Le Xie

12.0k total citations · 3 hit papers
288 papers, 8.6k citations indexed

About

Le Xie is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Le Xie has authored 288 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Electrical and Electronic Engineering, 106 papers in Control and Systems Engineering and 26 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Le Xie's work include Smart Grid Energy Management (94 papers), Electric Power System Optimization (78 papers) and Optimal Power Flow Distribution (73 papers). Le Xie is often cited by papers focused on Smart Grid Energy Management (94 papers), Electric Power System Optimization (78 papers) and Optimal Power Flow Distribution (73 papers). Le Xie collaborates with scholars based in United States, China and Netherlands. Le Xie's co-authors include Marija Ilić, Yilin Mo, Bruno Sinopoli, Anupam A. Thatte, Haiwang Zhong, Yingzhong Gu, P. R. Kumar, Dae‐Hyun Choi, Qing Xia and Lei Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Automatic Control.

In The Last Decade

Le Xie

272 papers receiving 8.3k citations

Hit Papers

Minimizing Electricity Cost: Optimization of Distributed ... 2010 2026 2015 2020 2010 2011 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Le Xie United States 50 6.1k 3.7k 1.4k 920 683 288 8.6k
Peng Zhang China 42 4.9k 0.8× 2.5k 0.7× 1.1k 0.8× 995 1.1× 356 0.5× 457 7.6k
Carlo Cecati Italy 41 9.1k 1.5× 7.5k 2.0× 1.1k 0.8× 849 0.9× 313 0.5× 262 12.9k
Peter Pálenský Netherlands 31 4.5k 0.7× 3.3k 0.9× 715 0.5× 356 0.4× 432 0.6× 294 6.2k
Thilo Sauter Austria 36 2.5k 0.4× 1.6k 0.4× 2.6k 1.9× 831 0.9× 540 0.8× 339 6.9k
Jinyu Wen China 59 12.0k 2.0× 7.3k 2.0× 522 0.4× 724 0.8× 127 0.2× 540 14.0k
Zhao Xu Hong Kong 53 9.8k 1.6× 5.1k 1.4× 398 0.3× 1.4k 1.5× 302 0.4× 369 11.3k
Osama A. Mohammed United States 59 10.6k 1.7× 7.1k 1.9× 774 0.6× 684 0.7× 290 0.4× 707 13.3k
Wei Yao China 47 6.8k 1.1× 4.6k 1.2× 499 0.4× 718 0.8× 86 0.1× 353 8.8k
Yijia Cao China 55 9.3k 1.5× 5.4k 1.4× 669 0.5× 545 0.6× 275 0.4× 453 11.6k
Qi Huang China 53 6.2k 1.0× 3.5k 0.9× 659 0.5× 561 0.6× 420 0.6× 515 9.1k

Countries citing papers authored by Le Xie

Since Specialization
Citations

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

Fields of papers citing papers by Le Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Le Xie. A scholar is included among the top collaborators of Le Xie 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 Le Xie. Le Xie 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, Chih‐Che, et al.. (2025). Open Power System Datasets and Open Simulation Engines: A Survey Toward Machine Learning Applications. IEEE Open Access Journal of Power and Energy. 12. 353–365.
2.
Wu, Tong, et al.. (2025). A Review of Safe Reinforcement Learning Methods for Modern Power Systems. Proceedings of the IEEE. 113(3). 213–255. 5 indexed citations
3.
Ding, Fei, et al.. (2025). LLM-Based Adaptive Distribution Voltage Regulation Under Frequent Topology Changes: An In-Context MPC Framework. IEEE Transactions on Smart Grid. 16(5). 4297–4300. 2 indexed citations
4.
Xie, Le, Na Li, & H. Vincent Poor. (2024). Sustainable electrification in the era of AI. 1(8). 493–494.
5.
Kalathil, Dileep, et al.. (2024). Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12801–12809. 1 indexed citations
6.
Xie, Le, Yang Weng, & Ram Rajagopal. (2023). Data Science and Applications for Modern Power Systems. 1 indexed citations
7.
Huang, Tong, et al.. (2023). Detection of Cyber Attacks in Grid-Tied PV Systems Using Dynamic Watermarking. IEEE Transactions on Industry Applications. 60(1). 819–827. 14 indexed citations
8.
Huang, Tong, et al.. (2023). Robust Dynamic Watermarking for Cyber-Physical Security of Inverter-Based Resources in Power Distribution Systems. IEEE Transactions on Industrial Electronics. 71(7). 7106–7116. 12 indexed citations
9.
Zheng, Xiangtian, et al.. (2022). Analyzing Extreme Events in Power Systems: An Open, Cross-Domain Data-Driven Approach. IEEE Power and Energy Magazine. 20(6). 47–55. 3 indexed citations
10.
Yan, Chao, Xinbo Geng, Zhaohong Bie, & Le Xie. (2022). Two-stage robust energy storage planning with probabilistic guarantees: A data-driven approach. Applied Energy. 313. 118623–118623. 23 indexed citations
11.
Tan, Bendong, Junbo Zhao, & Le Xie. (2022). Transferable Deep Kernel Emulator for Probabilistic Load Margin Assessment With Topology Changes, Uncertain Renewable Generations and Loads. IEEE Transactions on Power Systems. 38(6). 5740–5754. 4 indexed citations
12.
Xie, Le, Tong Huang, Xiangtian Zheng, et al.. (2022). Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. Patterns. 3(12). 100640–100640. 9 indexed citations
13.
Xie, Le, Tong Huang, P. R. Kumar, Anupam A. Thatte, & Sanjoy K. Mitter. (2022). On an Information and Control Architecture for Future Electric Energy Systems. Proceedings of the IEEE. 110(12). 1940–1962. 10 indexed citations
14.
Huang, Tong, Sicun Gao, & Le Xie. (2021). A Neural Lyapunov Approach to Transient Stability Assessment of Power Electronics-Interfaced Networked Microgrids. IEEE Transactions on Smart Grid. 13(1). 106–118. 49 indexed citations
15.
Zheng, Xiangtian, Bin Wang, Dileep Kalathil, & Le Xie. (2021). Generative Adversarial Networks-Based Synthetic PMU Data Creation for Improved Event Classification. IEEE Open Access Journal of Power and Energy. 8. 68–76. 24 indexed citations
17.
Wang, Bin, et al.. (2020). Power Electronics Intelligence at the Network Edge (PINE)—An Approach to Interface PV and Battery Energy Storage Systems at the Grid Edge. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(5). 5219–5227. 13 indexed citations
18.
Ruan, Guangchun, Dongqi Wu, Xiangtian Zheng, et al.. (2020). A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector. Joule. 4(11). 2322–2337. 117 indexed citations
19.
Huang, Tong, Bharadwaj Satchidanandan, P. R. Kumar, & Le Xie. (2018). An Online Detection Framework for Cyber Attacks on Automatic Generation Control. IEEE Transactions on Power Systems. 33(6). 6816–6827. 119 indexed citations
20.
Choi, Dae‐Hyun & Le Xie. (2016). Economic Impact Assessment of Topology Data Attacks With Virtual Bids. IEEE Transactions on Smart Grid. 9(2). 512–520. 23 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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