Dejie Yu

5.3k total citations · 1 hit paper
146 papers, 4.5k citations indexed

About

Dejie Yu is a scholar working on Biomedical Engineering, Civil and Structural Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Dejie Yu has authored 146 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Biomedical Engineering, 60 papers in Civil and Structural Engineering and 56 papers in Statistics, Probability and Uncertainty. Recurrent topics in Dejie Yu's work include Acoustic Wave Phenomena Research (65 papers), Probabilistic and Robust Engineering Design (56 papers) and Structural Health Monitoring Techniques (38 papers). Dejie Yu is often cited by papers focused on Acoustic Wave Phenomena Research (65 papers), Probabilistic and Robust Engineering Design (56 papers) and Structural Health Monitoring Techniques (38 papers). Dejie Yu collaborates with scholars based in China, United States and United Kingdom. Dejie Yu's co-authors include Baizhan Xia, Hui Lü, Hui Yin, Dingcheng Zhang, Shengjie Zheng, Yiyuan Gao, Jian Liu, Shengwen Yin, Hongqing Dai and Ning Chen and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Dejie Yu

143 papers receiving 4.4k citations

Hit Papers

Elastic Higher-Order Topological Insulator with Topologic... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejie Yu China 38 1.5k 1.5k 1.3k 1.2k 940 146 4.5k
Michael D. Todd United States 40 3.2k 2.1× 622 0.4× 493 0.4× 749 0.6× 1.4k 1.5× 297 5.7k
Ranjan Ganguli India 39 2.5k 1.7× 659 0.5× 481 0.4× 1.7k 1.4× 888 0.9× 282 5.2k
Boyan S. Lazarov Denmark 33 6.4k 4.3× 462 0.3× 646 0.5× 556 0.5× 1.2k 1.3× 69 7.8k
Jean‐Claude Golinval Belgium 34 4.5k 3.1× 884 0.6× 439 0.3× 1.7k 1.5× 1.4k 1.5× 179 6.1k
Gaëtan Kerschen Belgium 42 6.5k 4.4× 949 0.6× 862 0.7× 2.6k 2.2× 1.9k 2.0× 214 8.4k
Krister Svanberg Sweden 15 5.4k 3.7× 434 0.3× 522 0.4× 531 0.5× 608 0.6× 22 6.5k
G. Maier Italy 44 2.2k 1.5× 849 0.6× 760 0.6× 462 0.4× 1.5k 1.6× 205 6.0k
Jan Swevers Belgium 46 1.1k 0.7× 143 0.1× 950 0.7× 6.3k 5.4× 3.6k 3.8× 389 8.2k
Grzegorz Litak Poland 42 1.6k 1.1× 186 0.1× 1.5k 1.2× 1.1k 1.0× 3.5k 3.7× 318 6.5k
Isaac Elishakoff United States 49 5.6k 3.8× 4.2k 2.9× 795 0.6× 2.0k 1.7× 1.1k 1.2× 506 9.9k

Countries citing papers authored by Dejie Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dejie Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejie Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dejie Yu. A scholar is included among the top collaborators of Dejie Yu 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 Dejie Yu. Dejie Yu 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.
Jiao, Junrui, et al.. (2024). Acoustic enhancement and weak signal detection based on quasibound states in the continuum. Journal of Sound and Vibration. 598. 118856–118856.
2.
Chen, Tinggui, Baizhan Xia, Dejie Yu, & Chuan‐Xing Bi. (2023). Robust enhanced acoustic sensing via gradient phononic crystals. Physics Letters A. 493. 129242–129242. 13 indexed citations
3.
Zheng, Shengjie, Xianfeng Man, Zhi‐Kang Lin, et al.. (2022). Observation of fractal higher-order topological states in acoustic metamaterials. Science Bulletin. 67(20). 2069–2075. 54 indexed citations
4.
Chen, Tinggui, Wenting Li, & Dejie Yu. (2021). A tunable gradient acoustic metamaterial for acoustic sensing. Extreme Mechanics Letters. 49. 101481–101481. 23 indexed citations
5.
Chen, Tinggui, Junrui Jiao, & Dejie Yu. (2020). Enhanced broadband acoustic sensing in gradient coiled metamaterials. Journal of Physics D Applied Physics. 54(8). 85501–85501. 11 indexed citations
6.
Dai, Hongqing, Baizhan Xia, & Dejie Yu. (2019). Acoustic patterning and manipulating microparticles using phononic crystal. Journal of Physics D Applied Physics. 52(42). 425302–425302. 4 indexed citations
7.
Yin, Hui, et al.. (2019). Adaptive robust control for a soft robotic snake: A smooth-zone approach. Applied Mathematical Modelling. 80. 454–471. 28 indexed citations
8.
Fan, Haiyan, Baizhan Xia, Liang Tong, Shengjie Zheng, & Dejie Yu. (2019). Elastic Higher-Order Topological Insulator with Topologically Protected Corner States. Physical Review Letters. 122(20). 204301–204301. 286 indexed citations breakdown →
9.
Yin, Hui, Dejie Yu, & Baizhan Xia. (2018). Reliability-based topology optimization for structures using fuzzy set model. Computer Methods in Applied Mechanics and Engineering. 333. 197–217. 32 indexed citations
10.
Xia, Baizhan, et al.. (2017). Subwavelength topological valley-spin states in the space-coiling acoustic metamaterials. Acta Physica Sinica. 66(22). 228101–228101. 8 indexed citations
11.
Lü, Hui, Wen‐Bin Shangguan, & Dejie Yu. (2017). A unified method and its application to brake instability analysis involving different types of epistemic uncertainties. Applied Mathematical Modelling. 56. 158–171. 32 indexed citations
12.
Ou, Lu & Dejie Yu. (2016). Compound fault diagnosis of gearboxes based on GFT component extraction. Measurement Science and Technology. 27(11). 115007–115007. 11 indexed citations
13.
Li, Xing, Dejie Yu, & Dingcheng Zhang. (2015). Fault diagnosis of rolling bearings based on the resonance-based sparse signal decomposition with optimal Q-Factor. 28(6). 1005. 5 indexed citations
14.
Yu, Dejie, et al.. (2014). Rolling Bearing Fault Diagnosis Based on Laplacian Score and Fuzzy C-means Clustering. Zhongguo jixie gongcheng. 25(10). 1352. 4 indexed citations
15.
Liu, Jian, et al.. (2013). Gearbox fault diagnosis using adaptive zero phase time-varying filter based on multi-scale chirplet sparse signal decomposition. Chinese Journal of Mechanical Engineering. 26(4). 831–838. 11 indexed citations
16.
Yu, Dejie. (2013). Fatigue design of auxiliary frame of an agitator truck based on ESLs structural optimization method. Zhendong yu chongji. 2 indexed citations
17.
Xia, Baizhan & Dejie Yu. (2013). An interval random perturbation method for structural‐acoustic system with hybrid uncertain parameters. International Journal for Numerical Methods in Engineering. 97(3). 181–206. 39 indexed citations
18.
Xia, Baizhan & Dejie Yu. (2012). Modified Interval Perturbation Finite Element Method for a Structural-Acoustic System With Interval Parameters. Journal of Applied Mechanics. 80(4). 52 indexed citations
19.
Xia, Baizhan, Dejie Yu, & Jian Liu. (2012). Hybrid uncertain analysis of acoustic field with interval random parameters. Computer Methods in Applied Mechanics and Engineering. 256. 56–69. 39 indexed citations
20.
Yang, Yu, et al.. (2003). A fuzzy parameters adaptive PID controller design of digital positional servo system. 1. 310–314. 13 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

Rankless by CCL
2026