Shoujun Song

1.7k total citations
98 papers, 1.3k citations indexed

About

Shoujun Song is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Shoujun Song has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Electrical and Electronic Engineering, 66 papers in Control and Systems Engineering and 30 papers in Mechanical Engineering. Recurrent topics in Shoujun Song's work include Electric Motor Design and Analysis (82 papers), Magnetic Bearings and Levitation Dynamics (52 papers) and Multilevel Inverters and Converters (24 papers). Shoujun Song is often cited by papers focused on Electric Motor Design and Analysis (82 papers), Magnetic Bearings and Levitation Dynamics (52 papers) and Multilevel Inverters and Converters (24 papers). Shoujun Song collaborates with scholars based in China, Germany and Canada. Shoujun Song's co-authors include Lefei Ge, Weiguo Liu, Ruiqing Ma, Man Zhang, Rik W. De Doncker, Gaoliang Fang, Zekun Xia, Zhihui Zhang, Dieter Peitsch and Zhihui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Shoujun Song

81 papers receiving 1.2k citations

Peers

Shoujun Song

EEE

CSE

EOMM

Yi Sui China

J R Hendershot United Kingdom

Li Yu China

Dave Staton United Kingdom

TJE Miller United Kingdom

F. Leonardi United States

C. Cossar United Kingdom

Yingjie Li United States

Peng Han China

Kum‐Kang Huh United States

Yi Sui China

Shoujun Song

1.0k ×0.9

EEE

525 ×0.8

CSE

215 ×0.6

290 ×1.0

EOMM

38 ×0.9

Citations per year, relative to Shoujun Song Shoujun Song (= 1×) peers Yi Sui

Countries citing papers authored by Shoujun Song

Since Specialization

Citations

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

Fields of papers citing papers by Shoujun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoujun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shoujun Song. A scholar is included among the top collaborators of Shoujun Song 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 Shoujun Song. Shoujun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Song, Shoujun, et al.. (2025). A Harmonic Optimized Deadbeat Predictive Control Method for Switched Reluctance Machine. IEEE Transactions on Power Electronics. 41(2). 2171–2180.

Song, Shoujun, et al.. (2025). High-Precision Virtual Signal Injection MTPA Control of Synchronous Reluctance Motor Based on Parameter Identification Considering Electromagnetic Torque Partial Derivation Term. IEEE Transactions on Transportation Electrification. 11(4). 10453–10460.

Ge, Lefei, et al.. (2024). Model Predictive Torque Control of Switched Reluctance Machines With Torque Sharing Function and PWM Control Signals Based on Linear Polynomial Fitting. IEEE Transactions on Power Electronics. 40(1). 40–45. 4 indexed citations

Ge, Lefei, et al.. (2024). A Novel Five-Level Power Converter Structure with Reduced Device Utilization for SRM. 2350–2355. 1 indexed citations

Ge, Lefei, et al.. (2024). A Novel Torque Ripple Suppression Method for Switched Reluctance Machine Based on Piecewise Linear Flux-Linkage Profile. IEEE Transactions on Industrial Electronics. 72(6). 6547–6552. 2 indexed citations

Ge, Lefei, et al.. (2024). A Sensorless Heavy Load Starting Control Method For SRMs With Residual Inductance Calculation and Polynomial Fitting. IEEE Transactions on Industrial Electronics. 72(1). 1082–1086. 2 indexed citations

Ge, Lefei, et al.. (2024). The Topology and Control Performance Analysis of a Novel Five-Level Power Converter for SRM. IEEE Transactions on Industrial Electronics. 72(5). 4505–4514. 2 indexed citations

Ge, Lefei, et al.. (2023). Model Predictive Torque and Force Control for Switched Reluctance Machines Based on Online Optimal Sharing Function. IEEE Transactions on Power Electronics. 38(10). 12359–12364. 40 indexed citations

Ge, Lefei, et al.. (2023). Model Predictive Control of SRMs Based on Modified Multilevel Power Converter. IEEE Transactions on Transportation Electrification. 10(3). 7100–7111. 3 indexed citations

10.

Song, Shoujun, et al.. (2023). Characteristics Testing and Torque Control of Aero-Engine Shaft-Line-Embedded Switched Reluctance Starter/Generator. IEEE Transactions on Industry Applications. 59(6). 7295–7305. 5 indexed citations

11.

Song, Shoujun, et al.. (2023). Conceptual design, AC loss calculation, and optimization of an airborne fully high temperature superconducting generator. Physica C Superconductivity. 605. 1354207–1354207. 7 indexed citations

12.

Ge, Lefei, Shuai Mao, Dianxun Xiao, et al.. (2023). A Composite Model Predictive Control Method of SRMs With PWM-Based Signal for Torque Ripple Suppression. IEEE Transactions on Transportation Electrification. 10(2). 2469–2478. 22 indexed citations

13.

Ge, Lefei, et al.. (2022). A Novel Model Predictive Torque Control of SRMs With Low Measurement Effort. IEEE Transactions on Industrial Electronics. 70(4). 3561–3570. 44 indexed citations

14.

Song, Shoujun, et al.. (2022). Feasible and Optimal Design of an Airborne High-Temperature Superconducting Generator Using Taguchi Method. Electronics. 11(12). 1901–1901. 1 indexed citations

15.

Liu, Jiayu, et al.. (2022). Sensorless Control of the Switched Reluctance Motor Based on the Sliding-Mode Observer. Journal of Electrical Engineering and Technology. 18(2). 981–989. 4 indexed citations

16.

Ge, Lefei, et al.. (2021). Continuous Rotor Position Estimation for SRM Based on Transformed Unsaturated Inductance Characteristic. IEEE Transactions on Power Electronics. 37(1). 37–41. 54 indexed citations

17.

Ge, Lefei, et al.. (2021). An Optimization-Based Initial Position Estimation Method for Switched Reluctance Machines. IEEE Transactions on Power Electronics. 36(11). 13285–13292. 40 indexed citations

18.

Song, Shoujun, Jialiang Liu, Yong Zhao, et al.. (2021). High-Dynamic Four-Quadrant Speed Adjustment of Switched Reluctance Machine With Torque Predictive Control. IEEE Transactions on Industrial Electronics. 69(8). 7733–7743. 25 indexed citations

19.

Ge, Lefei, et al.. (2019). A Simple Reluctance Calibration Strategy to Obtain the Flux-Linkage Characteristics of Switched Reluctance Machines. IEEE Transactions on Power Electronics. 35(3). 2787–2798. 45 indexed citations

20.

Wang, Yuanlin, Wei Xie, Xiaocan Wang, et al.. (2019). Fast Response Model Predictive Torque and Flux Control With Low Calculation Effort for PMSMs. IEEE Transactions on Industrial Informatics. 15(10). 5531–5540. 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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