SELECTED PUBLICATIONS
(*: These authors contributed equally to this work, #:corresponding author)
Google scholar website:https://scholar.google.com/citations?user=rXW31d8AAAAJ&hl=zh-CN
Scholarmate website: https://www.scholarmate.com/dynweb/main?locale=zh_CN
ORCID website: https://orcid.org/0009-0009-8786-3063
1. Y.Qian, G.Zhu, Z.Zhang, S.Modepalli, Y.Zheng, X.Zheng, G. Frydman , H. Li*, Coagulo-Net: Enhancing the
mathematical modeling of blood coagulation using physics-informed neural networks, Neural Networks (IF:9.6), 180(106732), 2024.
https://doi.org/10.1016/j.neunet.2024.106732 (doi: 10.1016/j.neunet.2024.106732)
2. Q. Chen, H.Li, X. Zheng#, A Deep Neural Network for Operator Learning Enhanced by Attention and Gating
Mechanisms for Long-time Forecasting of Tumor Growth, Engineering with Computers (IF: 8.0), 1-111, 2024.
3. Q. Chen, Q.Ye, W.Zhang, H.Li, X. Zheng#, TGM-Nets: A Deep Learning framework for enhanced forecasting
of tumor growth by integrating imaging and Modeling, Engineering Applications of Artificial Intelligence (IF: 7.8), 126, 106867, 2023.
4. K.Boster,S.Cai,A.Guevara,J.Sun,X.Zheng,M.Nedergaard,D.Kelley, G.E.Karniadakis, Artificial Intelligence velocimetry reveals invivo pressure gradients in brain cerebrospinal fluid,120(14),e2217744120, ProceedingsoftheNational Academyof Sciences (IF:11.2), 2022.
5. E.Kharazmi.,M.Cai,X.Zheng,Z.Zhang,G.Lin,G.E.Karniadakis,Identifiability and predictability of integer-and fractional-order epidemiological models using physics-informed neural networks, Nature Computational Science (IF:12.0),1(11), 744-753, 2021.
6. X.Zheng,Z.Wang,M.S.Triantafyllou,G.E.Karniadakis,Fluid-elastic instability of a horizontal flexible pipe conveying two-phaseflow, International Journal of Multiphase Flow (IF:3.6), 141, 103667, 2021.
7. Z.Wang,X.Zheng,C.Chryssostomidis,G.E.Karniadakis,Aphase-field
method for boilingheat transfer,Journal of Computational Physics (IF:3.8), 435, 110239, 2021.
8. M.Yin,X.Zheng,J.D.Humphrey,G.E.Karniadakis,Non-invasive inference of thrombus material properties with physics-informed neural networks,Computer Methods in Applied Engineering and Mechanics (IF:6.5), 375, 113603, 2021.
9. M. Carlson*, X. Zheng*,H. Sundar, M. Kirby, G.E. Karniadakis, An open-source parallel code for computingthe fractional Laplacian on 3D complex-geometry domains,261, 107695, Computer Physics Communications (IF:7.2), 2021.
10. H.Li*,K.Sampani*,X.Zheng*,D.P.Papageorgiou,A.Yazdani,M.O.Bernabeu,G.E.Karniadakis,J.K.Sun,Predictive modeling of thrombus formation in diabetic retinal microaneurysms,Journal of the Royal Society
Interface (IF:4.3), 7(8), 201102, 2020.
11. Konstantina Sampani, He Li, Xiaoning Zheng, Dimitrios Papageorgiou, Miguel Oscar Bernabeu, Ward Fickweiler, Lloyd Paul Aiello, George Karniadakis, Jennifer K Sun,Computational fluid dynamics (CFD) estimation of thrombus formation in diabetic retinal microaneurysms (MAs),Investigative Ophthalmology & Visual Science, 61(7), 5023-5023，2020.
12. X. Zheng,A. Yazdani, H.Li,J.D. Humphrey, G.E. Karniadakis, A 3D phase-field
model for multiscale simulation ofthe interaction between blood and thrombus in arterial vessels, PLoS Computational Biology (IF:3.8), 16,e1007709,2020.
13. A.Lischke,G. Pang, M.Gulian, F.Song, C. Glusa,X. Zheng,Z.Mao, W. Cai,
M. Ainsworth, G. E. Karniadakis. What isthe fractionalLaplacian?A comparativereviewwith newresults. Journal of Computational Physics (IF:3.8), 404, 109009, 2020.
14. F.Xie,X.Zheng,M.S.Triantafyllou,Y.Constantinides,Y.Zheng,G.E. Karniadakis.DNSoftwo-phaseflowinaninclinedpipe.Journal of Fluid Mechanics (IF:3.6), 825,189-207, 2017.
15. X. Zheng, G. E.Karniadakis. A phase-field/ALEmethod for simulatingfluid-
structureinteractions intwo-phaseflow. Computer Methods in Applied Engineering
and Mechanics (IF:6.5), 309, 19-40,2016.
16. F.Xie, X.Zheng, M. S.Triantafyllou, Y. Constantinides, G.E. Karniadakis, The
flowdynamics of thegarden-hoseinstability. Journal of Fluid Mechanics (IF:3.6),800, 595-612, 2016.
17. X. Zheng, H. Babaee, S. Dong,C. Chryssostomidis, G. E. Karniadakis. A Phase-
Field Methodfor3DSimulation ofTwo-PhaseHeatTransfer.International Journal
of Heat and Mass Transfer (IF:5.2), 82,282-298, 2015.
18. Dong, S., & X. Zheng. Direct numerical simulation of spiral turbulence.
Journal of fluid mechanics (IF:3.6), 668, 150-173,2011.
19. X. Zheng., & Dong, S. An eigen-based high-order expansion basis for
structured spectral elements. Journal of Computational Physics (IF:3.8), 230(23), 8573-8602,2011.
20. Xin, Y. P., Liu, J., & X. Zheng. A cross‐cultural lesson comparison on teaching the
connection between multiplication and division. School Science and Mathematics, 111(7), 354-367,2011.