Yan Pei

1.3k total citations · 1 hit paper
40 papers, 990 citations indexed

About

Yan Pei is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yan Pei has authored 40 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 16 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Yan Pei's work include Machine Fault Diagnosis Techniques (17 papers), Energy Load and Power Forecasting (12 papers) and Solar Radiation and Photovoltaics (9 papers). Yan Pei is often cited by papers focused on Machine Fault Diagnosis Techniques (17 papers), Energy Load and Power Forecasting (12 papers) and Solar Radiation and Photovoltaics (9 papers). Yan Pei collaborates with scholars based in China, Canada and Vietnam. Yan Pei's co-authors include Zheng Qian, Hamidreza Zareipour, Niya Chen, Jiaqi Qu, Anqi Wang, Yang Cong, Yunyi Zhu, Bin Xie, Lixiao Cao and Houli Li and has published in prestigious journals such as Applied Energy, Construction and Building Materials and Energy.

In The Last Decade

Yan Pei

38 papers receiving 964 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

2018 328 citations Zheng Qian, Yan Pei et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Pei China	14	582	308	266	154	129	40	990
Huan Long China	20	852 1.5×	375 1.2×	527 2.0×	245 1.6×	244 1.9×	71	1.5k
Ke Meng Australia	22	872 1.5×	179 0.6×	538 2.0×	130 0.8×	104 0.8×	44	1.3k
D. M. Vinod Kumar India	16	921 1.6×	236 0.8×	265 1.0×	62 0.4×	126 1.0×	54	1.1k
Xiaoming Xue China	14	433 0.7×	196 0.6×	408 1.5×	42 0.3×	47 0.4×	34	970
Jinhua Zhang China	13	600 1.0×	210 0.7×	133 0.5×	48 0.3×	164 1.3×	63	859
Jie Shi China	17	1.1k 1.9×	730 2.4×	268 1.0×	540 3.5×	114 0.9×	79	1.6k
Xiaohong Hao China	18	480 0.8×	162 0.5×	163 0.6×	218 1.4×	39 0.3×	135	1.3k
Mojtaba Jabbari Ghadi Australia	19	1.1k 1.9×	143 0.5×	506 1.9×	88 0.6×	64 0.5×	43	1.3k
Hamed H. Aly Canada	15	692 1.2×	263 0.9×	173 0.7×	85 0.6×	93 0.7×	78	901
George J. Tsekouras Greece	16	782 1.3×	142 0.5×	222 0.8×	73 0.5×	46 0.4×	58	1.3k

Countries citing papers authored by Yan Pei

Since Specialization

Citations

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

Fields of papers citing papers by Yan Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Pei

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pei, Yan, et al.. (2023). Wind turbine fault detection and identification through self-attention-based mechanism embedded with a multivariable query pattern. Renewable Energy. 211. 918–937. 22 indexed citations

2.

Zhu, Yunyi, Yan Pei, Anqi Wang, Bin Xie, & Zheng Qian. (2023). A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox. Engineering Applications of Artificial Intelligence. 125. 106674–106674. 33 indexed citations

3.

Pei, Yan, et al.. (2022). Missing wind speed data reconstruction with improved context encoder network. Energy Reports. 8. 3386–3394. 13 indexed citations

4.

Qian, Zheng, et al.. (2021). A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks. Renewable Energy. 185. 267–279. 35 indexed citations

5.

Qian, Zheng, et al.. (2021). Wind Turbine Fault Diagnosis by the Approach of SCADA Alarms Analysis. Applied Sciences. 12(1). 69–69. 7 indexed citations

6.

Lei, Zhen, et al.. (2021). Photovoltaic power missing data filling based on multiple matching and long‐ and short‐term memory network. International Transactions on Electrical Energy Systems. 31(4). 6 indexed citations

7.

Wang, Anqi, Zheng Qian, & Yan Pei. (2021). Condition Monitoring of Wind Turbine Converter based on a Two-stage Data Augmentation Scheme. IET conference proceedings.. 2021(5). 270–275. 2 indexed citations

8.

Qian, Zheng, et al.. (2020). Improving wind turbine efficiency through detection and calibration of yaw misalignment. Renewable Energy. 160. 1217–1227. 19 indexed citations

9.

Cao, Lixiao, et al.. (2018). Prediction of Remaining Useful Life of Wind Turbine Bearings under Non-Stationary Operating Conditions. Energies. 11(12). 3318–3318. 27 indexed citations

10.

Pei, Yan, Zheng Qian, Siyu Tao, & Hao Yu. (2018). Wind Turbine Condition Monitoring Using SCADA Data and Data Mining Method. 3760–3764. 5 indexed citations

11.

Qian, Zheng, Yan Pei, Hamidreza Zareipour, & Niya Chen. (2018). A review and discussion of decomposition-based hybrid models for wind energy forecasting applications. Applied Energy. 235. 939–953. 328 indexed citations breakdown →

12.

Qian, Zheng, et al.. (2018). Wind turbine pitch system condition monitoring based on performance curves in multiple states. 13. 1–6. 5 indexed citations

13.

Pei, Yan, et al.. (2018). Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection. Energies. 11(3). 553–553. 29 indexed citations

14.

Cong, Yang, et al.. (2018). A Data-Driven Approach for Condition Monitoring of Wind Turbine Pitch Systems. Energies. 11(8). 2142–2142. 22 indexed citations

15.

Li, Ni, et al.. (2017). The modeling and simulation of task assignment behavior in industrial organizations. 28. 228–233. 2 indexed citations

16.

Pei, Yan, et al.. (2014). Effect of Ta on the Solidification Behavior of Ni<sub>3</sub>Al-Base Single-Crystal Superalloys. Materials science forum. 788. 426–432. 1 indexed citations

17.

Peng, Hui, et al.. (2013). Improvement in Oxidation Resistance of Ni<sub>3</sub>Al Based Single Crystal Superalloy IC32 by NiAlHfSi Coating. Materials science forum. 747-748. 604–612. 1 indexed citations

18.

Sun, Min, Yan Gao, Yan Pei, et al.. (2010). Development of Nanosuspension Formulation for Oral Delivery of Quercetin. Journal of Biomedical Nanotechnology. 6(4). 325–332. 50 indexed citations

19.

Pei, Yan. (2007). Graphite wastes used as anode material for lithium ion batteries. Chinese Journal of Power Sources. 1 indexed citations

20.

Pei, Yan. (2006). STUDY ON PORE STRUCTURE AND ADSORPTION PROPERTIES OF PITCH-BASED SPHERICAL ACTIVATED CARBON. 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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