Xiaoyun Feng

2.7k total citations
128 papers, 2.0k citations indexed

About

Xiaoyun Feng is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Xiaoyun Feng has authored 128 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electrical and Electronic Engineering, 60 papers in Industrial and Manufacturing Engineering and 47 papers in Control and Systems Engineering. Recurrent topics in Xiaoyun Feng's work include Railway Systems and Energy Efficiency (60 papers), Multilevel Inverters and Converters (46 papers) and Railway Engineering and Dynamics (37 papers). Xiaoyun Feng is often cited by papers focused on Railway Systems and Energy Efficiency (60 papers), Multilevel Inverters and Converters (46 papers) and Railway Engineering and Dynamics (37 papers). Xiaoyun Feng collaborates with scholars based in China, United States and Denmark. Xiaoyun Feng's co-authors include Wensheng Song, Shunliang Wang, Qingyuan Wang, Xinglai Ge, Junpeng Ma, Pengfei Sun, Keyue Smedley, Cheng Xue, Liang Zhou and Bin Gou and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Xiaoyun Feng

120 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyun Feng China 23 1.4k 875 557 380 221 128 2.0k
Zhongbei Tian United Kingdom 19 478 0.3× 229 0.3× 917 1.6× 593 1.6× 326 1.5× 97 1.3k
Thanatchai Kulworawanichpong Thailand 17 801 0.6× 429 0.5× 240 0.4× 157 0.4× 173 0.8× 128 1.2k
Philippe Delarue France 26 1.6k 1.1× 786 0.9× 278 0.5× 239 0.6× 1.1k 5.2× 84 2.3k
Vito Calderaro Italy 18 1.2k 0.9× 903 1.0× 132 0.2× 101 0.3× 248 1.1× 101 1.5k
Qunzhan Li China 16 711 0.5× 289 0.3× 692 1.2× 373 1.0× 143 0.6× 103 1.1k
Ning Zhao United Kingdom 16 212 0.2× 100 0.1× 686 1.2× 489 1.3× 184 0.8× 52 940
Masafumi Miyatake Japan 20 1.6k 1.2× 485 0.6× 627 1.1× 504 1.3× 443 2.0× 97 2.7k
Vítor Monteiro Portugal 26 2.2k 1.6× 507 0.6× 105 0.2× 111 0.3× 1.5k 6.8× 170 2.4k
Liang Chu China 21 748 0.5× 346 0.4× 42 0.1× 183 0.5× 1.1k 4.8× 181 1.4k
Peter Pudney Australia 19 186 0.1× 168 0.2× 1.5k 2.7× 1.2k 3.1× 320 1.4× 62 1.9k

Countries citing papers authored by Xiaoyun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Feng. A scholar is included among the top collaborators of Xiaoyun Feng 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 Xiaoyun Feng. Xiaoyun Feng 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.
Wang, Huimin, Xinglai Ge, Yichi Zhang, et al.. (2025). Junction Temperature Monitoring of Power Devices Using Convolutional Neural Networks. IEEE Transactions on Industry Applications. 61(4). 6632–6643.
2.
Ge, Xinglai, et al.. (2024). Junction temperature monitoring of power devices using convolutional neural networks. IET conference proceedings.. 2024(3). 218–225. 1 indexed citations
3.
Feng, Xiaoyun, et al.. (2024). Lightweight Machine-Learning-Based Diagnosis for Power Electronic Systems Subject to Imbalanced Data. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 5(2). 733–744. 5 indexed citations
4.
Zuo, Yun, Huimin Wang, Xinglai Ge, et al.. (2023). A Novel Current Measurement Offset Error Compensation Method Based on the Adaptive Extended State Observer for IPMSM Drives. IEEE Transactions on Industrial Electronics. 71(4). 3371–3382. 17 indexed citations
5.
Yang, Song, et al.. (2023). Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines. Journal of Advanced Transportation. 2023. 1–12. 3 indexed citations
6.
Sun, Pengfei, et al.. (2023). Modeling and Energy-Optimal Control for Freight Trains based on Data-Driven Approaches. Future Generation Computer Systems. 152. 346–360. 4 indexed citations
7.
Feng, Xiaoyun, et al.. (2023). The optimal solution to the energy-efficient train control in a multi-trains system-part 1: the algorithm design. Transportmetrica A Transport Science. 21(2). 1 indexed citations
8.
Sun, Pengfei, et al.. (2022). Energy‐efficient train control considering the traction system efficiency. IET Intelligent Transport Systems. 16(11). 1633–1647. 6 indexed citations
9.
Sun, Pengfei, et al.. (2022). Optimal running time supplement for the energy‐efficient train control considering the section running time constraint. IET Intelligent Transport Systems. 16(5). 661–674. 7 indexed citations
10.
Feng, Xiaoyun, et al.. (2021). Energy‐efficient control of a train considering multi‐trains power flow. IET Intelligent Transport Systems. 16(3). 380–393. 6 indexed citations
11.
Xiao, Zhuang, et al.. (2021). Real-Time Energy-Efficient Driver Advisory System for High-Speed Trains. IEEE Transactions on Transportation Electrification. 7(4). 3163–3172. 33 indexed citations
12.
Qi, Hao, et al.. (2016). Microsecond Hardware-in-the-Loop Real-Time Simulation of Electrical Traction Drive System. Diangong Jishu Xuebao. 31(8). 198. 1 indexed citations
13.
Feng, Xiaoyun. (2013). An On-Line Adjustable Control Algorithm for On-Time and Energy Saving Operations of Trains. Zhongguo tiedao kexue. 6 indexed citations
14.
Feng, Xiaoyun, et al.. (2013). Train running time allocation algorithm based on dynamic programming. Chinese Control Conference. 8157–8160. 2 indexed citations
15.
Feng, Xiaoyun. (2012). Energy Saving Train Operation Optimization with Adaptive Genetic Algorithm. Jisuanji fangzhen. 2 indexed citations
16.
Feng, Xiaoyun. (2011). Research on the Real-Time Simulation of the Traction Drive System in Electric Multiple Units. Zhongguo tiedao kexue. 3 indexed citations
17.
Sun, Pengfei, et al.. (2010). Energy Efficient Control of Induction Motor Driving System. International Conference on Electrical Machines and Systems. 40(11). 13–16. 2 indexed citations
18.
Feng, Xiaoyun, et al.. (2008). Exploring and modeling on constant speed control strategy of permanent magnet synchronous motor for direct drive system. International Conference on Electrical Machines and Systems. 3070–3073. 1 indexed citations
19.
Song, Wensheng, et al.. (2008). Dead-time effect and a neutral point voltage control for a single-phase NPC converter. International Conference on Electrical Machines and Systems. 1421–1426. 5 indexed citations
20.
Feng, Xiaoyun. (2002). Organic Facies Distribution Characteristics of Hydrocarbon Resource Rock of Coal-measure Strata in Hailar Basin. 1 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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