Xingang Fu

1.3k total citations
52 papers, 967 citations indexed

About

Xingang Fu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Xingang Fu has authored 52 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 32 papers in Control and Systems Engineering and 12 papers in Computational Theory and Mathematics. Recurrent topics in Xingang Fu's work include Microgrid Control and Optimization (28 papers), Multilevel Inverters and Converters (14 papers) and Adaptive Dynamic Programming Control (9 papers). Xingang Fu is often cited by papers focused on Microgrid Control and Optimization (28 papers), Multilevel Inverters and Converters (14 papers) and Adaptive Dynamic Programming Control (9 papers). Xingang Fu collaborates with scholars based in United States, United Kingdom and China. Xingang Fu's co-authors include Shuhui Li, Michael Fairbank, Eduardo Alonso, Donald C. Wunsch, Malek Ramezani, Yang Sun, Zhongwen Li, Hoyun Won, Rajab Challoo and Ke Bao 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

Xingang Fu

47 papers receiving 936 citations

Peers

Xingang Fu
Xingang Fu
Citations per year, relative to Xingang Fu Xingang Fu (= 1×) peers Javad Olamaei

Countries citing papers authored by Xingang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xingang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingang Fu. A scholar is included among the top collaborators of Xingang Fu 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 Xingang Fu. Xingang Fu 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
2.
Fu, Xingang, et al.. (2025). Analyzing frequency spectrum and Total Harmonic Distortion for high switching frequency operation of GaN-based filter-less multilevel cascaded H-bridge inverter. e-Prime - Advances in Electrical Engineering Electronics and Energy. 11. 100906–100906.
5.
Fu, Xingang, et al.. (2024). Accelerating the neural network controller embedded implementation on FPGA with novel dropout techniques for a solar inverter. Pervasive and Mobile Computing. 104. 101975–101975. 1 indexed citations
8.
Fu, Xingang, et al.. (2023). Parallel Trajectory Training of Recurrent Neural Network Controllers With Levenberg–Marquardt and Forward Accumulation Through Time in Closed-Loop Control Systems. IEEE Transactions on Sustainable Computing. 9(2). 222–229. 2 indexed citations
9.
Li, Shuhui, et al.. (2023). Exploring Dynamic P-Q Capability and Abnormal Operations Associated with PMSG Wind Turbines. Energies. 16(10). 4116–4116.
11.
Zhu, Binhai, et al.. (2022). Deep Learning Approaches for the Protein Scaffold Filling Problem. 3 indexed citations
13.
Fu, Xingang, Shuhui Li, Donald C. Wunsch, & Eduardo Alonso. (2021). Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3751–3763. 7 indexed citations
14.
Zhang, Xin, et al.. (2021). The Effect of High Performance Computer on Deep Neural Network. Engineered Science. 2 indexed citations
15.
Sun, Yang, et al.. (2020). Approximate Dynamic Programming Vector Controllers for Operation of IPM Motors in Linear and Overmodulation Regions. IEEE Transactions on Transportation Electrification. 7(2). 659–670. 7 indexed citations
16.
Li, Shuhui, Hoyun Won, Xingang Fu, et al.. (2019). Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Transactions on Cybernetics. 50(7). 3218–3230. 79 indexed citations
18.
Fu, Xingang, et al.. (2018). Novel Neural Control of Single-Phase Grid-Tied Multilevel Inverters for Better Harmonics Reduction. Electronics. 7(7). 111–111. 10 indexed citations
19.
Fu, Xingang & Shuhui Li. (2016). A Novel Neural Network Vector Control for Single-Phase Grid-Connected Converters with L, LC and LCL Filters. Energies. 9(5). 328–328. 16 indexed citations
20.
Fairbank, Michael, Shuhui Li, Xingang Fu, Eduardo Alonso, & Donald C. Wunsch. (2013). An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks. 49. 74–86. 31 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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