ning Guo, et al.. (2016). Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks. IEEE Journal of Biomedical and Health Informatics. 24(6). 1805–1813. 25 indexed citations
14.
Guo, Ning, Fan Zhang, Xiaomeng Zhang, et al.. (2015). Quantitative Evaluation of Tumor Early Response to a Vascular-Disrupting Agent with Dynamic PET. Molecular Imaging and Biology. 17(6). 865–873. 5 indexed citations
15.
Wang, Mengdie, et al.. (2015). Retrospective data-driven respiratory gating for PET using TOF information. PubMed. 45. 4520–4523. 7 indexed citations
16.
Wang, Mengdie, Ning Guo, Joshua Schaefferkoetter, et al.. (2015). Automatic respiratory gating of TOF-PET data using time-of-flight information. 56. 427–427. 2 indexed citations
17.
18.
Dutta, Joyita, et al.. (2014). Feasibility of respiratory motion compensated reconstruction using 4D PET-derived deformation fields. 55. 2106–2106. 2 indexed citations
19.
Zhang, Fan, Xinglu Huang, Lei Zhu, et al.. (2012). Noninvasive monitoring of orthotopic glioblastoma therapy response using RGD-conjugated iron oxide nanoparticles. Biomaterials. 33(21). 5414–5422. 90 indexed citations
20.
Lang, Lixin, Weihua Li, Ning Guo, et al.. (2012). Correction to Comparison Study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET Imaging of U87MG Tumors in Mice. Bioconjugate Chemistry. 23(2). 308–308. 1 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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