Ping Xiang

7.6k total citations · 3 hit papers
296 papers, 5.8k citations indexed

About

Ping Xiang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Ping Xiang has authored 296 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Civil and Structural Engineering, 83 papers in Mechanical Engineering and 49 papers in Building and Construction. Recurrent topics in Ping Xiang's work include Railway Engineering and Dynamics (62 papers), Geotechnical Engineering and Underground Structures (44 papers) and Structural Behavior of Reinforced Concrete (42 papers). Ping Xiang is often cited by papers focused on Railway Engineering and Dynamics (62 papers), Geotechnical Engineering and Underground Structures (44 papers) and Structural Behavior of Reinforced Concrete (42 papers). Ping Xiang collaborates with scholars based in China, Hong Kong and United States. Ping Xiang's co-authors include Lizhong Jiang, Huaping Wang, Huiyang Zhou, K.M. Liew, Huaping Wang, Han Zhao, Xiang Liu, Yi Yang, Jingfei Kong and Zhanjun Shao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Ping Xiang

276 papers receiving 5.7k citations

Hit Papers

Heavy metal(loid)s in agr... 2023 2026 2024 2023 2024 2024 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping Xiang 2.7k 1.5k 960 829 702 296 5.8k
Jian Li 3.2k 1.2× 2.1k 1.4× 1.3k 1.4× 573 0.7× 1.3k 1.9× 485 8.3k
Tao Meng 1.6k 0.6× 290 0.2× 780 0.8× 874 1.1× 136 0.2× 170 3.3k
Hongyu Chen 438 0.2× 1.2k 0.8× 732 0.8× 233 0.3× 255 0.4× 210 3.1k
Fuqiang Wang 1.9k 0.7× 2.5k 1.7× 1.3k 1.4× 873 1.1× 136 0.2× 332 8.8k
Dongsheng Wang 977 0.4× 345 0.2× 527 0.5× 405 0.5× 179 0.3× 269 4.0k
R. W. Lewis 2.4k 0.9× 2.9k 2.0× 374 0.4× 349 0.4× 2.4k 3.4× 179 8.4k
Lin Hu 443 0.2× 871 0.6× 1.6k 1.6× 253 0.3× 124 0.2× 268 4.7k
Jun Li 6.5k 2.4× 885 0.6× 210 0.2× 2.5k 3.1× 1.3k 1.9× 386 8.8k
Liang Fan 968 0.4× 928 0.6× 389 0.4× 256 0.3× 221 0.3× 176 3.8k

Countries citing papers authored by Ping Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Xiang. A scholar is included among the top collaborators of Ping Xiang 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 Ping Xiang. Ping Xiang 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.
Shao, Zhanjun, Peng Zhang, Xiaonan Xie, et al.. (2025). A new three-dimensional model of train-track-bridge coupled system based on meshless method and its graph neural network-based surrogate model. Computers & Structures. 315. 107786–107786. 4 indexed citations
2.
Wu, Minger, et al.. (2025). Design, analysis, and test of an ultra-compact X-band deployable wrap-rib antenna. Acta Astronautica. 228. 918–930. 3 indexed citations
3.
Liu, Fengyuan, et al.. (2025). Dynamic analysis of the uncoiling process of multiple tape springs. Thin-Walled Structures. 211. 113079–113079. 1 indexed citations
4.
Zhao, Han, et al.. (2024). Seismic safety assessment with non-Gaussian random processes for train-bridge coupled systems. Earthquake Engineering and Engineering Vibration. 23(1). 241–260. 16 indexed citations
5.
Zhao, Han, Biao Wei, Peng Zhang, et al.. (2024). Safety analysis of high-speed trains on bridges under earthquakes using a LSTM-RNN-based surrogate model. Computers & Structures. 294. 107274–107274. 55 indexed citations breakdown →
6.
Zhang, Xuebing, Xiaonan Xie, Han Zhao, et al.. (2024). High-speed railway seismic response prediction using CNN-LSTM hybrid neural network. Journal of Civil Structural Health Monitoring. 14(5). 1125–1139. 64 indexed citations breakdown →
8.
Zhang, Peng, Han Zhao, Zhanjun Shao, et al.. (2024). Enhanced multi-scenario running safety assessment of railway bridges based on graph neural networks with self-evolutionary capability. Engineering Structures. 319. 118785–118785. 30 indexed citations
9.
Xiang, Ping, Xuan Peng, Xiaonan Xie, et al.. (2024). Adaptive GN block-based model for seismic response prediction of train-bridge coupled systems. Structures. 66. 106822–106822. 21 indexed citations
10.
Zhang, Peng, Han Zhao, Zhanjun Shao, et al.. (2024). A novel graph neural network framework with self-evolutionary mechanism: Application to train-bridge coupled systems. Advances in Engineering Software. 197. 103751–103751. 14 indexed citations
11.
Xiang, Ping, Huifang Hu, Han Zhao, et al.. (2024). Statistical running safety analysis of high-speed trains on beam bridges after long-term service. Structures. 67. 106897–106897. 4 indexed citations
12.
Wu, Meng, Xuebing Zhang, Peng Zhang, et al.. (2024). Axial compressive bearing capacity of high-strength concrete-filled Q690 square steel tubular stub column. Construction and Building Materials. 413. 134859–134859. 7 indexed citations
13.
Zhao, Han, Biao Wei, Zhanjun Shao, et al.. (2024). The impact of dissipative algorithms on assessment of high-speed train running safety on railway bridges. Engineering Structures. 314. 118298–118298. 16 indexed citations
14.
Ren, Zhiwen, et al.. (2024). Underwater acoustic absorbing metamaterials by material-structure-functionality collaborative optimization. International Journal of Mechanical Sciences. 281. 109573–109573. 19 indexed citations
15.
Xiang, Ping, Xiaonan Xie, Xuebing Zhang, et al.. (2024). Quasi-distributed optical fiber sensing for the coupled vibration analysis of high-speed train-bridge coupled system under earthquakes. Sensors and Actuators A Physical. 374. 115422–115422. 9 indexed citations
16.
Shao, Zhanjun, et al.. (2024). Stochastic static analysis of functionally graded sandwich nanoplates based on a novel stochastic meshfree computational framework. Advances in Engineering Software. 198. 103780–103780. 7 indexed citations
17.
Chen, Jun, Hao Shi, Jie Li, et al.. (2023). Mechanical properties of CFSST with steel reinforcement cage under biaxial eccentric compression. Journal of Constructional Steel Research. 204. 107853–107853. 9 indexed citations
18.
Shao, Zhanjun, et al.. (2023). Stochastic free vibration analysis of FG-CNTRC plates based on a new stochastic computational scheme. Applied Mathematical Modelling. 127. 119–142. 20 indexed citations
19.
Zhao, Han, et al.. (2023). Probabilistic analysis of high-speed train safety on bridges under stochastic near-fault pulse-type ground motions. Probabilistic Engineering Mechanics. 74. 103527–103527. 9 indexed citations
20.
Zhou, Yingying, Yuan Zhang, Xueli Hu, et al.. (2023). Overlooked role in bacterial assembly of different-sized granules in same sequencing batch reactor: Insights into bacterial niche of nutrient removal. Bioresource Technology. 391(Pt B). 129992–129992. 6 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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