Ying Guo

4.2k total citations
157 papers, 2.3k citations indexed

About

Ying Guo is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Guo has authored 157 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 35 papers in Molecular Biology and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Guo's work include Functional Brain Connectivity Studies (40 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Neural dynamics and brain function (16 papers). Ying Guo is often cited by papers focused on Functional Brain Connectivity Studies (40 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Neural dynamics and brain function (16 papers). Ying Guo collaborates with scholars based in United States, China and Italy. Ying Guo's co-authors include Giuseppe Pagnoni, Miloš Cekić, Roderick J. A. Little, Yikai Wang, Amita K. Manatunga, Drenna Waldrop‐Valverde, Jian Kang, Yikai Wang, Zhengfu Zhang and Jianbin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Ying Guo

144 papers receiving 2.2k citations

Peers

Ying Guo

RNMI

ONCOL

Hung‐Wen Yeh United States

Yijun Liu China

Ning Zhang China

Zhe Zhang China

Kazunori Matsumoto Japan

Stephen J. Wilson United States

Hongbao Cao United States

Nian Xiong China

Stephen Mayhew United Kingdom

Shinya Sakai Japan

Hung‐Wen Yeh United States

Ying Guo

478 ×0.8

415 ×0.9

223 ×0.8

RNMI

337 ×1.5

ONCOL

264 ×1.5

Citations per year, relative to Ying Guo Ying Guo (= 1×) peers Hung‐Wen Yeh

Countries citing papers authored by Ying Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ying Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Guo

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

Hu, Haitao, Meihong Yang, & Ying Guo. (2024). Student Behavior Detection Method Based on Improved YOLOv5 Algorithm. 1406–1411.

Guo, Ying, Jason C. White, Xingyuan Zhang, et al.. (2024). Fe2O3 nanoparticles enhance soybean resistance to root rot by modulating metabolic pathways and defense response. Pesticide Biochemistry and Physiology. 208. 106252–106252. 5 indexed citations

Zhong, Genshen, Ying Guo, Xue Gong, et al.. (2023). Enhanced glycolysis by ATPIF1 gene inactivation increased the anti-bacterial activities of neutrophils through induction of ROS and lactic acid. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(8). 166820–166820. 6 indexed citations

Lukemire, Joshua, Giuseppe Pagnoni, & Ying Guo. (2023). Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks. Biometrics. 79(4). 3599–3611. 3 indexed citations

Kan, Xuan, Zimu Li, Hejie Cui, et al.. (2023). R-Mixup: Riemannian Mixup for Biological Networks. PubMed. 2023. 1073–1085. 1 indexed citations

Li, Xiaolin, Xuehui Zhang, Yupeng Wang, et al.. (2023). The Cervicovaginal Expression Level of Interleukin-6 Can be a Prediction Factor for Cervical Intraepithelial Neoplasias and Cervical Cancer: A Prospective Cohort Study. SHILAP Revista de lepidopterología. 50(11). 1 indexed citations

Wang, Yikai & Ying Guo. (2023). LOCUS: A regularized blind source separation method with low-rank structure for investigating brain connectivity. The Annals of Applied Statistics. 17(2). 1307–1332. 1 indexed citations

Wang, Wenhua, et al.. (2023). Multiomics Reveals the Key Microorganisms and Metabolites in the Resistance to Root Rot Disease of Paris polyphylla. Genes. 15(1). 21–21. 4 indexed citations

Cui, Hejie, et al.. (2023). Transformer-Based Hierarchical Clustering for Brain Network Analysis. 1–5. 5 indexed citations

10.

Guo, Ying, et al.. (2022). A Cross-Sectional Survey of National Chinese College Students’ Mental Status during COVID-19 Pandemic: Using a Compiled Stress Response Questionnaire. International Journal of Environmental Research and Public Health. 19(19). 12079–12079. 1 indexed citations

11.

Wei, Bo, Limin Peng, Ying Guo, Amita K. Manatunga, & Jennifer S. Stevens. (2022). Tensor Response Quantile Regression with Neuroimaging Data. Biometrics. 79(3). 1947–1958. 2 indexed citations

12.

Liu, Dong, et al.. (2022). Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data. Biometrics. 79(3). 2246–2259. 1 indexed citations

13.

Valverde, Eduardo, Allan Rodríguez, Becky L. White, Ying Guo, & Drenna Waldrop‐Valverde. (2018). nderstanding the Association of Internalized HIV Stigma with Retention in HIV Care. PubMed. 4(3). 15 indexed citations

14.

Wang, Yikai, et al.. (2018). Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. Brain Connectivity. 8(10). 579–594. 8 indexed citations

15.

Kundu, Suprateek, Ming Jin, Jordan E. Pierce, Jennifer E. McDowell, & Ying Guo. (2018). Estimating dynamic brain functional networks using multi-subject fMRI data. NeuroImage. 183. 635–649. 17 indexed citations

16.

Pang, Bo, Nan Wu, Rongwei Guan, et al.. (2017). Overexpression of RCC2 Enhances Cell Motility and Promotes Tumor Metastasis in Lung Adenocarcinoma by Inducing Epithelial–Mesenchymal Transition. Clinical Cancer Research. 23(18). 5598–5610. 60 indexed citations

17.

Shi, Ran & Ying Guo. (2016). Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis. The Annals of Applied Statistics. 10(4). 1930–1957. 17 indexed citations

18.

Zhang, Kexin, Panpan Zhao, Ying Guo, et al.. (2015). Arsenic Trioxide Attenuates NF-κB and Cytokine mRNA Levels in the Livers of Cocks. Biological Trace Element Research. 170(2). 432–437. 18 indexed citations

19.

Guo, Ying, Mary Nilsson, John H. Heiligenstein, Michael G. Wilson, & Graham J. Emslie. (2006). An Exploratory Factor Analysis of the Children’s Depression Rating Scale–Revised. Journal of Child and Adolescent Psychopharmacology. 16(4). 482–491. 27 indexed citations

20.

Guo, Ying, Dominique L. Musselman, Amita K. Manatunga, et al.. (2006). The Diagnosis of Major Depression in Patients With Cancer: A Comparative Approach. Psychosomatics. 47(5). 376–384. 29 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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