Xiaoning Zheng

1.1k total citations · 1 hit paper
21 papers, 682 citations indexed

About

Xiaoning Zheng is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoning Zheng has authored 21 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 5 papers in Statistical and Nonlinear Physics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoning Zheng's work include Model Reduction and Neural Networks (5 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Heat Transfer (3 papers). Xiaoning Zheng is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Heat Transfer (3 papers). Xiaoning Zheng collaborates with scholars based in United States, China and United Kingdom. Xiaoning Zheng's co-authors include George Em Karniadakis, Jay D. Humphrey, Minglang Yin, Fangying Song, Wei Cai, Mamikon Gulian, Mark M. Meerschaert, Guofei Pang, Christian Glusa and Anna Lischke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Hazardous Materials.

In The Last Decade

Xiaoning Zheng

20 papers receiving 664 citations

Hit Papers

What is the fractional La... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoning Zheng United States 10 220 184 153 91 76 21 682
Yingjie Liang China 18 232 1.1× 469 2.5× 59 0.4× 107 1.2× 79 1.0× 74 1000
A. Elsaid Egypt 17 310 1.4× 370 2.0× 110 0.7× 212 2.3× 89 1.2× 90 911
J.‐V. Romero Spain 14 89 0.4× 107 0.6× 232 1.5× 50 0.5× 38 0.5× 61 699
Riccardo Fazio Italy 16 90 0.4× 172 0.9× 282 1.8× 255 2.8× 54 0.7× 70 626
Stephen F. Becker United States 2 170 0.8× 118 0.6× 88 0.6× 114 1.3× 32 0.4× 4 653
Kristoffer G. van der Zee United Kingdom 16 101 0.5× 162 0.9× 709 4.6× 140 1.5× 48 0.6× 40 1.1k
Scott A. Sarra United States 13 119 0.5× 218 1.2× 388 2.5× 191 2.1× 53 0.7× 26 917
Shaoqiang Tang China 21 242 1.1× 185 1.0× 346 2.3× 202 2.2× 163 2.1× 103 1.4k
Mazen Saad France 15 58 0.3× 157 0.9× 569 3.7× 71 0.8× 205 2.7× 69 956
Alfa Heryudono United States 12 89 0.4× 83 0.5× 299 2.0× 113 1.2× 18 0.2× 23 676

Countries citing papers authored by Xiaoning Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoning Zheng. A scholar is included among the top collaborators of Xiaoning Zheng 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 Xiaoning Zheng. Xiaoning Zheng 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.
Zhong, Cheng, Supaluck Kraithong, Ze‐Guang Han, et al.. (2025). Insights into a novel exopolysaccharide from Mariana Trench-derived Aspergillus versicolor SCAU214: Structure and immune activity. International Journal of Biological Macromolecules. 308(Pt 3). 142660–142660. 1 indexed citations
2.
Chen, Xinye, Yizhuo Wang, Xinyu Liao, et al.. (2024). Significant correlations between heavy metals and prokaryotes in the Okinawa Trough hydrothermal sediments. Journal of Hazardous Materials. 479. 135657–135657. 6 indexed citations
3.
Li, He, et al.. (2024). A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth. Engineering With Computers. 41(1). 423–533. 4 indexed citations
4.
Qian, Ying, Ge Zhu, Zhen Zhang, et al.. (2024). Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. Neural Networks. 180. 106732–106732. 6 indexed citations
5.
Zhang, Xiaoyong, Xinye Chen, Zhuolin Liu, et al.. (2024). Microbial colonization of microplastic (MP) in aquatic environments: MP toxicity, microbial degradation potential and their interactions. TrAC Trends in Analytical Chemistry. 181. 118028–118028. 5 indexed citations
6.
Liao, Xinyu, Xinye Chen, Xiaoning Zheng, et al.. (2024). Biodiversity and antifouling activity of microbes associated with gorgonian corals Leptogorgia rigida and Menella kanisa from the South China Sea. Marine Environmental Research. 202. 106783–106783.
7.
Stevens, Kimberly A., Shengze Cai, Antonio Ladrón-de-Guevara, et al.. (2023). Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows. Proceedings of the National Academy of Sciences. 120(14). e2217744120–e2217744120. 40 indexed citations
8.
Ye, Qi, et al.. (2023). TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling. Engineering Applications of Artificial Intelligence. 126. 106867–106867. 10 indexed citations
9.
Wang, Zhi‐Cheng, Xiaoning Zheng, Chryssostomos Chryssostomidis, & George Em Karniadakis. (2021). A phase-field method for boiling heat transfer. Journal of Computational Physics. 435. 110239–110239. 29 indexed citations
10.
Kharazmi, Ehsan, Min Cai, Xiaoning Zheng, et al.. (2021). Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature Computational Science. 1(11). 744–753. 83 indexed citations
11.
Sampani, Konstantina, He Li, Xiaoning Zheng, et al.. (2020). Computational fluid dynamics (CFD) estimation of thrombus formation in diabetic retinal microaneurysms (MAs). Investigative Ophthalmology & Visual Science. 61(7). 5023–5023. 1 indexed citations
12.
Yin, Minglang, Xiaoning Zheng, Jay D. Humphrey, & George Em Karniadakis. (2020). Non-invasive inference of thrombus material properties with physics-informed neural networks. Computer Methods in Applied Mechanics and Engineering. 375. 113603–113603. 130 indexed citations
13.
Zheng, Xiaoning, et al.. (2020). An open-source parallel code for computing the spectral fractional Laplacian on 3D complex geometry domains. Computer Physics Communications. 261. 107695–107695. 1 indexed citations
14.
Zheng, Xiaoning, Alireza Yazdani, He Li, Jay D. Humphrey, & George Em Karniadakis. (2020). A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels. PLoS Computational Biology. 16(4). e1007709–e1007709. 50 indexed citations
15.
Yin, Minglang, Xiaoning Zheng, Jay D. Humphrey, & George Em Karniadakis. (2020). Non-invasive Inference of Thrombus Material Properties with Physics-informed Neural Networks. arXiv (Cornell University). 2 indexed citations
16.
Wang, Zhi‐Cheng, Xiaoning Zheng, & George Em Karniadakis. (2020). A Phase Field Method for Numerical Simulation of Boiling Heat Transfer. 3 indexed citations
17.
Li, He, Konstantina Sampani, Xiaoning Zheng, et al.. (2020). Predictive modelling of thrombus formation in diabetic retinal microaneurysms. Royal Society Open Science. 7(8). 201102–201102. 22 indexed citations
18.
Wang, Ning, et al.. (2018). Oxidation decomposition of toluene waste gas by catalyst in microwave field. JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING. 35(6). 582–582. 1 indexed citations
19.
Xie, Fangfang, Xiaoning Zheng, Michael S. Triantafyllou, et al.. (2017). Direct numerical simulations of two-phase flow in an inclined pipe. Journal of Fluid Mechanics. 825. 189–207. 24 indexed citations
20.
Xin, Yan Ping, Jia Liu, & Xiaoning Zheng. (2011). A Cross‐Cultural Lesson Comparison on Teaching the Connection Between Multiplication and Division. School Science and Mathematics. 111(7). 354–367. 9 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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