Maodan Yuan

775 total citations
41 papers, 558 citations indexed

About

Maodan Yuan is a scholar working on Mechanics of Materials, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Maodan Yuan has authored 41 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 19 papers in Mechanical Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Maodan Yuan's work include Ultrasonics and Acoustic Wave Propagation (19 papers), Non-Destructive Testing Techniques (12 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Maodan Yuan is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (19 papers), Non-Destructive Testing Techniques (12 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Maodan Yuan collaborates with scholars based in China, South Korea and Hong Kong. Maodan Yuan's co-authors include Peter W. Tse, Xuanrong Ji, Sung-Jin Song, Hak-Joon Kim, Lvming Zeng, Jianhai Zhang, Yi‐Qing Ni, Junfang Wang, Huaping Wang and Jian‐Guo Dai and has published in prestigious journals such as Materials, Ultrasonics Sonochemistry and Smart Materials and Structures.

In The Last Decade

Maodan Yuan

39 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maodan Yuan China 14 201 168 146 133 90 41 558
Andrew Feeney United Kingdom 13 191 1.0× 132 0.8× 233 1.6× 50 0.4× 164 1.8× 66 526
Roman Furrer Switzerland 13 164 0.8× 121 0.7× 89 0.6× 39 0.3× 95 1.1× 32 414
Emmanuel Le Clézio France 15 509 2.5× 229 1.4× 276 1.9× 179 1.3× 110 1.2× 42 729
Ivan Sergeichev Russia 15 227 1.1× 190 1.1× 112 0.8× 166 1.2× 43 0.5× 50 646
Haoran Li China 16 161 0.8× 201 1.2× 179 1.2× 41 0.3× 178 2.0× 60 622
Michael W. Czabaj United States 16 499 2.5× 299 1.8× 107 0.7× 118 0.9× 37 0.4× 58 835
Jiashun Shi China 14 82 0.4× 208 1.2× 178 1.2× 203 1.5× 103 1.1× 57 628
Long Liu China 14 194 1.0× 384 2.3× 196 1.3× 61 0.5× 113 1.3× 70 853

Countries citing papers authored by Maodan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Maodan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maodan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Maodan Yuan. A scholar is included among the top collaborators of Maodan Yuan 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 Maodan Yuan. Maodan Yuan 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.
Peng, Zhongxiao, You Lv, Maodan Yuan, et al.. (2025). Ultrasound-assisted 3D printing of tungsten/photosensitive resin composites for acoustic backing layers applications. Smart Materials and Structures. 34(4). 45005–45005. 1 indexed citations
2.
Yuan, Maodan, et al.. (2025). 3D-printed PMN-PT ceramics for piezoelectric composite applications. Ceramics International. 51(22). 36123–36133. 1 indexed citations
3.
Yang, Zhihao, Feng Cheng, Zhigang Huang, et al.. (2024). An experimental acoustofluidic system for analyzing boundary-driven acoustic streaming generated by flat and curved walls. Experimental Thermal and Fluid Science. 160. 111319–111319.
4.
Yuan, Maodan, et al.. (2024). Nondestructive evaluation of bonding quality of dual-layer coatings based on the multi-feature ultrasonic method. Applied Acoustics. 224. 110151–110151. 1 indexed citations
5.
Wu, Junwei, et al.. (2024). 3D printing of CaBi4Ti3.925(Nb2/3Mn1/3)0.075O15 ceramics for high temperature ultrasound transducer. Smart Materials and Structures. 33(5). 55044–55044.
6.
Yuan, Maodan, et al.. (2024). The effect of solid content on the anisotropy for 3D printed barium titanate piezoelectric ceramics. Ceramics International. 50(23). 50697–50703. 4 indexed citations
7.
8.
Yuan, Maodan, et al.. (2023). Excitation of S1-ZGV Lamb wave with a compact wedged transducer and its application in local stress measurement. NDT & E International. 139. 102944–102944. 6 indexed citations
9.
Zhang, Donglai, et al.. (2023). 3D printed Er3+ doped KNNLN piezoelectric ceramics for transparent ultrasonic transducer application. Ceramics International. 50(7). 9979–9984. 6 indexed citations
10.
Wu, Junwei, Yan Chen, Maodan Yuan, et al.. (2023). Ultrasound neuromodulation ameliorates chronic corticosterone-induced depression- and anxiety-like behaviors in mice. Journal of Neural Engineering. 20(3). 36037–36037. 8 indexed citations
11.
Wu, Jim‐Wei, Yan Chen, Maodan Yuan, et al.. (2023). Simultaneous multi-target ultrasound neuromodulation in freely-moving mice based on a single-element ultrasound transducer. Journal of Neural Engineering. 20(1). 16021–16021. 13 indexed citations
12.
Wu, Junwei, et al.. (2023). Transcranial ultrasound neuromodulation facilitates isoflurane-induced general anesthesia recovery and improves cognition in mice. Ultrasonics. 135. 107132–107132. 13 indexed citations
13.
Yuan, Maodan, et al.. (2021). Extraction of Least‐Dispersive Ultrasonic Guided Wave Mode in Rail Track Based on Floquet‐Bloch Theory. Shock and Vibration. 2021(1). 10 indexed citations
14.
Yuan, Maodan, et al.. (2021). Quantitative Inspection of Complex-Shaped Parts Based on Ice-Coupled Ultrasonic Full Waveform Inversion Technology. Applied Sciences. 11(10). 4433–4433. 8 indexed citations
15.
Chen, Yan, Guisheng Xu, Jinfeng Liu, et al.. (2020). Micromachining of High Quality PMN–31%PT Single Crystals for High-Frequency (>20 MHz) Ultrasonic Array Transducer Applications. Micromachines. 11(5). 512–512. 6 indexed citations
16.
Wang, Huaping, Yi‐Qing Ni, Jian‐Guo Dai, & Maodan Yuan. (2019). Interfacial debonding detection of strengthened steel structures by using smart CFRP-FBG composites. Smart Materials and Structures. 28(11). 115001–115001. 44 indexed citations
17.
Yuan, Maodan, et al.. (2015). Absolute measurement of ultrasonic non-linearity parameter at contact interface. Nondestructive Testing And Evaluation. 30(4). 356–372. 20 indexed citations
18.
Yuan, Maodan, et al.. (2014). Prediction of the Effect of Defect Parameters on the Thermal Contrast Evolution during Flash Thermography by Finite Element Method. Journal of the Korean Society for Nondestructive Testing. 34(1). 10–17. 6 indexed citations
19.
Yang, Min, Jianhai Zhang, Maodan Yuan, et al.. (2012). Calibration method of projection coordinate system for X-ray cone-beam laminography scanning system. NDT & E International. 52. 16–22. 16 indexed citations
20.
Yuan, Maodan, et al.. (2011). A Numerical Model for Prediction of Residual Stress Using Rayleigh Waves. Journal of the Korean Society for Nondestructive Testing. 31(6). 656–664. 2 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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