Guifang Pan

1.0k total citations
9 papers, 811 citations indexed

About

Guifang Pan is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Guifang Pan has authored 9 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Aerospace Engineering and 3 papers in Energy Engineering and Power Technology. Recurrent topics in Guifang Pan's work include Energy Load and Power Forecasting (9 papers), Wind Energy Research and Development (5 papers) and Electric Power System Optimization (3 papers). Guifang Pan is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Wind Energy Research and Development (5 papers) and Electric Power System Optimization (3 papers). Guifang Pan collaborates with scholars based in China and United States. Guifang Pan's co-authors include Yagang Zhang, Yuan Zhao, Bing Chen, Jingyi Han, Chenhong Zhang, Fei Wang, Yan Xu, Jinfang Zhang, Yunpeng Zhao and Qian Li and has published in prestigious journals such as Journal of Cleaner Production, Energy Conversion and Management and IEEE Access.

In The Last Decade

Guifang Pan

9 papers receiving 786 citations

Peers

Guifang Pan
Guifang Pan
Citations per year, relative to Guifang Pan Guifang Pan (= 1×) peers Jinhua Zhang

Countries citing papers authored by Guifang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Guifang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifang Pan

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

All Works

9 of 9 papers shown
1.
Zhang, Yagang, Jingyi Han, Guifang Pan, Yan Xu, & Fei Wang. (2021). A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction. Journal of Cleaner Production. 292. 125981–125981. 85 indexed citations
2.
Zhang, Yagang & Guifang Pan. (2020). A hybrid prediction model for forecasting wind energy resources. Environmental Science and Pollution Research. 27(16). 19428–19446. 30 indexed citations
3.
Zhang, Yagang, Guifang Pan, Yunpeng Zhao, Qian Li, & Fei Wang. (2020). Short-term wind speed interval prediction based on artificial intelligence methods and error probability distribution. Energy Conversion and Management. 224. 113346–113346. 71 indexed citations
4.
Zhang, Yagang, Guifang Pan, Chenhong Zhang, & Yuan Zhao. (2019). Wind speed prediction research with EMD-BP based on Lorenz disturbance. Journal of Electrical Engineering. 70(3). 198–207. 19 indexed citations
5.
Pan, Guifang, Jingyi Han, & Yagang Zhang. (2019). Short-term wind speed prediction model of VMD-FOAGRNN based on Lorenz disturbance. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). 843–848. 4 indexed citations
6.
Zhang, Yagang, Guifang Pan, Bing Chen, et al.. (2019). Short-term wind speed prediction model based on GA-ANN improved by VMD. Renewable Energy. 156. 1373–1388. 248 indexed citations
7.
Zhang, Yagang, Yuan Zhao, Guifang Pan, & Jinfang Zhang. (2019). Wind Speed Interval Prediction Based on Lorenz Disturbance Distribution. IEEE Transactions on Sustainable Energy. 11(2). 807–816. 58 indexed citations
8.
Zhang, Yagang, Bing Chen, Guifang Pan, & Yuan Zhao. (2019). A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting. Energy Conversion and Management. 195. 180–197. 216 indexed citations
9.
Zhang, Yagang, Bing Chen, Yuan Zhao, & Guifang Pan. (2018). Wind Speed Prediction of IPSO-BP Neural Network Based on Lorenz Disturbance. IEEE Access. 6. 53168–53179. 80 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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