Deqiang Qiu
About
Deqiang Qiu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health.
According to data from OpenAlex, Deqiang Qiu has authored 85 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Cognitive Neuroscience and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Deqiang Qiu's work include Advanced Neuroimaging Techniques and Applications (33 papers), Advanced MRI Techniques and Applications (31 papers) and Functional Brain Connectivity Studies (20 papers). Deqiang Qiu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (33 papers), Advanced MRI Techniques and Applications (31 papers) and Functional Brain Connectivity Studies (20 papers). Deqiang Qiu collaborates with scholars based in United States, Hong Kong and China. Deqiang Qiu's co-authors include Pek‐Lan Khong, Junjie Wu, Michael E. Moseley, Lucullus H.T. Leung, Ihab Hajjar, Ke Zhou, Li‐Hai Tan, Ganesh B. Chand, Greg Zaharchuk and Wendy W. Ni and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.
In The Last Decade
Deqiang Qiu
83 papers receiving 2.6k citations
Peers
Deqiang Qiu
Jonathan D. Clayden United Kingdom
Nathan S. White United States
Maria Vittoria Spampinato United States
Jay J. Pillai United States
Hidemasa Takao Japan
Henk Mutsaerts Netherlands
Francesca B. Pizzini Italy
Alina Jurcoane Germany
Wim Van Hecke Belgium
Yoshiyuki Watanabe Japan
Citations per year, relative to Deqiang Qiu Deqiang Qiu (= 1×)
peers
Jonathan D. Clayden
Countries citing papers authored by Deqiang Qiu
Since
Specialization
Citations
This map shows the geographic impact of Deqiang Qiu'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 Deqiang Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqiang Qiu more than expected).
Fields of papers citing papers by Deqiang Qiu
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Deqiang Qiu. 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 Deqiang Qiu. The network helps show where Deqiang Qiu may publish in the future.
Co-authorship network of co-authors of Deqiang Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Deqiang Qiu. A scholar is included among the top collaborators of Deqiang Qiu 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 Deqiang Qiu. Deqiang Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Yu, Shaojun, et al.. (2024). A novel classification framework for genome-wide association study of whole brain MRI images using deep learning. PLoS Computational Biology. 20(10). e1012527–e1012527.
2.
Kaestner, Erik, Alena Stasenko, Rebecca Roth, et al.. (2024). Impact of white matter networks on risk for memory decline following resection versus ablation in temporal lobe epilepsy. Journal of Neurology Neurosurgery & Psychiatry. 95(7). 663–670.
3.
Huang, Shuai, James J. Lah, Jason W. Allen, & Deqiang Qiu. (2024). Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation. Magnetic Resonance in Medicine. 93(2). 563–583.
4.
Shen, Jia, et al.. (2023). Concentric Tube Robot Redundancy Resolution via Velocity/Compliance Manipulability Optimization. IEEE Robotics and Automation Letters. 8(11). 7495–7502.
5.
He, Xingqiang, Jun Li, Yuewei Wang, et al.. (2022). Profiling of the full-length transcriptome in abdominal aortic aneurysm using nanopore-based direct RNA sequencing. Open Biology. 12(2). 210172–210172.
6.
Hone‐Blanchet, Antoine, Lisa C. Krishnamurthy, Syed Salman Shahid, et al.. (2021). Relationships between frontal metabolites and Alzheimer's disease biomarkers in cognitively normal older adults. Neurobiology of Aging. 109. 22–30.
7.
Risk, Benjamin B., Junjie Wu, Mary Beth Nebel, et al.. (2021). Which multiband factor should you choose for your resting-state fMRI study?. NeuroImage. 234. 117965–117965.
8.
Misiura, Maria, J. Christina Howell, Junjie Wu, et al.. (2020). Race modifies default mode connectivity in Alzheimer’s disease. Translational Neurodegeneration. 9(1). 8–8.
9.
Saindane, Amit M., Deqiang Qiu, John N. Oshinski, et al.. (2017). Noninvasive Assessment of Intracranial Pressure Status in Idiopathic Intracranial Hypertension Using Displacement Encoding with Stimulated Echoes (DENSE) MRI: A Prospective Patient Study with Contemporaneous CSF Pressure Correlation. American Journal of Neuroradiology. 39(2). 311–316.
10.
Chand, Ganesh B., Junjie Wu, Ihab Hajjar, & Deqiang Qiu. (2017). Interactions of the Salience Network and Its Subsystems with the Default-Mode and the Central-Executive Networks in Normal Aging and Mild Cognitive Impairment. Brain Connectivity. 7(7). 401–412.
11.
Chand, Ganesh B., Junjie Wu, Ihab Hajjar, & Deqiang Qiu. (2017). Interactions of Insula Subdivisions-Based Networks with Default-Mode and Central-Executive Networks in Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 9. 367–367.
12.
Wu, Junjie, Seena Dehkharghani, Fadi Nahab, & Deqiang Qiu. (2016). Acetazolamide-augmented dynamic BOLD (aczBOLD) imaging for assessing cerebrovascular reactivity in chronic steno-occlusive disease of the anterior circulation: An initial experience. NeuroImage Clinical. 13. 116–122.
13.
Dehkharghani, Seena, Roland Bammer, Matús Straka, et al.. (2015). Performance and Predictive Value of a User-Independent Platform for CT Perfusion Analysis: Threshold-Derived Automated Systems Outperform Examiner-Driven Approaches in Outcome Prediction of Acute Ischemic Stroke. American Journal of Neuroradiology. 36(8). 1419–1425.
14.
Dehkharghani, Seena, X. Zhang, Frank Tong, et al.. (2015). Proton Resonance Frequency Chemical Shift Thermometry: Experimental Design and Validation toward High-Resolution Noninvasive Temperature Monitoring and In Vivo Experience in a Nonhuman Primate Model of Acute Ischemic Stroke. American Journal of Neuroradiology. 36(6). 1128–1135.
15.
Klenk, Christopher, Rakhee Gawande, Lebriz Uslu, et al.. (2014). Ionising radiation-free whole-body MRI versus 18F-fluorodeoxyglucose PET/CT scans for children and young adults with cancer: a prospective, non-randomised, single-centre study. The Lancet Oncology. 15(3). 275–285.
16.
Kokabi, Nima, Juan C. Camacho, Minzhi Xing, et al.. (2014). Apparent diffusion coefficient quantification as an early imaging biomarker of response and predictor of survival following yttrium-90 radioembolization for unresectable infiltrative hepatocellular carcinoma with portal vein thrombosis. Abdominal Imaging. 39(5). 969–978.
17.
Balchandani, Priti & Deqiang Qiu. (2014). Semi-adiabatic Shinnar–Le Roux pulses and their application to diffusion tensor imaging of humans at 7T. Magnetic Resonance Imaging. 32(7). 804–812.
18.
Wang, Silun, Deqiang Qiu, Kwok‐Fai So, et al.. (2013). Radiation induced brain injury: assessment of white matter tracts in a pre-clinical animal model using diffusion tensor MR imaging. Journal of Neuro-Oncology. 112(1). 9–15.
19.
Qiu, Deqiang, Li‐Hai Tan, Wai Ting Siok, Ke Zhou, & Pek‐Lan Khong. (2011). Lateralization of the arcuate fasciculus and its differential correlation with reading ability between young learners and experienced readers: A diffusion tensor tractography study in a chinese cohort. Human Brain Mapping. 32(12). 2054–2063.
20.
Qiu, Deqiang, Li‐Hai Tan, Ke Zhou, & Pek‐Lan Khong. (2008). Diffusion tensor imaging of normal white matter maturation from late childhood to young adulthood: Voxel-wise evaluation of mean diffusivity, fractional anisotropy, radial and axial diffusivities, and correlation with reading development. NeuroImage. 41(2). 223–232.
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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