Shengjun Shi

1.2k total citations
58 papers, 1.0k citations indexed

About

Shengjun Shi is a scholar working on Control and Systems Engineering, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Shengjun Shi has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Control and Systems Engineering, 25 papers in Biomedical Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Shengjun Shi's work include Piezoelectric Actuators and Control (45 papers), Soft Robotics and Applications (17 papers) and Advanced MEMS and NEMS Technologies (10 papers). Shengjun Shi is often cited by papers focused on Piezoelectric Actuators and Control (45 papers), Soft Robotics and Applications (17 papers) and Advanced MEMS and NEMS Technologies (10 papers). Shengjun Shi collaborates with scholars based in China and United States. Shengjun Shi's co-authors include Weishan Chen, Yingxiang Liu, Junkao Liu, Liang Wang, Dongmei Xu, Chunhong Li, Xintian Tang, Junyi Yang, Kenji Uchino and Xinda Qi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Shengjun Shi

56 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengjun Shi China 21 778 427 389 351 174 58 1.0k
Xinqi Tian China 17 662 0.9× 356 0.8× 360 0.9× 282 0.8× 120 0.7× 35 897
Dongmei Xu China 17 739 0.9× 403 0.9× 307 0.8× 266 0.8× 157 0.9× 49 1.0k
Burhanettin Koc United States 16 554 0.7× 345 0.8× 364 0.9× 237 0.7× 96 0.6× 33 815
Tomoaki Mashimo Japan 21 770 1.0× 335 0.8× 498 1.3× 360 1.0× 115 0.7× 71 1.0k
Manabu Aoyagi Japan 18 520 0.7× 312 0.7× 447 1.1× 231 0.7× 136 0.8× 87 896
Takehiro Takano Japan 17 518 0.7× 265 0.6× 316 0.8× 201 0.6× 140 0.8× 73 765
Jiamei Jin China 23 769 1.0× 465 1.1× 562 1.4× 497 1.4× 269 1.5× 103 1.4k
Y. Tomikawa Japan 11 534 0.7× 258 0.6× 283 0.7× 242 0.7× 174 1.0× 36 814
Yoshirô Tomikawa Japan 19 521 0.7× 400 0.9× 481 1.2× 213 0.6× 157 0.9× 114 1.1k
S. Ueha Japan 7 489 0.6× 203 0.5× 262 0.7× 212 0.6× 138 0.8× 10 648

Countries citing papers authored by Shengjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shengjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjun Shi. A scholar is included among the top collaborators of Shengjun Shi 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 Shengjun Shi. Shengjun Shi 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.
2.
Bi, Shuhui, et al.. (2022). Apple Internal Quality Fusion Prediction by Multi-pattern Recognition Technology and Evidence Theory. Mobile Networks and Applications. 29(4). 1067–1075. 3 indexed citations
3.
Shi, Shengjun, et al.. (2020). Development of a novel spherical stator multi-DOF ultrasonic motor using in-plane non-axisymmetric mode. Mechanical Systems and Signal Processing. 140. 106658–106658. 45 indexed citations
4.
Xu, Dongmei, Yingxiang Liu, Shengjun Shi, et al.. (2018). Development of a Nonresonant Piezoelectric Motor With Nanometer Resolution Driving Ability. IEEE/ASME Transactions on Mechatronics. 23(1). 444–451. 118 indexed citations
5.
Shi, Shengjun, et al.. (2017). A ring-type multi-DOF ultrasonic motor with four feet driving consistently. Ultrasonics. 76. 234–244. 38 indexed citations
6.
Liu, Yingxiang, Shengjun Shi, Chunhong Li, et al.. (2017). Development of a bi-directional standing wave linear piezoelectric actuator with four driving feet. Ultrasonics. 84. 81–86. 36 indexed citations
7.
Liu, Yingxiang, et al.. (2017). Research on a Novel Exciting Method for a Sandwich Transducer Operating in Longitudinal-Bending Hybrid Modes. Sensors. 17(7). 1510–1510. 4 indexed citations
8.
Shi, Shengjun, et al.. (2017). Research on the thermal characteristics of bending hybrid piezoelectric actuators under different exciting methods. Ceramics International. 43. S15–S20. 14 indexed citations
9.
Xu, Dongmei, Yingxiang Liu, Junkao Liu, Shengjun Shi, & Weishan Chen. (2016). Motion Planning of a Stepping-Wriggle Type Piezoelectric Actuator Operating in Bending Modes. IEEE Access. 4. 2371–2378. 12 indexed citations
10.
Shi, Shengjun, et al.. (2015). An electromechanical coupling model of a bending vibration type piezoelectric ultrasonic transducer. Ultrasonics. 66. 18–26. 27 indexed citations
11.
Yan, Jipeng, et al.. (2015). Working principle and design of a linear ultrasonic motor with ring-type stator. 44. 35–39. 1 indexed citations
12.
Liu, Yingxiang, Weishan Chen, Junkao Liu, & Shengjun Shi. (2013). A rectangle-type linear ultrasonic motor using longitudinal vibration transducers with four driving feet. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(4). 777–785. 42 indexed citations
13.
Liu, Yingxiang, Junkao Liu, Weishan Chen, & Shengjun Shi. (2012). A u-shaped linear ultrasonic motor using longitudinal vibration transducers with double feet. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 59(5). 981–989. 51 indexed citations
14.
Liu, Junkao, Yue Leng, Weishan Chen, & Shengjun Shi. (2012). Simulation of a piezoelectric micro-jet generator for high viscosity. 2. 859–864. 3 indexed citations
15.
Chen, Weishan, et al.. (2011). Working principle and design of a double cylinders type traveling wave ultrasonic motor using composite transducer. Ha'erbin gongye daxue xuebao. 18(2). 1 indexed citations
16.
Shi, Shengjun. (2011). A quasi-passive dynamic walker inspired by human walking. Journal of Central South University(Science and Technology).
17.
Liu, Yingxiang, Weishan Chen, Junkao Liu, & Shengjun Shi. (2010). Actuating Mechanism and Design of a Cylindrical Traveling Wave Ultrasonic Motor Using Cantilever Type Composite Transducer. PLoS ONE. 5(4). e10020–e10020. 25 indexed citations
18.
Shi, Shengjun, Junkao Liu, Weishan Chen, & Yingxiang Liu. (2010). A Novel L-B Hybrid Langevin Transducer Type Linear Ultrasonic Motor With Modal Coupling Reducing Configuration. Ferroelectrics. 408(1). 71–77. 10 indexed citations
19.
Liu, Yingxiang, Weishan Chen, Junkao Liu, & Shengjun Shi. (2010). A cylindrical standing wave ultrasonic motor using bending vibration transducer. Ultrasonics. 51(5). 527–531. 30 indexed citations
20.
Chen, Weishan, Yingxiang Liu, Junkao Liu, & Shengjun Shi. (2010). A Linear Ultrasonic Motor Using Bending Vibration Transducer with Double Driving Feet. Ferroelectrics. 400(1). 221–230. 27 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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