Yonghong Luo

871 total citations
19 papers, 568 citations indexed

About

Yonghong Luo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Yonghong Luo has authored 19 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Yonghong Luo's work include Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (5 papers) and Time Series Analysis and Forecasting (4 papers). Yonghong Luo is often cited by papers focused on Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (5 papers) and Time Series Analysis and Forecasting (4 papers). Yonghong Luo collaborates with scholars based in China, Hong Kong and Singapore. Yonghong Luo's co-authors include Xiaojie Yuan, Xiangrui Cai, Ying Zhang, Lipeng Zhu, Ying Zhang, Jun Xu, Chao Lü, Jie Song, Wenjie Zhang and Dipti Srinivasan and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Yonghong Luo

17 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yonghong Luo China	8	257	200	139	110	75	19	568
Yuxiu Hua China	5	163 0.6×	286 1.4×	59 0.4×	59 0.5×	38 0.5×	5	697
Paris Mastorocostas Greece	10	355 1.4×	154 0.8×	88 0.6×	178 1.6×	47 0.6×	61	627
Chun-Yang Zhang China	8	284 1.1×	182 0.9×	36 0.3×	59 0.5×	166 2.2×	32	582
Huyin Zhang China	12	177 0.7×	129 0.6×	67 0.5×	51 0.5×	116 1.5×	74	604
Bixiong Xu China	4	521 2.0×	72 0.4×	392 2.8×	115 1.0×	47 0.6×	4	771
M. Espinoza Belgium	11	155 0.6×	307 1.5×	53 0.4×	188 1.7×	49 0.7×	12	569
Binsu C. Kovoor India	9	177 0.7×	258 1.3×	48 0.3×	54 0.5×	133 1.8×	37	535
Wendong Zheng China	9	136 0.5×	92 0.5×	97 0.7×	51 0.5×	34 0.5×	13	364
Chi-Tat Leung Hong Kong	7	224 0.9×	207 1.0×	41 0.3×	41 0.4×	175 2.3×	15	473

Countries citing papers authored by Yonghong Luo

Since Specialization

Citations

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

Fields of papers citing papers by Yonghong Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghong Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Luo. A scholar is included among the top collaborators of Yonghong Luo 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 Yonghong Luo. Yonghong Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Luo, Yonghong, et al.. (2024). Interpretable data-driven method for sub/super-synchronous oscillation stability evaluation. Electric Power Systems Research. 241. 111399–111399. 1 indexed citations

Luo, Yonghong, et al.. (2023). Explainable Artificial Intelligence for Power System Security Assessment: A Case Study on Short-Term Voltage Stability. 8. 1–6. 2 indexed citations

Yang, Chen, Yonghong Luo, & Chao Lü. (2023). Power System Transient Voltage Stability Region Boundary Approximation and Stability Margin Estimation Based on Residual Neural Network. 1–10. 1 indexed citations

Zhang, Jingyi, Yonghong Luo, Boya Wang, et al.. (2021). Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 4249–4260. 27 indexed citations

Luo, Yonghong, Chao Lü, Lipeng Zhu, & Jie Song. (2021). Graph Convolutional Network-Based Interpretable Machine Learning Scheme in Smart Grids. IEEE Transactions on Automation Science and Engineering. 20(1). 47–58. 26 indexed citations

Zhu, Lipeng & Yonghong Luo. (2021). Deep Feedback Learning Based Predictive Control for Power System Undervoltage Load Shedding. IEEE Transactions on Power Systems. 36(4). 3349–3361. 19 indexed citations

Luo, Yonghong, Chao Lü, Lipeng Zhu, & Jie Song. (2021). Data-driven short-term voltage stability assessment based on spatial-temporal graph convolutional network. International Journal of Electrical Power & Energy Systems. 130. 106753–106753. 57 indexed citations

Zhu, Lipeng, Chao Lü, & Yonghong Luo. (2020). Time Series Data-Driven Batch Assessment of Power System Short-Term Voltage Security. IEEE Transactions on Industrial Informatics. 16(12). 7306–7317. 25 indexed citations

Zhang, Wenjie, Yonghong Luo, Ying Zhang, & Dipti Srinivasan. (2020). SolarGAN: Multivariate Solar Data Imputation Using Generative Adversarial Network. IEEE Transactions on Sustainable Energy. 12(1). 743–746. 79 indexed citations

10.

Liu, Jie, Chao Lü, Jie Song, & Yonghong Luo. (2020). Capacity optimization of Energy Storage Based on Intelligent optimization Algorithm and Photovoltaic Power Prediction Error Data. 38. 1–5. 2 indexed citations

11.

Luo, Yonghong, Ying Zhang, Xiangrui Cai, & Xiaojie Yuan. (2019). E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation. 3094–3100. 130 indexed citations

12.

Luo, Yonghong, Chao Lü, & Lipeng Zhu. (2019). Short-Term Voltage Stability Assessment Based on Local Autopattern Discovery. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). 2072–2077. 2 indexed citations

13.

Zhu, Lipeng, Chao Lü, & Yonghong Luo. (2019). Response-Based Adaptive Under-Voltage Load Shedding Using Oblique Energy Decision Tree. 5 indexed citations

14.

Luo, Yonghong, Xiangrui Cai, Ying Zhang, Jun Xu, & Xiaojie Yuan. (2018). Multivariate Time Series Imputation with Generative Adversarial Networks. Neural Information Processing Systems. 31. 1596–1607. 189 indexed citations

15.

Li, Cuiyu, et al.. (2017). Reliability evaluation of distribution network considering controllable distributed generation, battery swapping station and controllable switches. CIRED - Open Access Proceedings Journal. 2017(1). 1963–1966. 1 indexed citations

16.

Luo, Yonghong. (2017). Computer Image Retracking Assessment Based on Pixel Tracking. International Journal of Signal Processing Image Processing and Pattern Recognition. 10(1). 71–80. 1 indexed citations

17.

Luo, Yonghong, et al.. (2013). Dynamic Mapping Processing Between Global Ontology and Local Ontologies in Grid Environment. Information Technology Journal. 12(12). 2454–2459.

18.

Luo, Yonghong, Tefang Chen, & Yousheng Zhang. (2009). Distributed query optimization model based on data grid. Journal of Computer Applications. 28(10). 2553–2557.

19.

Luo, Yonghong. (2008). Fuzzy clustering based on predator prey particle swarm optimization. Computer Engineering and Applications Journal. 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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