Pu Ren

634 total citations
13 papers, 393 citations indexed

About

Pu Ren is a scholar working on Civil and Structural Engineering, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Pu Ren has authored 13 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 6 papers in Statistical and Nonlinear Physics and 4 papers in Computational Mechanics. Recurrent topics in Pu Ren's work include Model Reduction and Neural Networks (6 papers), Structural Health Monitoring Techniques (5 papers) and Fluid Dynamics and Vibration Analysis (3 papers). Pu Ren is often cited by papers focused on Model Reduction and Neural Networks (6 papers), Structural Health Monitoring Techniques (5 papers) and Fluid Dynamics and Vibration Analysis (3 papers). Pu Ren collaborates with scholars based in United States, China and Canada. Pu Ren's co-authors include Hao Sun, Yang Liu, Chengping Rao, Jianxun Wang, Xinyu Chen, Lijun Sun, Oral Büyüköztürk, Su Chen, Hanwei Zhao and Youliang Ding and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Pu Ren

13 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pu Ren United States	8	177	98	86	75	49	13	393
Mohammad Amin Nabian United States	9	192 1.1×	48 0.5×	120 1.4×	68 0.9×	88 1.8×	18	421
Daniel Zhengyu Huang United States	11	171 1.0×	76 0.8×	111 1.3×	88 1.2×	63 1.3×	25	484
Ben Moseley United Kingdom	7	152 0.9×	23 0.2×	68 0.8×	72 1.0×	35 0.7×	13	361
George Em Karniadakis United States	6	219 1.2×	27 0.3×	126 1.5×	63 0.8×	44 0.9×	14	369
Kailai Xu United States	11	202 1.1×	98 1.0×	50 0.6×	73 1.0×	123 2.5×	17	573
Jian Cheng Wong Singapore	9	230 1.3×	28 0.3×	105 1.2×	50 0.7×	64 1.3×	22	430
Roberto Molinaro Switzerland	9	347 2.0×	32 0.3×	177 2.1×	103 1.4×	85 1.7×	10	539
Stefania Fresca Italy	12	370 2.1×	56 0.6×	173 2.0×	41 0.5×	57 1.2×	21	502
Teeratorn Kadeethum United States	14	237 1.3×	55 0.6×	176 2.0×	36 0.5×	157 3.2×	49	516

Countries citing papers authored by Pu Ren

Since Specialization

Citations

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

Fields of papers citing papers by Pu Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Ren. A scholar is included among the top collaborators of Pu Ren 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 Pu Ren. Pu Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Ren, Pu, et al.. (2025). Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network. Computer Physics Communications. 312. 109582–109582. 1 indexed citations

Ren, Pu, et al.. (2025). Data-driven modelling of fully nonlinear wave loads on offshore wind-turbine monopiles at prototype scale. Marine Structures. 101. 103775–103775. 2 indexed citations

Wang, Wei, Pu Ren, Yang Liu, et al.. (2024). FT-SMNet: Fourier transform sparse matrix network for structural health monitoring time series data forecasting. Mechanical Systems and Signal Processing. 224. 112196–112196. 2 indexed citations

Ren, Pu, et al.. (2024). Forecasting high-dimensional spatio-temporal systems from sparse measurements. Machine Learning Science and Technology. 5(4). 45067–45067. 1 indexed citations

Ren, Pu, Chengping Rao, Su Chen, et al.. (2023). SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. Computer Physics Communications. 295. 109010–109010. 43 indexed citations

Rao, Chengping, et al.. (2023). Encoding physics to learn reaction–diffusion processes. Nature Machine Intelligence. 5(7). 765–779. 62 indexed citations

Hajjar, Jerome F., et al.. (2023). Clustering and Selection of Hurricane Wind Records Using Autoencoder and k-Means Algorithm. Journal of Structural Engineering. 149(8). 3 indexed citations

Ren, Pu, et al.. (2023). An unsupervised machine learning approach for ground‐motion spectra clustering and selection. Earthquake Engineering & Structural Dynamics. 53(3). 1107–1124. 8 indexed citations

Ren, Pu, Chengping Rao, Yang Liu, et al.. (2023). PhySR: Physics-informed deep super-resolution for spatiotemporal data. Journal of Computational Physics. 492. 112438–112438. 22 indexed citations

10.

Ren, Pu, et al.. (2022). Autoregressive matrix factorization for imputation and forecasting of spatiotemporal structural monitoring time series. Mechanical Systems and Signal Processing. 169. 108718–108718. 19 indexed citations

11.

Ren, Pu, Chengping Rao, Yang Liu, Jianxun Wang, & Hao Sun. (2021). PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs. Computer Methods in Applied Mechanics and Engineering. 389. 114399–114399. 160 indexed citations

12.

Ren, Pu, Xinyu Chen, Lijun Sun, & Hao Sun. (2021). Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting. Mechanical Systems and Signal Processing. 158. 107734–107734. 51 indexed citations

13.

Ding, Youliang, Pu Ren, Hanwei Zhao, & Changqing Miao. (2018). Structural health monitoring of a high-speed railway bridge:five years review and lessons learned. Smart Structures and Systems. 21(5). 695. 19 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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