Youjun Liu

492 total citations
32 papers, 335 citations indexed

About

Youjun Liu is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Youjun Liu has authored 32 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Cardiology and Cardiovascular Medicine and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Youjun Liu's work include Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (12 papers). Youjun Liu is often cited by papers focused on Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (12 papers). Youjun Liu collaborates with scholars based in China, Australia and United Kingdom. Youjun Liu's co-authors include Aike Qiao, Hitomi Anzai, Gaoyang Li, Mingzi Zhang, Bao Li, Simon Tupin, Haoran Wang, Makoto Ohta, Liyuan Zhang and Yili Feng and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Biomechanics and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Youjun Liu

29 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youjun Liu China 10 138 112 81 48 41 32 335
Sansuke M. Watanabe Brazil 9 218 1.6× 110 1.0× 62 0.8× 57 1.2× 6 0.1× 10 338
Marina Strocchi United Kingdom 13 501 3.6× 47 0.4× 64 0.8× 132 2.8× 29 0.7× 56 627
Angela Lee United Kingdom 16 448 3.2× 76 0.7× 129 1.6× 91 1.9× 8 0.2× 38 632
Christopher Villongco United States 9 338 2.4× 64 0.6× 62 0.8× 140 2.9× 11 0.3× 17 420
E. Belardinelli Italy 10 173 1.3× 80 0.7× 36 0.4× 94 2.0× 16 0.4× 21 297
Jacob Sturdy Norway 8 213 1.5× 158 1.4× 100 1.2× 66 1.4× 22 0.5× 16 356
Orod Razeghi United Kingdom 16 573 4.2× 50 0.4× 162 2.0× 97 2.0× 19 0.5× 38 691
Takashi Ashihara Japan 22 1.0k 7.3× 62 0.6× 66 0.8× 103 2.1× 40 1.0× 77 1.3k
Robert Blake United States 8 835 6.1× 53 0.5× 155 1.9× 156 3.3× 26 0.6× 19 999
Vicky Y. Wang United States 12 392 2.8× 136 1.2× 122 1.5× 254 5.3× 22 0.5× 36 605

Countries citing papers authored by Youjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Youjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youjun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Youjun Liu. A scholar is included among the top collaborators of Youjun Liu 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 Youjun Liu. Youjun Liu 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.
2.
Li, Bao, et al.. (2024). A comprehensive approach to prediction of fractional flow reserve from deep-learning-augmented model. Computers in Biology and Medicine. 169. 107967–107967. 9 indexed citations
3.
Liu, Youjun, Jincheng Liu, Hao Sun, et al.. (2024). Noninvasive and fast method of calculation for instantaneous wave-free ratio based on haemodynamics and deep learning. Computer Methods and Programs in Biomedicine. 255. 108355–108355.
4.
Zhang, Xuelan, Mingyao Luo, Aike Qiao, et al.. (2023). Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology. Computers in Biology and Medicine. 164. 107287–107287. 38 indexed citations
5.
Sun, Hao, Bao Li, Jincheng Liu, et al.. (2023). Real-time model-based cerebral perfusion calculation for ischemic stroke. Computer Methods and Programs in Biomedicine. 243. 107916–107916. 5 indexed citations
6.
Jiang, Chao Qiang, Zhe Chen, Xiaohui Wang, et al.. (2023). Curcumin-activated Olfactory Ensheathing Cells Improve Functional Recovery After Spinal Cord Injury by Modulating Microglia Polarization Through APOE/TREM2/NF-κB Signaling Pathway. Journal of Neuroimmune Pharmacology. 18(3). 476–494. 23 indexed citations
7.
Liu, Jincheng, Bao Li, Yanping Zhang, et al.. (2023). A high-fidelity geometric multiscale hemodynamic model for predicting myocardial ischemia. Computer Methods and Programs in Biomedicine. 233. 107476–107476. 6 indexed citations
8.
Feng, Yili, et al.. (2023). A simplified coronary model for diagnosis of ischemia-causing coronary stenosis. Computer Methods and Programs in Biomedicine. 242. 107862–107862. 2 indexed citations
9.
Feng, Yili, Hao Sun, Xue Wang, et al.. (2023). Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance. Artificial Intelligence in Medicine. 147. 102744–102744. 7 indexed citations
10.
Jiang, Ximiao, et al.. (2023). Epileptic seizures detection and the analysis of optimal seizure prediction horizon based on frequency and phase analysis. Frontiers in Neuroscience. 17. 1191683–1191683. 19 indexed citations
11.
Jiang, Chao, et al.. (2023). microRNA‐365 attenuated intervertebral disc degeneration through modulating nucleus pulposus cell apoptosis and extracellular matrix degradation by targeting EFNA3. Journal of Cellular and Molecular Medicine. 28(2). e18054–e18054. 6 indexed citations
12.
Liu, Jincheng, Youjun Liu, Xi Zhao, et al.. (2022). Reliability of using generic flow conditions to quantify aneurysmal haemodynamics: A comparison against simulations incorporating boundary conditions measured in vivo. Computer Methods and Programs in Biomedicine. 225. 107034–107034. 9 indexed citations
13.
Liu, Jincheng, Xue Wang, Bao Li, et al.. (2022). Non-Invasive Quantification of Fraction Flow Reserve Based on Steady-State Geometric Multiscale Models. Frontiers in Physiology. 13. 881826–881826. 7 indexed citations
14.
Li, Na, Bao Li, Jincheng Liu, et al.. (2022). The quantitative relationship between coronary microcirculatory resistance and myocardial ischemia in patients with coronary artery disease. Journal of Biomechanics. 140. 111166–111166. 5 indexed citations
15.
Wu, Dandan, Gaoyang Li, Xiaorui Song, et al.. (2022). A machine learning strategy for fast prediction of cardiac function based on peripheral pulse wave. Computer Methods and Programs in Biomedicine. 216. 106664–106664. 18 indexed citations
16.
Li, Na, et al.. (2022). Impact of coronary bifurcated vessels flow-diameter scaling laws on fractional flow reserve based on computed tomography images (FFRCT). Mathematical Biosciences & Engineering. 19(3). 3127–3146. 2 indexed citations
17.
Li, Gaoyang, Haoran Wang, Mingzi Zhang, et al.. (2021). Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning. Communications Biology. 4(1). 99–99. 83 indexed citations
18.
Liu, Jincheng, et al.. (2021). Closed-loop geometric multi-scale heart-coronary artery model for the numerical calculation of fractional flow reserve. Computer Methods and Programs in Biomedicine. 208. 106266–106266. 13 indexed citations
19.
Zhai, Fei, et al.. (2014). Comparative experiments on phantom andex vivoliver tissue in microwave ablation. Electromagnetic Biology and Medicine. 34(1). 29–36. 2 indexed citations
20.
Liu, Youjun, et al.. (2006). A Method for Recognition of Spectrum Peaks in 2-D MUSIC Algorithm. 1. 704–707. 3 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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