Luoxiao Yang

513 total citations
16 papers, 392 citations indexed

About

Luoxiao Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Luoxiao Yang has authored 16 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Luoxiao Yang's work include Energy Load and Power Forecasting (8 papers), Machine Fault Diagnosis Techniques (7 papers) and Wind Energy Research and Development (5 papers). Luoxiao Yang is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Machine Fault Diagnosis Techniques (7 papers) and Wind Energy Research and Development (5 papers). Luoxiao Yang collaborates with scholars based in Hong Kong, China and United States. Luoxiao Yang's co-authors include Zijun Zhang, Xin Liu, Zhong Zheng, Long Wang, Bingying Zhang, Jianfeng Cao, Rizwan Qureshi, Xinqi Fan, Huan Long and Hong Yan and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Energy.

In The Last Decade

Luoxiao Yang

15 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luoxiao Yang Hong Kong	11	240	129	102	62	49	16	392
Bing Zeng China	11	258 1.1×	149 1.2×	54 0.5×	18 0.3×	36 0.7×	32	382
Sui Peng China	9	307 1.3×	95 0.7×	58 0.6×	43 0.7×	70 1.4×	47	432
Zexian Sun China	7	304 1.3×	78 0.6×	123 1.2×	44 0.7×	24 0.5×	8	374
Wumaier Tuerxun China	7	114 0.5×	119 0.9×	78 0.8×	21 0.3×	23 0.5×	8	317
Quande Yuan China	8	138 0.6×	112 0.9×	46 0.5×	36 0.6×	28 0.6×	32	292
You Lin China	11	543 2.3×	166 1.3×	121 1.2×	39 0.6×	59 1.2×	26	627
Kwangsuk Lee South Korea	7	185 0.8×	82 0.6×	110 1.1×	21 0.3×	36 0.7×	8	335
İsmet Erkmen Türkiye	11	324 1.4×	100 0.8×	74 0.7×	55 0.9×	33 0.7×	31	485
De Tian China	13	263 1.1×	164 1.3×	29 0.3×	138 2.2×	29 0.6×	56	501
Jorge Maldonado-Correa Ecuador	8	141 0.6×	108 0.8×	55 0.5×	72 1.2×	23 0.5×	15	267

Countries citing papers authored by Luoxiao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Luoxiao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luoxiao Yang

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

All Works

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16 of 16 papers shown

Fei, Zicheng, et al.. (2025). Domain-adaptive state of health prediction of vehicle batteries powered by deep learning. Cell Reports Physical Science. 6(5). 102550–102550. 2 indexed citations

Zhao, Wei, et al.. (2024). A Novel Deep Learning Approach for Heliostat Dirt Segmentation and Severity Assessment. 1–6.

Yang, Luoxiao, et al.. (2023). A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data. Energy. 283. 128510–128510. 27 indexed citations

Zheng, Zhong, Luoxiao Yang, & Zijun Zhang. (2023). Conditional Variational Autoencoder Informed Probabilistic Wind Power Curve Modeling. IEEE Transactions on Sustainable Energy. 14(4). 2445–2460. 15 indexed citations

Liu, Xin, Luoxiao Yang, & Zijun Zhang. (2022). The attention-assisted ordinary differential equation networks for short-term probabilistic wind power predictions. Applied Energy. 324. 119794–119794. 28 indexed citations

Yang, Luoxiao, Zhongju Wang, Long Wang, et al.. (2022). UAV-Assisted Wind Turbine Counting With an Image-Level Supervised Deep Learning Approach. 4(1). 18–24. 6 indexed citations

Yang, Luoxiao, Long Wang, & Zijun Zhang. (2022). Generative Wind Power Curve Modeling via Machine Vision: A Deep Convolutional Network Method With Data-Synthesis-Informed-Training. IEEE Transactions on Power Systems. 38(2). 1111–1124. 15 indexed citations

Zheng, Zhong, Long Wang, Luoxiao Yang, & Zijun Zhang. (2021). Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method. IEEE Transactions on Power Systems. 37(2). 1386–1398. 30 indexed citations

Yang, Luoxiao, Zhong Zheng, & Zijun Zhang. (2021). An Improved Mixture Density Network Via Wasserstein Distance Based Adversarial Learning for Probabilistic Wind Speed Predictions. IEEE Transactions on Sustainable Energy. 13(2). 755–766. 15 indexed citations

10.

Yang, Luoxiao & Zijun Zhang. (2021). A Deep Attention Convolutional Recurrent Network Assisted by K-Shape Clustering and Enhanced Memory for Short Term Wind Speed Predictions. IEEE Transactions on Sustainable Energy. 13(2). 856–867. 35 indexed citations

11.

Long, Huan, et al.. (2021). Integrated Electricity-Gas System Optimal Dispatch Based on Deep Reinforcement Learning. 2021 IEEE Sustainable Power and Energy Conference (iSPEC). 4 indexed citations

12.

Yang, Luoxiao, Long Wang, Zhong Zheng, & Zijun Zhang. (2021). A Continual Learning-Based Framework for Developing a Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks. IEEE Transactions on Industrial Informatics. 18(7). 4912–4921. 17 indexed citations

13.

Liu, Xin, Luoxiao Yang, & Zijun Zhang. (2021). Short-Term Multi-Step Ahead Wind Power Predictions Based On A Novel Deep Convolutional Recurrent Network Method. IEEE Transactions on Sustainable Energy. 12(3). 1820–1833. 59 indexed citations

14.

Yang, Luoxiao & Zijun Zhang. (2020). Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 63 indexed citations

15.

Yang, Luoxiao & Zijun Zhang. (2020). A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages. IEEE Transactions on Industrial Informatics. 17(9). 6390–6398. 70 indexed citations

16.

Fan, Xinqi, et al.. (2020). Hybrid Separable Convolutional Inception Residual Network for Human Facial Expression Recognition. 21–26. 6 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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