Qingyuan He

626 total citations
39 papers, 437 citations indexed

About

Qingyuan He is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qingyuan He has authored 39 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qingyuan He's work include Advanced MRI Techniques and Applications (11 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). Qingyuan He is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). Qingyuan He collaborates with scholars based in China, United States and Germany. Qingyuan He's co-authors include Hongbin Han, Yongqian Xu, Shiguo Sun, Kejia Lee, Hongjuan Li, Xiaopeng Fan, Yuxin Pei, Chunyan Shi, Yu Fu and Junhao Yan and has published in prestigious journals such as Chemical Communications, Scientific Reports and Nanoscale.

In The Last Decade

Qingyuan He

33 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyuan He China 13 128 117 103 84 66 39 437
Ernst Suidgeest Netherlands 15 232 1.8× 74 0.6× 73 0.7× 48 0.6× 29 0.4× 27 575
Randy L. Tyson Canada 14 99 0.8× 125 1.1× 92 0.9× 77 0.9× 23 0.3× 22 409
Hiroki Nakashima Japan 14 130 1.0× 44 0.4× 76 0.7× 56 0.7× 35 0.5× 39 734
Luis F. Gomez United States 10 189 1.5× 214 1.8× 128 1.2× 153 1.8× 39 0.6× 17 922
Nicolas J. Guehl United States 13 110 0.9× 208 1.8× 102 1.0× 73 0.9× 45 0.7× 48 570
Palamadai N. Venkatasubramanian United States 15 169 1.3× 224 1.9× 63 0.6× 82 1.0× 96 1.5× 37 731
М. V. Gulyaev Russia 14 248 1.9× 93 0.8× 52 0.5× 29 0.3× 73 1.1× 74 597
Vera C. Keil Germany 15 77 0.6× 341 2.9× 64 0.6× 100 1.2× 56 0.8× 56 656
Jack J.A. van Asten Netherlands 19 210 1.6× 397 3.4× 110 1.1× 58 0.7× 55 0.8× 35 799
Zhuozhi Dai China 17 86 0.7× 357 3.1× 103 1.0× 93 1.1× 189 2.9× 43 697

Countries citing papers authored by Qingyuan He

Since Specialization
Citations

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

Fields of papers citing papers by Qingyuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyuan He

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyuan He. A scholar is included among the top collaborators of Qingyuan He 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 Qingyuan He. Qingyuan He 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.
He, Qingyuan, et al.. (2025). Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques. Magnetic Resonance Materials in Physics Biology and Medicine. 38(2). 253–269.
2.
He, Qingyuan, et al.. (2025). State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination. 551–555. 4 indexed citations
3.
He, Qingyuan, et al.. (2025). A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data. 833–837. 2 indexed citations
4.
5.
He, Qingyuan, et al.. (2024). Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources. Magnetic Resonance Materials in Physics Biology and Medicine. 37(6). 1091–1104. 3 indexed citations
6.
Gao, Yajuan, Jiabin Lu, Liu Yang, et al.. (2024). Dynamic changes in brain glymphatic function during preoperative chemotherapy in breast cancer patients. Journal of Cancer Research and Therapeutics. 20(4). 1306–1313. 2 indexed citations
7.
Wang, Zheng, et al.. (2023). Optimization design of a permanent magnet used for a low field (0.2 T) movable MRI system. Magnetic Resonance Materials in Physics Biology and Medicine. 36(3). 409–418. 6 indexed citations
8.
He, Qingyuan, et al.. (2023). Children’s Dental Fear: Occurrence Mechanism and Prevention Guidance. Journal of Multidisciplinary Healthcare. Volume 16. 2013–2021. 4 indexed citations
9.
He, Qingyuan, et al.. (2023). Association between thyroid function and diabetes peripheral neuropathy in euthyroid type 2 diabetes mellitus patients. Scientific Reports. 13(1). 13499–13499. 6 indexed citations
10.
Dang, Hui, et al.. (2023). Pin1 inhibitor API-1 sensitizes BRAF-mutant thyroid cancers to BRAF inhibitors by attenuating HER3-mediated feedback activation of MAPK/ERK and PI3K/AKT pathways. International Journal of Biological Macromolecules. 248. 125867–125867. 8 indexed citations
11.
12.
Gao, Yajuan, Hongbin Han, Jichen Du, et al.. (2021). Early changes to the extracellular space in the hippocampus under simulated microgravity conditions. Science China Life Sciences. 65(3). 604–617. 17 indexed citations
13.
Wang, Wei, et al.. (2019). Stimulation Modeling on Three-Dimensional Anisotropic Diffusion of MRI Tracer in the Brain Interstitial Space. Frontiers in Neuroinformatics. 13. 6–6. 6 indexed citations
14.
Wang, Rui, Dehua Cui, Xinrui Huang, et al.. (2018). The Drainage of Interstitial Fluid in the Deep Brain is Controlled by the Integrity of Myelination. Aging and Disease. 10(5). 937–937. 36 indexed citations
15.
Liu, Lanxiang, Dan Du, Tao Zheng, et al.. (2017). Detecting dopaminergic neuronal degeneration using diffusion tensor imaging in a rotenone-induced rat model of Parkinson's disease: fractional anisotropy and mean diffusivity values. Neural Regeneration Research. 12(9). 1485–1485. 12 indexed citations
16.
Han, Jintao, Xuan Li, Qingyuan He, et al.. (2016). [Endovascular treatment in cerebral artery tandem lesions].. PubMed. 48(1). 149–53. 1 indexed citations
17.
Han, Jintao, Haiyan Zhao, Xuan Li, et al.. (2015). [Related factors of hemodynamic damage after carotid artery stenting].. PubMed. 47(5). 804–8. 3 indexed citations
18.
Han, Jintao, et al.. (2014). The three-dimensional shape analysis of the M1 segment of the middle cerebral artery using MRA at 3T. Neuroradiology. 56(11). 995–1005. 13 indexed citations
19.
Li, Kai, Hongbin Han, Kai Zhu, et al.. (2013). Real-time magnetic resonance imaging visualization and quantitative assessment of diffusion in the cerebral extracellular space of C6 glioma-bearing rats. Neuroscience Letters. 543. 84–89. 28 indexed citations
20.
He, Qingyuan, Hongbin Han, Lan Yuan, et al.. (2013). [Quantitative calculation of drugs distribution parameter in the brain extracellular space by using MRI tracer].. PubMed. 45(3). 469–73. 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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