Xingang Fu

1.3k citations

52 papers · 967 indexed · h-index 14

Energy Engineering and Power Technology top 5%
Control and Systems Engineering top 2%
- Microgrid Control and Optimization 28
Electrical and Electronic Engineering top 5%
- Multilevel Inverters and Converters 14
- Advanced DC-DC Converters 7
- Frequency Control in Power Systems 7
- Wind Turbine Control Systems 7
- Smart Grid Energy Management 6
Renewable Energy, Sustainability and the Environment top 10%
- Photovoltaic System Optimization Techniques 8
Automotive Engineering top 10%
Computational Theory and Mathematics
- Adaptive Dynamic Programming Control 9

Co-authors: Shuhui Li Michael Fairbank Eduardo Alonso Donald C. Wunsch Malek RamezaniYang SunZhongwen Li Hoyun Won
Cited by: Energy Engineering and Power Technology Control and Systems Engineering Electrical and Electronic Engineering
Journals: SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Industrial Electronics (1 paper)IEEE Transactions on Power Electronics (1 paper)
Partner nations: United States United Kingdom China

In The Last Decade

Xingang Fu

47 papers receiving 936 citations

Peers

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

The 25 scholars most cited alongside Xingang Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xingang Fu Line = papers co-authored together Xingang Fu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	An ultra-high-performance tandem mass spectrometry method to quantify tryptophan metabolites in aqueous humor of primary angle-closure glaucoma patients Journal of Chromatography A ·Xingang Fu,Weiwei Guo,Cheng Yan,Lin Li	2025	0
2	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 ·Ramkrishna Mishan,Xingang Fu,Chanakya Hingu,Poria Fajri	2025	0
3	32-Bit Fixed and Floating-Point Hardware Implementation for Enhanced Inverter Control: Leveraging FPGA in Recurrent Neural Network Applications IEEE Access ·Chanakya Hingu,Xingang Fu,P. Vangala,Ramkrishna Mishan,Poria Fajri	2024	1
4	PWM-Based Hardware Authentication for Smart Inverters: Detecting Counterfeit Inverter through Transient Response Analysis Chanakya Hingu,Xingang Fu,Ramkrishna Mishan,Taesic Kim	2024	0
5	Accelerating the neural network controller embedded implementation on FPGA with novel dropout techniques for a solar inverter Pervasive and Mobile Computing ·Jordan Sturtz,Kushal Kalyan Devalampeta Surendranath,Maxwell Sam,Xingang Fu,Chanakya Hingu,Rajab Challoo,Letu Qingge	2024	1
6	Power-Optimized Field-Programmable Gate Array Implementation of Neural Activation Functions Using Continued Fractions for AI/ML Workloads Electronics ·Chanakya Hingu,Xingang Fu,Taofiki Saliyu,Rui Hu,Ramkrishna Mishan	2024	1
7	Accelerating FPGA Implementation of Neural Network Controllers via 32-bit Fixed-Point Design for Real-Time Control Chanakya Hingu,Xingang Fu,Rajab Challoo,Jiang Lu,Xiaokun Yang,Letu Qingge	2023	2
8	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 ·Xingang Fu,Jordan Sturtz,Eduardo Alonso,Rajab Challoo,Letu Qingge	2023	2
9	Exploring Dynamic P-Q Capability and Abnormal Operations Associated with PMSG Wind Turbines Energies ·Shahinur Rahman,Shuhui Li,Himadry Shekhar Das,Xingang Fu,Hoyun Won,Yang‐Ki Hong	2023	0
10	A Novel Weight Dropout Approach to Accelerate the Neural Network Controller Embedded Implementation on FPGA for a Solar Inverter Jordan Sturtz,Xingang Fu,Chanakya Hingu,Letu Qingge	2023	1
11	Deep Learning Approaches for the Protein Scaffold Filling Problem Jordan Sturtz,Binhai Zhu,Xiaowen Liu,Xingang Fu,Xiaohong Yuan,Letu Qingge	2022	3
12	VHDL Schematic Design and FPGA Simulation of Neural Network Activation Function using Continued Fractions Taofiki Saliyu,Xingang Fu,Chanakya Hingu	2022	1
13	Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs IEEE Transactions on Neural Networks and Learning Systems ·Xingang Fu,Shuhui Li,Donald C. Wunsch,Eduardo Alonso	2021	7
14	The Effect of High Performance Computer on Deep Neural Network Engineered Science ·Xin Zhang,Ting Zhang,Lu Jiang,Xingang Fu,Francisco Reveriano	2021	2
15	Approximate Dynamic Programming Vector Controllers for Operation of IPM Motors in Linear and Overmodulation Regions IEEE Transactions on Transportation Electrification ·Yang Sun,Shuhui Li,Xingang Fu,Weizhen Dong,Malek Ramezani,Bharat Balasubramanian	2020	7
16	Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results IEEE Transactions on Cybernetics ·Shuhui Li,Hoyun Won,Xingang Fu,Michael Fairbank,Donald C. Wunsch,Eduardo Alonso	2019	79
17	Comparison and Simulation of the Level-Shifted and Phase-Shifted Modulation for a Five-Level Converter for Integration of Renewable Sources Abdullah Al Hadi,Xingang Fu,Wanjau Waithaka,Rajab Challoo,Shuhui Li	2018	5
18	Novel Neural Control of Single-Phase Grid-Tied Multilevel Inverters for Better Harmonics Reduction Electronics ·Xingang Fu,Shuhui Li,Abdullah Al Hadi,Rajab Challoo	2018	10
19	A Novel Neural Network Vector Control for Single-Phase Grid-Connected Converters with L, LC and LCL Filters Energies ·Xingang Fu,Shuhui Li	2016	16
20	An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances Neural Networks ·Michael Fairbank,Shuhui Li,Xingang Fu,Eduardo Alonso,Donald C. Wunsch	2013	31

About Xingang Fu

Xingang Fu is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Computational Theory and Mathematics, having authored 52 papers that have together received 967 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (28 papers), Multilevel Inverters and Converters (14 papers), Adaptive Dynamic Programming Control (9 papers), Photovoltaic System Optimization Techniques (8 papers), Advanced DC-DC Converters (7 papers), Frequency Control in Power Systems (7 papers), Wind Turbine Control Systems (7 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (80 citations), Control and Systems Engineering (584 citations) and Electrical and Electronic Engineering (719 citations). Xingang Fu has collaborated with scholars based in United States, United Kingdom and China. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

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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