Shaofeng Lu

3.3k total citations · 1 hit paper
114 papers, 2.6k citations indexed

About

Shaofeng Lu is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Shaofeng Lu has authored 114 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 44 papers in Industrial and Manufacturing Engineering and 35 papers in Automotive Engineering. Recurrent topics in Shaofeng Lu's work include Railway Systems and Energy Efficiency (43 papers), Railway Engineering and Dynamics (22 papers) and Transportation Planning and Optimization (20 papers). Shaofeng Lu is often cited by papers focused on Railway Systems and Energy Efficiency (43 papers), Railway Engineering and Dynamics (22 papers) and Transportation Planning and Optimization (20 papers). Shaofeng Lu collaborates with scholars based in China, United Kingdom and United States. Shaofeng Lu's co-authors include Antonio Facchetti, Stuart Hillmansen, Clive Roberts, Fei Xue, Т.K. Ho, Lin Jiang, Hoay Beng Gooi, Tobin J. Marks, Chaoxian Wu and John E. Northrup and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Materials.

In The Last Decade

Shaofeng Lu

106 papers receiving 2.5k citations

Hit Papers

Large modulation of carrier transport by grain-boundary m... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaofeng Lu China 28 1.4k 860 573 478 410 114 2.6k
Zhongping Yang China 22 833 0.6× 551 0.6× 319 0.6× 21 0.0× 568 1.4× 151 1.6k
Heng Li China 25 1.2k 0.8× 99 0.1× 174 0.3× 133 0.3× 1.0k 2.5× 210 2.1k
Hiroshi Makino Japan 26 1.3k 0.9× 108 0.1× 183 0.3× 139 0.3× 55 0.1× 173 2.1k
Chengying Xu United States 26 723 0.5× 198 0.2× 743 1.3× 202 0.4× 129 0.3× 109 2.4k
Qinglei Zhang China 21 705 0.5× 208 0.2× 275 0.5× 210 0.4× 73 0.2× 136 1.9k
Liang Wen China 19 297 0.2× 75 0.1× 64 0.1× 120 0.3× 172 0.4× 50 1.1k
Jong-Soo Kim South Korea 17 956 0.7× 146 0.2× 99 0.2× 68 0.1× 237 0.6× 115 1.5k

Countries citing papers authored by Shaofeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shaofeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofeng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofeng Lu. A scholar is included among the top collaborators of Shaofeng Lu 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 Shaofeng Lu. Shaofeng Lu 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.
Yang, Peng, et al.. (2025). Comparative Performance Analysis of Speed Trajectory Optimization Algorithms for Metro and High-Speed Railways. IEEE Transactions on Transportation Electrification. 11(4). 9000–9010.
2.
Xue, Fei, et al.. (2025). Lightweight model for power grid cascading failures risk evaluation based on graph physics-informed attention network. Expert Systems with Applications. 291. 128468–128468. 1 indexed citations
3.
Xue, Fei, et al.. (2024). Coupled partition and configuration for cohesive and self-sufficient virtual microgrids. Renewable energy focus. 51. 100632–100632. 1 indexed citations
4.
Yang, Peng, et al.. (2024). Energy-Efficient Train Control: A Comparative Study Based on Permanent Magnet Synchronous Motor and Induction Motor. IEEE Transactions on Vehicular Technology. 73(11). 16148–16159. 8 indexed citations
5.
Lu, Shaofeng, et al.. (2024). Energy-Efficient Train Control Considering Energy Storage Devices and Traction Power Network Using a Model Predictive Control Framework. IEEE Transactions on Transportation Electrification. 10(4). 10451–10467. 4 indexed citations
6.
Mou, Wenjie, et al.. (2024). Multi-Objective Path Planning for Unmanned Sweepers Considering Traffic Signals: A Reinforcement Learning-Enhanced NSGA-II Approach. Sustainability. 16(24). 11297–11297. 1 indexed citations
7.
Xue, Fei, Shaofeng Lu, Lin Jiang, et al.. (2023). Coordinated cyber-physical attack on power grids based on malicious power dispatch. International Journal of Electrical Power & Energy Systems. 155. 109678–109678. 7 indexed citations
8.
Wu, Qigang, et al.. (2022). Planning of distributed energy storage by a complex network approach. Journal of Renewable and Sustainable Energy. 14(2). 1 indexed citations
9.
Wu, Chaoxian, et al.. (2022). Optimal Sizing of Onboard Hybrid Energy Storage Devices Considering the Long-Term Train Operation. IEEE Access. 10. 58360–58374. 10 indexed citations
10.
Xue, Fei, et al.. (2022). Understanding Communities From a New Functional Perspective in Power Grids. IEEE Systems Journal. 16(2). 3072–3083. 8 indexed citations
11.
Xue, Fei, et al.. (2022). Evaluation for Risk of Cascading Failures in Power Grids by Inverse-Community Structure. IEEE Internet of Things Journal. 10(9). 7459–7468. 5 indexed citations
12.
Wu, Qigang, Fei Xue, Shaofeng Lu, et al.. (2022). Integrated network partitioning and DERs allocation for planning of Virtual Microgrids. Electric Power Systems Research. 216. 109024–109024. 9 indexed citations
13.
Wu, Chaoxian, Shaofeng Lu, Fei Xue, et al.. (2021). A Two-Step Method for Energy-Efficient Train Operation, Timetabling, and Onboard Energy Storage Device Management. IEEE Transactions on Transportation Electrification. 7(3). 1822–1833. 29 indexed citations
14.
Xue, Fei, et al.. (2020). Upgrading Conventional Distribution Networks by Actively Planning Distributed Generation Based on Virtual Microgrids. IEEE Systems Journal. 15(2). 2607–2618. 11 indexed citations
15.
Wu, Chaoxian, Shaofeng Lu, Fei Xue, Lin Jiang, & Minwu Chen. (2020). Optimal Sizing of Onboard Energy Storage Devices for Electrified Railway Systems. IEEE Transactions on Transportation Electrification. 6(3). 1301–1311. 56 indexed citations
16.
Ziqiang, Pan, Minwu Chen, Shaofeng Lu, Zhongbei Tian, & Yuanli Liu. (2020). Integrated Timetable Optimization for Minimum Total Energy Consumption of an AC Railway System. IEEE Transactions on Vehicular Technology. 69(4). 3641–3653. 52 indexed citations
17.
Xue, Fei, et al.. (2019). Power Grid Partitioning Based on Functional Community Structure. IEEE Access. 7. 152624–152634. 32 indexed citations
18.
Lu, Shaofeng, et al.. (2018). Adaptive Partial Train Speed Trajectory Optimization. Energies. 11(12). 3302–3302. 21 indexed citations
19.
Wu, Chaoxian, et al.. (2018). Train Speed Trajectory Optimization With On-Board Energy Storage Device. IEEE Transactions on Intelligent Transportation Systems. 20(11). 4092–4102. 55 indexed citations
20.
Xue, Fei, et al.. (2017). Structural Evaluation for Distribution Networks with Distributed Generation Based on Complex Network. Complexity. 2017. 1–10. 9 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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