Xinhai Chen

1.2k total citations
53 papers, 786 citations indexed

About

Xinhai Chen is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Xinhai Chen has authored 53 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 17 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. Recurrent topics in Xinhai Chen's work include Model Reduction and Neural Networks (17 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Computer Graphics and Visualization Techniques (8 papers). Xinhai Chen is often cited by papers focused on Model Reduction and Neural Networks (17 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Computer Graphics and Visualization Techniques (8 papers). Xinhai Chen collaborates with scholars based in China, United States and Saudi Arabia. Xinhai Chen's co-authors include Edwin Vedējs, Jie Liu, Chunye Gong, Qian Wan, Liang Deng, Qinglin Wang, Shengguo Li, Luona Wei, Jie Chen and Jie Liu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xinhai Chen

49 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhai Chen China 13 335 177 152 131 117 53 786
Muhammad Imran Pakistan 32 1.2k 3.7× 64 0.4× 67 0.4× 126 1.0× 88 0.8× 235 3.4k
R. Albrecht Germany 16 453 1.4× 178 1.0× 46 0.3× 14 0.1× 49 0.4× 54 1.1k
Muhammad Kamran Jamil Pakistan 27 443 1.3× 58 0.3× 31 0.2× 166 1.3× 521 4.5× 143 2.3k
Muhammad Faisal Nadeem Pakistan 24 334 1.0× 18 0.1× 42 0.3× 95 0.7× 106 0.9× 121 1.5k
John E. Cochran United States 20 272 0.8× 93 0.5× 30 0.2× 77 0.6× 61 0.5× 80 1.1k
Youming Wang China 24 959 2.9× 170 1.0× 202 1.3× 9 0.1× 20 0.2× 86 1.5k
Richard S. Roberts Spain 16 410 1.2× 306 1.7× 62 0.4× 6 0.0× 48 0.4× 43 876
Abdul Qudair Baig Pakistan 18 368 1.1× 40 0.2× 22 0.1× 62 0.5× 5 0.0× 80 1.2k
Hua Yuan China 19 170 0.5× 156 0.9× 12 0.1× 42 0.3× 11 0.1× 94 1.1k

Countries citing papers authored by Xinhai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xinhai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhai Chen. A scholar is included among the top collaborators of Xinhai Chen 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 Xinhai Chen. Xinhai Chen 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.
Chen, Xinhai, et al.. (2025). FE-PIRBN: Feature-enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems. Journal of Computational Physics. 527. 113798–113798. 2 indexed citations
3.
Chen, Xinhai, et al.. (2025). An intelligent mesh-smoothing method with graph neural networks. Frontiers of Information Technology & Electronic Engineering. 26(3). 367–384.
4.
Chen, Xinhai, et al.. (2025). 3DMeshNet: A three-dimensional differential neural network for structured mesh generation. Graphical Models. 139. 101257–101257. 1 indexed citations
5.
Zhang, Qingyang, Kai Lu, Zhengzheng Yan, et al.. (2025). Towards Megacity-Scale Wind Flow Simulations on Many-Core CPU-Accelerator Systems. SIAM Journal on Scientific Computing. 47(2). B402–B427. 1 indexed citations
6.
Deng, Liang, et al.. (2024). A generative adversarial network based on an efficient transformer for high-fidelity flow field reconstruction. Physics of Fluids. 36(7). 1 indexed citations
7.
8.
Chen, Xinhai, et al.. (2024). A data-free Kolmogorov–Arnold Network-based method for structured mesh generation. Physics of Fluids. 36(11).
9.
Chen, Xinhai, et al.. (2024). MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. ACM Transactions on Architecture and Code Optimization. 21(4). 1–22. 1 indexed citations
10.
Chen, Xinhai, et al.. (2024). ImPINN: Improved Physics-informed neural networks for solving inverse problems. 189–198. 1 indexed citations
11.
Chen, Xinhai, et al.. (2024). MH-DCNet: An improved flow field prediction framework coupling neural network with physics solver. Computers & Fluids. 284. 106440–106440. 1 indexed citations
12.
Chen, Xinhai, Jie Liu, Qingyang Zhang, et al.. (2023). Developing a novel structured mesh generation method based on deep neural networks. Physics of Fluids. 35(9). 10 indexed citations
13.
Chen, Xinhai, et al.. (2023). Developing an advanced neural network and physics solver coupled framework for accelerating flow field simulations. Engineering With Computers. 40(2). 1111–1126. 6 indexed citations
14.
Pang, Zhengbin, Ke Zuo, Qinglin Wang, et al.. (2023). Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. Briefings in Bioinformatics. 24(6). 32 indexed citations
15.
Li, Yuanhua, et al.. (2023). Achieve hybrid energy harvesting based on the internal resonance of a two-degree-of-freedom cantilever beam. Journal of Physics Conference Series. 2553(1). 12007–12007. 1 indexed citations
16.
17.
Zeng, Lingqiu, et al.. (2022). C-V2X Test Data Exchange Progress and Test Interface Definition. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2974–2979. 1 indexed citations
18.
Deng, Liang, Jianqiang Chen, Yueqing Wang, et al.. (2022). MVU-Net: a multi-view U-Net architecture for weakly supervised vortex detection. Engineering Applications of Computational Fluid Mechanics. 16(1). 1567–1586. 5 indexed citations
19.
Chen, Xinhai, Rongliang Chen, Qian Wan, Rui Xu, & Jie Liu. (2021). An improved data-free surrogate model for solving partial differential equations using deep neural networks. Scientific Reports. 11(1). 19507–19507. 30 indexed citations
20.
Chen, Xinhai, et al.. (2020). Developing a new mesh quality evaluation method based on convolutional neural network. Engineering Applications of Computational Fluid Mechanics. 14(1). 391–400. 37 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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