Guorui Ren

1.3k total citations
31 papers, 1.0k citations indexed

About

Guorui Ren is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Guorui Ren has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 15 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Guorui Ren's work include Energy Load and Power Forecasting (18 papers), Wind Energy Research and Development (15 papers) and Integrated Energy Systems Optimization (10 papers). Guorui Ren is often cited by papers focused on Energy Load and Power Forecasting (18 papers), Wind Energy Research and Development (15 papers) and Integrated Energy Systems Optimization (10 papers). Guorui Ren collaborates with scholars based in China, Sweden and Hong Kong. Guorui Ren's co-authors include Jie Wan, Daren Yu, Jinfu Liu, Yufeng Guo, Fei Li, Jay Lee, Feng Hong, Lennart Söder, Jizhen Liu and Chengyu Hu and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy.

In The Last Decade

Guorui Ren

31 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guorui Ren China 16 682 318 187 176 158 31 1.0k
Lueder von Bremen Germany 16 749 1.1× 178 0.6× 199 1.1× 124 0.7× 130 0.8× 44 1.1k
Matti Koivisto Denmark 19 964 1.4× 277 0.9× 216 1.2× 211 1.2× 97 0.6× 77 1.2k
Omid Alavi Iran 12 541 0.8× 448 1.4× 174 0.9× 56 0.3× 251 1.6× 30 879
Ayman Al‐Quraan Jordan 15 370 0.5× 292 0.9× 164 0.9× 140 0.8× 208 1.3× 36 680
Peng Hou Denmark 21 959 1.4× 747 2.3× 254 1.4× 365 2.1× 184 1.2× 56 1.5k
Navid Goudarzi United States 15 408 0.6× 538 1.7× 82 0.4× 110 0.6× 324 2.1× 57 1.1k
Stavros Lazarou Greece 12 449 0.7× 274 0.9× 49 0.3× 154 0.9× 121 0.8× 26 722
M. Carolin Mabel India 12 543 0.8× 200 0.6× 82 0.4× 109 0.6× 93 0.6× 22 769
Mukund R. Patel South Africa 8 761 1.1× 269 0.8× 235 1.3× 356 2.0× 120 0.8× 9 1.2k
Alex Maurício Araújo Brazil 13 397 0.6× 267 0.8× 79 0.4× 534 3.0× 90 0.6× 35 1.2k

Countries citing papers authored by Guorui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guorui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorui Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guorui Ren. A scholar is included among the top collaborators of Guorui Ren 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 Guorui Ren. Guorui Ren 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.
2.
Wang, Wei, Chen Peng, Guorui Ren, et al.. (2024). Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization. CSEE Journal of Power and Energy Systems. 2 indexed citations
3.
Li, Xuehan, Wei Wang, Lingling Ye, et al.. (2024). Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design. Energy. 300. 131535–131535. 22 indexed citations
4.
Ren, Guorui, et al.. (2023). A direct prediction method for wind power ramp events considering the class imbalanced problem. Energy Science & Engineering. 11(5). 1705–1715. 3 indexed citations
5.
Ren, Guorui, et al.. (2023). A novel metric for assessing wind and solar power complementarity based on three different fluctuation states and corresponding fluctuation amplitudes. Energy Conversion and Management. 278. 116721–116721. 39 indexed citations
6.
Wan, Jie, et al.. (2022). Spatiotemporal Diurnal Modulation Characteristic of Wind Speed and Power Generation Revealed by Its Measured Data Processing. Computational Intelligence and Neuroscience. 2022. 1–15. 1 indexed citations
7.
Ren, Guorui, Jie Wan, Wei Wang, et al.. (2021). Quantitative insights into the differences of variability and intermittency between wind and solar resources on spatial and temporal scales in China. Journal of Renewable and Sustainable Energy. 13(4). 11 indexed citations
8.
Zhang, Chongyu, Xi Lu, Guorui Ren, et al.. (2021). Optimal allocation of onshore wind power in China based on cluster analysis. Applied Energy. 285. 116482–116482. 40 indexed citations
9.
Ren, Guorui, Jie Wan, Jinfu Liu, & Daren Yu. (2020). Assessing temporal variability of wind resources in China and the spatial correlation of wind power in the selected regions. Journal of Renewable and Sustainable Energy. 12(1). 14 indexed citations
10.
Wan, Jie, Yanjia Wang, Guorui Ren, et al.. (2020). An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load. Energies. 13(24). 6503–6503. 2 indexed citations
11.
Li, Fei, Guorui Ren, & Jay Lee. (2019). Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks. Energy Conversion and Management. 186. 306–322. 73 indexed citations
12.
Ren, Guorui, Jie Wan, Jinfu Liu, & Daren Yu. (2019). Spatial and temporal correlation analysis of wind power between different provinces in China. Energy. 191. 116514–116514. 27 indexed citations
13.
Ren, Guorui, et al.. (2018). Prediction of the Standard Deviation of Wind Speed Turbulence. Journal of Environmental Informatics. 7 indexed citations
14.
Ren, Guorui, Jie Wan, Jinfu Liu, Daren Yu, & Lennart Söder. (2018). Analysis of wind power intermittency based on historical wind power data. Energy. 150. 482–492. 71 indexed citations
15.
Wan, Jie, Jinfu Liu, Guorui Ren, et al.. (2017). A universal power-law model for wind speed uncertainty. Cluster Computing. 22(S4). 10347–10359. 7 indexed citations
16.
Ren, Guorui, Jinfu Liu, Jie Wan, Yufeng Guo, & Daren Yu. (2017). Overview of wind power intermittency: Impacts, measurements, and mitigation solutions. Applied Energy. 204. 47–65. 264 indexed citations
17.
Wan, Jie, Guorui Ren, Jinfu Liu, Qinghua Hu, & Daren Yu. (2016). Ultra-short-term wind speed prediction based on multi-scale predictability analysis. Cluster Computing. 19(2). 741–755. 9 indexed citations
18.
Liu, Jinfu, Guorui Ren, Jie Wan, Yufeng Guo, & Daren Yu. (2016). Variogram time-series analysis of wind speed. Renewable Energy. 99. 483–491. 25 indexed citations
19.
An, Guipeng, et al.. (2014). Role of C5a-C5aR axis in the development of atherosclerosis. Science China Life Sciences. 57(8). 790–794. 25 indexed citations
20.
Wan, Jie, et al.. (2014). Experimental Study on Large Turbine HP-Valve’s Excitation Fault Caused by Steam’s Unsteady Flow and its Economic Solution. Applied Mechanics and Materials. 536-537. 1501–1509. 2 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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