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Qiang Qu

Biographic Data

ID7308243
NAMEQiang Qu
GIVEN NAMESQiang
FAMILY NAMEQu
SIGNATUREQU Q
AFFILIATIONSCentral South University
ORCID0000-0002-1661-3261
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2025
H-INDEX0
  • STAE-BiSSSM

    Open Access•Duoliang Liu, D D Liu et al.•ARTICLE•ISPRS International Journal of…•2025

    Traffic flow forecasting plays a significant role in intelligent transportation systems (ITSs) and is instructive for traffic planning, management and control. Increasingly complex traffic conditions pose further challenges to the traffic flow forecasting. While improving the accuracy of model forecasting, the parameter effectiveness of the model is also an issue that cannot be ignored. In addition, existing traffic prediction models have failed …

  • Trends in general and abdominal obesity in US adults

    Open Access•Jin-Yu Sun, Wenjun Huang et al.•ARTICLE•Frontiers in Public Health•2022

    Aim This study investigates the trend in general obesity and abdominal obesity in US adults from 2001 to 2018. Methods We included 44,184 adults from the nine cycles of the continuous NHANES (2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018). The age-adjusted mean body mass index and waist circumference were calculated, and the sex-specific annual change was estimated by the survey cycle. We us…

  • Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis

    Open Access•Abdur Rasool, Chayut Bunterngchit et al.•ARTICLE•International Journal of…•2022

    Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer diagnosis. However, making an evaluation for models that efficiently diagnose cancer is still challenging. In this work, we proposed data exploratory techniques (DET) and developed four different predictive models to improve breast cancer diagnostic accuracy. Prior to models,…

  • Overexpression of Rack1 Promotes Metastasis by Enhancing Epithelial-Mesenchymal Transition and Predicts Poor Prognosis in Human Glioma

    Open Access•Qiao-Li Lv, Qiao‐Li Lv et al.•ARTICLE•International Journal of…•2016

    Emerging studies show that dysregulation of the receptor of activated protein kinase C1 (RACK1) plays a crucial role in tumorigenesis and progression of various cancers. However, the biological function and underlying mechanism of RACK1 in glioma remains poorly defined. Here, we found that RACK1 was significantly up-regulated in glioma tissues compared with normal brain tissues, being closely related to clinical stage of glioma both in mRNA and p…

  • Up-Regulation of Long Non-Coding RNA AB073614 Predicts a Poor Prognosis in Patients with Glioma

    Open Access•Lei Hu, Qiao-Li Lv et al.•ARTICLE•International Journal of…•2016

    Dysregulated long noncoding RNAs (lncRNAs) have been found in human diseases, especially in cancer. Emerging evidence indicates that dysregulated lncRNAs are implicated in tumorigenesis and cancer progression. LncRNA AB073614 characterized as a new candidate lncRNA promotes the development of ovarian cancer. However, the role of lncRNA AB073614 in human gliomas remains unknown. The expression of AB073614 was detected in 65 glioma tissues and 13 n…

  • Dose-response of oridonin on hepatic cytochromes P450 mRNA expression and activities in mice

    Open Access•Yiwen Zhang, Yi-Wen Zhang et al.•ARTICLE•Journal of Ethnopharmacology•2014

No prominent works on this page.

  • Dose-response of oridonin on hepatic cytochromes P450 mRNA expression and activities in mice

    Open Access•Yiwen Zhang, Yi-Wen Zhang et al.•ARTICLE•Journal of Ethnopharmacology•2014

  • Overexpression of Rack1 Promotes Metastasis by Enhancing Epithelial-Mesenchymal Transition and Predicts Poor Prognosis in Human Glioma

    Open Access•Qiao-Li Lv, Qiao‐Li Lv et al.•ARTICLE•International Journal of…•2016

    Emerging studies show that dysregulation of the receptor of activated protein kinase C1 (RACK1) plays a crucial role in tumorigenesis and progression of various cancers. However, the biological function and underlying mechanism of RACK1 in glioma remains poorly defined. Here, we found that RACK1 was significantly up-regulated in glioma tissues compared with normal brain tissues, being closely related to clinical stage of glioma both in mRNA and p…

  • Up-Regulation of Long Non-Coding RNA AB073614 Predicts a Poor Prognosis in Patients with Glioma

    Open Access•Lei Hu, Qiao-Li Lv et al.•ARTICLE•International Journal of…•2016

    Dysregulated long noncoding RNAs (lncRNAs) have been found in human diseases, especially in cancer. Emerging evidence indicates that dysregulated lncRNAs are implicated in tumorigenesis and cancer progression. LncRNA AB073614 characterized as a new candidate lncRNA promotes the development of ovarian cancer. However, the role of lncRNA AB073614 in human gliomas remains unknown. The expression of AB073614 was detected in 65 glioma tissues and 13 n…

  • Trends in general and abdominal obesity in US adults

    Open Access•Jin-Yu Sun, Wenjun Huang et al.•ARTICLE•Frontiers in Public Health•2022

    Aim This study investigates the trend in general obesity and abdominal obesity in US adults from 2001 to 2018. Methods We included 44,184 adults from the nine cycles of the continuous NHANES (2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018). The age-adjusted mean body mass index and waist circumference were calculated, and the sex-specific annual change was estimated by the survey cycle. We us…

  • Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis

    Open Access•Abdur Rasool, Chayut Bunterngchit et al.•ARTICLE•International Journal of…•2022

    Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer diagnosis. However, making an evaluation for models that efficiently diagnose cancer is still challenging. In this work, we proposed data exploratory techniques (DET) and developed four different predictive models to improve breast cancer diagnostic accuracy. Prior to models,…

  • STAE-BiSSSM

    Open Access•Duoliang Liu, D D Liu et al.•ARTICLE•ISPRS International Journal of…•2025

    Traffic flow forecasting plays a significant role in intelligent transportation systems (ITSs) and is instructive for traffic planning, management and control. Increasingly complex traffic conditions pose further challenges to the traffic flow forecasting. While improving the accuracy of model forecasting, the parameter effectiveness of the model is also an issue that cannot be ignored. In addition, existing traffic prediction models have failed …

Biology (3 works) · Cancer (3 works) · Internal Medicine (3 works) · Medicine (3 works) · Cancer Research (2 works) · Carcinogenesis (2 works) · Gene (2 works) · Genetics (2 works) · Glioma (2 works) · Abdominal obesity (1 work)

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