Pingbo Wu

2.1k total citations
92 papers, 1.6k citations indexed

About

Pingbo Wu is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Pingbo Wu has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Mechanical Engineering, 37 papers in Civil and Structural Engineering and 37 papers in Mechanics of Materials. Recurrent topics in Pingbo Wu's work include Railway Engineering and Dynamics (70 papers), Mechanical stress and fatigue analysis (29 papers) and Civil and Geotechnical Engineering Research (22 papers). Pingbo Wu is often cited by papers focused on Railway Engineering and Dynamics (70 papers), Mechanical stress and fatigue analysis (29 papers) and Civil and Geotechnical Engineering Research (22 papers). Pingbo Wu collaborates with scholars based in China, Germany and Canada. Pingbo Wu's co-authors include Jing Zeng, Huailong Shi, Hao Wu, Fansong Li, Xingwen Wu, Chunyuan Song, Sheng Qu, Huanyun Dai, Jianbin Wang and Maoru Chi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Pingbo Wu

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingbo Wu China	24	1.3k	582	567	260	185	92	1.6k
Maoru Chi China	22	1.2k 0.9×	423 0.7×	469 0.8×	319 1.2×	198 1.1×	95	1.3k
Jing Zeng China	29	2.1k 1.6×	858 1.5×	722 1.3×	327 1.3×	406 2.2×	169	2.5k
P.A. Montenegro Portugal	24	1.1k 0.8×	855 1.5×	292 0.5×	105 0.4×	217 1.2×	68	1.6k
Sebastian Stichel Sweden	26	1.7k 1.3×	530 0.9×	566 1.0×	176 0.7×	244 1.3×	119	2.0k
He Xia China	27	2.0k 1.5×	1.7k 2.9×	372 0.7×	579 2.2×	240 1.3×	82	2.5k
Qing Wu Australia	28	1.9k 1.4×	300 0.5×	766 1.4×	226 0.9×	268 1.4×	136	2.4k
Shengyang Zhu China	33	2.6k 2.0×	2.2k 3.7×	598 1.1×	945 3.6×	313 1.7×	128	3.1k
J. Pombo Portugal	29	2.1k 1.6×	534 0.9×	981 1.7×	263 1.0×	416 2.2×	77	2.3k
Ping Lou China	18	941 0.7×	876 1.5×	183 0.3×	354 1.4×	146 0.8×	71	1.2k
José L. Escalona Spain	21	899 0.7×	564 1.0×	527 0.9×	103 0.4×	988 5.3×	79	1.7k

Countries citing papers authored by Pingbo Wu

Since Specialization

Citations

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

Fields of papers citing papers by Pingbo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingbo Wu

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

All Works

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20 of 20 papers shown

Wu, Pingbo, Jing Zeng, & Huanyun Dai. (2026). Dynamic Response Analysis of Railway Passenger Car With Flexible Carbody Model Based on Semi-Active Suspensions. Vehicle System Dynamics. 41. 774–783.

Wu, Pingbo, et al.. (2025). Novel method for measuring high-frequency wheel-rail force considering wheelset vibrations. Scientific Reports. 15(1). 15044–15044.

Li, Fansong, et al.. (2025). In-situ testing method for high-frequency vibration transmissibility of railway vehicles. Measurement. 256. 117993–117993. 1 indexed citations

Zeng, Dongfang, et al.. (2025). Fretting fatigue strength evaluation of scaled press-fitted railway axle containing a circumferential groove defect. International Journal of Fatigue. 194. 108824–108824. 2 indexed citations

Li, Fansong, et al.. (2024). Nonlinear optimal frequency control for dynamic vibration absorber and its application. Mechanical Systems and Signal Processing. 223. 111932–111932. 32 indexed citations

Wu, Pingbo, et al.. (2024). Experimental study on the residual life of high speed trains axles considering initial defects. Engineering Failure Analysis. 168. 109078–109078. 1 indexed citations

Zeng, Dongfang, et al.. (2024). Numerical prediction of fretting fatigue crack growth in scaled railway axles considering fretting wear evolution. International Journal of Fatigue. 181. 108150–108150. 5 indexed citations

Li, Haoqian, Fansong Li, Hao Gao, et al.. (2024). Online assessment of train hunting stability by monitoring dynamic wheel–rail displacement: why and how?. Nonlinear Dynamics. 112(14). 11993–12017. 4 indexed citations

Ye, Yunguang, Hao Gao, Caihong Huang, et al.. (2023). Computer vision for hunting stability inspection of high-speed trains. Measurement. 220. 113361–113361. 11 indexed citations

10.

Qu, Sheng, et al.. (2023). The determination of limit wheel profile for hunting instability of railway vehicles using stacking feature deep forest. Engineering Applications of Artificial Intelligence. 125. 106732–106732. 6 indexed citations

11.

Wu, Pingbo, et al.. (2023). Review of wheel-rail forces measuring technology for railway vehicles. Advances in Mechanical Engineering. 15(3). 15 indexed citations

12.

Li, Fansong, et al.. (2023). Stress spectrum compilation method and residual life prediction for hot spot position of metro bogie frame under resonance condition. Engineering Failure Analysis. 150. 107357–107357. 7 indexed citations

13.

Wu, Pingbo, et al.. (2023). Failure time prediction for vehicle dynamics under performance degradation of dampers and track evolution. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 238(6). 1256–1270. 2 indexed citations

14.

Qi, Yayun, Huanyun Dai, Pingbo Wu, Gan Feng, & Yunguang Ye. (2021). RSFT-RBF-PSO: a railway wheel profile optimisation procedure and its application to a metro vehicle. Vehicle System Dynamics. 60(10). 3398–3418. 32 indexed citations

15.

Shi, Huailong, et al.. (2019). Parametric Analysis of the Car Body Suspended Equipment for Railway Vehicles Vibration Reduction. IEEE Access. 7. 88116–88125. 14 indexed citations

16.

Wu, Pingbo, et al.. (2019). Prediction of wheel wear of different types of articulated monorail based on co-simulation of MATLAB and UM software. Advances in Mechanical Engineering. 11(6). 10 indexed citations

17.

Wu, Pingbo, et al.. (2016). The strength analysis of no power bogie in rail-defect detector car. Advances in engineering research. 1 indexed citations

18.

Chen, Chunming, Hong Zhong, Libo Cheng, et al.. (2015). Clinical research on overnight orthokeratology for vision quality. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Li, Qiuze, Huailong Shi, Jianbin Wang, & Pingbo Wu. (2014). The Application of Hilbert-Huang Transform in the Abnormal Vibration Analysis for Metro Vehicle. International Journal of Approximate Reasoning. 2(1). 99–105.

20.

Zhang, Jiye, Pingbo Wu, & Huanyun Dai. (2001). Global stability in hopfield neural networks with distributed time delays. Journal of Electronics (China). 18(2). 147–154. 1 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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