Zhanjun Shao

567 total citations · 1 hit paper
28 papers, 410 citations indexed

About

Zhanjun Shao is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zhanjun Shao has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 14 papers in Mechanical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Zhanjun Shao's work include Railway Engineering and Dynamics (14 papers), Structural Health Monitoring Techniques (10 papers) and Composite Structure Analysis and Optimization (8 papers). Zhanjun Shao is often cited by papers focused on Railway Engineering and Dynamics (14 papers), Structural Health Monitoring Techniques (10 papers) and Composite Structure Analysis and Optimization (8 papers). Zhanjun Shao collaborates with scholars based in China, United Kingdom and Hong Kong. Zhanjun Shao's co-authors include Ping Xiang, Han Zhao, Lizhong Jiang, Xiaonan Xie, Peng Zhang, Peng Zhang, Yingying Zeng, Huifang Hu, Biao Wei and Xiumei Li and has published in prestigious journals such as Nature Communications, Engineering Structures and Computers & Structures.

In The Last Decade

Zhanjun Shao

26 papers receiving 393 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Safety analysis of high-speed trains on bridges under earthquakes using a LSTM-RNN-based surrogate model

2024 55 citations Han Zhao, Biao Wei et al. Computers & Structures profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhanjun Shao China	13	283	197	86	47	36	28	410
Xiaonan Xie China	13	287 1.0×	200 1.0×	59 0.7×	39 0.8×	33 0.9×	27	432
Yulin Feng China	18	783 2.8×	640 3.2×	82 1.0×	81 1.7×	153 4.3×	52	872
Jiří Kala Czechia	11	242 0.9×	83 0.4×	73 0.8×	66 1.4×	6 0.2×	63	363
Zhipeng Lai China	20	943 3.3×	776 3.9×	71 0.8×	94 2.0×	176 4.9×	55	1.0k
Hamid Reza Ahmadi Iran	11	299 1.1×	58 0.3×	82 1.0×	81 1.7×	3 0.1×	42	419
Christine Fünfschilling France	12	164 0.6×	213 1.1×	47 0.5×	6 0.1×	51 1.4×	20	339
Diego Froio Italy	10	228 0.8×	160 0.8×	91 1.1×	6 0.1×	11 0.3×	13	316
Jingnan Zhao United States	12	304 1.1×	138 0.7×	39 0.5×	30 0.6×	3 0.1×	28	466
Gang S. Chen United States	12	257 0.9×	99 0.5×	63 0.7×	10 0.2×	3 0.1×	29	308

Countries citing papers authored by Zhanjun Shao

Since Specialization

Citations

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

Fields of papers citing papers by Zhanjun Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanjun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanjun Shao. A scholar is included among the top collaborators of Zhanjun Shao 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 Zhanjun Shao. Zhanjun Shao 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:

20 of 20 papers shown

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

Shao, Zhanjun, et al.. (2025). An intelligent GNN seismic response prediction and computation framework adhering to meshless principles: A case study for high-speed railway bridges. Engineering Analysis with Boundary Elements. 179. 106359–106359.

Xiang, Ping, et al.. (2025). Efficient seismic response modeling for train-bridge systems: A time series mixer approach. Advances in Engineering Software. 207. 103957–103957. 4 indexed citations

Peng, Xuan, Peng Zhang, Yufei Chen, et al.. (2025). Adaptable graph region for optimizing performance in dynamic system long-term forecasting via time-aware expert. Nature Communications. 16(1). 10213–10213. 1 indexed citations

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

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

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

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

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

10.

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 →

11.

Zhang, Xuebing, et al.. (2024). A size-dependent meshfree model based on nonlocal strain gradient theory for trigonometric functionally graded nanoplates on variable elastic foundations. Structures. 69. 107480–107480. 5 indexed citations

12.

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

13.

Zhang, Xuebing, Xiaonan Xie, Han Zhao, et al.. (2024). Seismic response prediction method of train-bridge coupled system based on convolutional neural network-bidirectional long short-term memory-attention modeling. Advances in Structural Engineering. 28(2). 341–357. 3 indexed citations

14.

Xiang, Ping, Yufei Chen, Zhanjun Shao, et al.. (2024). Stochastic analysis of FG-CNTRC conical shell panels based on a perturbation stochastic meshless method without partial derivative. Advances in Engineering Software. 201. 103832–103832. 2 indexed citations

15.

Shao, Zhanjun, Han Zhao, Peng Zhang, et al.. (2024). A meshless computational framework for a modified dynamic system of vehicle coupled with plate structure. Engineering Structures. 312. 118140–118140. 12 indexed citations

16.

Xiang, Ping, Zefeng Liu, Zhanjun Shao, et al.. (2024). Meshfree method for bending and free vibration analysis of laminated plates using the Reissner’s mixed variational theorem. Mechanics of Advanced Materials and Structures. 32(20). 5063–5077. 4 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.

Zhang, Xuebing, et al.. (2023). A novel stochastic calculation scheme for dynamic response analysis of FG-GPLRC plate subject to a moving load. Acta Mechanica. 235(4). 1803–1822. 14 indexed citations

20.

Xiang, Ping, Peng Zhang, Han Zhao, Zhanjun Shao, & Lizhong Jiang. (2023). Seismic response prediction of a train-bridge coupled system based on a LSTM neural network. Mechanics Based Design of Structures and Machines. 52(8). 5673–5695. 50 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.

Explore authors with similar magnitude of impact