Songda Wang

516 total citations
23 papers, 370 citations indexed

About

Songda Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Songda Wang has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 4 papers in Control and Systems Engineering and 3 papers in Automotive Engineering. Recurrent topics in Songda Wang's work include HVDC Systems and Fault Protection (15 papers), Multilevel Inverters and Converters (9 papers) and High-Voltage Power Transmission Systems (8 papers). Songda Wang is often cited by papers focused on HVDC Systems and Fault Protection (15 papers), Multilevel Inverters and Converters (9 papers) and High-Voltage Power Transmission Systems (8 papers). Songda Wang collaborates with scholars based in Denmark, China and Netherlands. Songda Wang's co-authors include Remus Teodorescu, Tomislav Dragičević, Yuan Gao, Sanjay K. Chaudhary, Josep M. Guerrero, Shuqi Li, Gustavo Gontijo, Pengfei Hu, Patrick Wheeler and Pericle Zanchetta 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

Songda Wang

22 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songda Wang Denmark 9 341 146 24 20 16 23 370
Congzhe Gao China 11 423 1.2× 107 0.7× 8 0.3× 24 1.2× 23 1.4× 48 435
Marius Langwasser Germany 12 402 1.2× 263 1.8× 12 0.5× 13 0.7× 31 1.9× 59 436
Michael Adam Zagrodnik Singapore 12 343 1.0× 116 0.8× 6 0.3× 11 0.6× 26 1.6× 27 368
Hak-Jun Lee South Korea 11 357 1.0× 148 1.0× 9 0.4× 9 0.5× 17 1.1× 28 388
Ryo Maeda Japan 9 723 2.1× 222 1.5× 37 1.5× 32 1.6× 10 0.6× 15 735
Yanjun Tian Denmark 7 359 1.1× 208 1.4× 5 0.2× 13 0.7× 19 1.2× 7 368
Qian Heng China 7 309 0.9× 56 0.4× 16 0.7× 22 1.1× 10 0.6× 10 321
Dennis Karwatzki Germany 14 427 1.3× 150 1.0× 12 0.5× 9 0.5× 16 1.0× 18 449
Heya Yang China 12 376 1.1× 91 0.6× 11 0.5× 23 1.1× 13 0.8× 34 387
Sandeep Kolluri Singapore 9 280 0.8× 112 0.8× 11 0.5× 4 0.2× 46 2.9× 22 299

Countries citing papers authored by Songda Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songda Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Songda Wang. A scholar is included among the top collaborators of Songda Wang 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 Songda Wang. Songda Wang 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.
Sun, Yin, et al.. (2025). A Dispatchable Virtual Oscillator Controller in the dq Frame With Enhanced Grid-Forming Power Reference Tracking Capability. IEEE Transactions on Power Electronics. 40(8). 10973–10987. 2 indexed citations
2.
Yang, Dongsheng, et al.. (2024). A Direct Current-Synchronization Control for Voltage Source Converter With Enhanced Fault Ride-Through Capability. IEEE Open Journal of Power Electronics. 5. 1484–1499. 1 indexed citations
3.
Gao, Yuan, Songda Wang, Tomislav Dragičević, Patrick Wheeler, & Pericle Zanchetta. (2023). Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview. SHILAP Revista de lepidopterología. 4. 366–375. 28 indexed citations
4.
Gao, Yuan, Songda Wang, Tao Yang, et al.. (2022). Inverse Application of Artificial Intelligence for the Control of Power Converters. IEEE Transactions on Power Electronics. 38(2). 1535–1548. 13 indexed citations
5.
Wu, Mingli, et al.. (2022). Analysis and Comparison of MMC-Based Co-Phase Traction Power Supply Topology for Auto-Transformer Power Supply System. IEEE Transactions on Power Delivery. 37(5). 4053–4063. 19 indexed citations
6.
Gontijo, Gustavo, Songda Wang, Tamás Kerekes, & Remus Teodorescu. (2021). Novel Converter Topology With Reduced Cost, Size and Weight for High-Power Medium-Voltage Machine Drives: 3x3 Modular Multilevel Series Converter. IEEE Access. 9. 49082–49097. 9 indexed citations
7.
Wang, Songda & Dongsheng Yang. (2021). Fast Oscillation Source Location Method Based on Instantaneous Active/Reactive Power Direction. 270. 1–6. 1 indexed citations
8.
9.
Gontijo, Gustavo, Songda Wang, Tamás Kerekes, & Remus Teodorescu. (2021). Performance Analysis of Modular Multilevel Converter and Modular Multilevel Series Converter under Variable-Frequency Operation Regarding Submodule-Capacitor Voltage Ripple. Energies. 14(3). 776–776. 5 indexed citations
10.
Gontijo, Gustavo, Songda Wang, Tamás Kerekes, & Remus Teodorescu. (2020). New AC–AC Modular Multilevel Converter Solution for Medium-Voltage Machine-Drive Applications: Modular Multilevel Series Converter. Energies. 13(14). 3664–3664. 8 indexed citations
11.
Wang, Songda, Tomislav Dragičević, Gustavo Gontijo, Sanjay K. Chaudhary, & Remus Teodorescu. (2020). Machine Learning Emulation of Model Predictive Control for Modular Multilevel Converters. IEEE Transactions on Industrial Electronics. 68(11). 11628–11634. 58 indexed citations
12.
Wang, Songda, Tomislav Dragičević, & Remus Teodorescu. (2020). Learning Based Capacitor Voltage Ripple Reduction of Modular Multilevel Converters under Unbalanced Grid Conditions with Different Power Factors. VBN Forskningsportal (Aalborg Universitet). 30. 531–535. 4 indexed citations
13.
Wang, Songda, Tomislav Dragičević, Yuan Gao, & Remus Teodorescu. (2020). Neural Network Based Model Predictive Controllers for Modular Multilevel Converters. IEEE Transactions on Energy Conversion. 36(2). 1562–1571. 54 indexed citations
14.
Jin, Yu, Songda Wang, Qian Xiao, et al.. (2019). A Novel Harmonic Control Method for MMC Combining Improved Nearest Level Control and Selective Harmonic Elimination method. VBN Forskningsportal (Aalborg Universitet). 4 indexed citations
15.
Xiao, Qian, Yu Jin, Jinyu Wang, et al.. (2019). A Novel Fault-Tolerant Control Method for Modular Multilevel Converter with an Improved Phase Disposition Level-Shifted PWM. VBN Forskningsportal (Aalborg Universitet). 3839–3844. 4 indexed citations
16.
Wang, Songda, Remus Teodorescu, & Sanjay K. Chaudhary. (2018). Capacitor Voltage Ripple Reduction Methods of Modular Multilevel Converter under Unbalanced Fault Conditions: A Comparison. VBN Forskningsportal (Aalborg Universitet). 1–6. 8 indexed citations
17.
Hu, Pengfei, et al.. (2018). A Reduced-Switching-Frequency Modulation Method for Hybrid MMCs Under Over-Modulation Conditions. VBN Forskningsportal (Aalborg Universitet). 8993. 3903–3908. 2 indexed citations
18.
Wang, Yi, et al.. (2017). A boost type control strategy in dual active bridge bidirectional DC-DC converter. 1–6. 1 indexed citations
19.
20.
Wang, Songda & Yi Wang. (2016). Synchronous Buck DC-DC converter for ultrawide input-voltage range. 97. 182–189. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Congzhe Gao Breakdown of academic impact, for papers by Marius Langwasser Breakdown of academic impact, for papers by Michael Adam Zagrodnik Breakdown of academic impact, for papers by Hak-Jun Lee Breakdown of academic impact, for papers by Ryo Maeda Breakdown of academic impact, for papers by Yanjun Tian Breakdown of academic impact, for papers by Qian Heng Breakdown of academic impact, for papers by Dennis Karwatzki Breakdown of academic impact, for papers by Heya Yang Breakdown of academic impact, for papers by Sandeep Kolluri
Rankless by CCL
2026