Jie Yan

4.7k total citations · 2 hit papers
119 papers, 3.4k citations indexed

About

Jie Yan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jie Yan has authored 119 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Electrical and Electronic Engineering, 29 papers in Artificial Intelligence and 25 papers in Aerospace Engineering. Recurrent topics in Jie Yan's work include Energy Load and Power Forecasting (67 papers), Electric Power System Optimization (31 papers) and Wind Energy Research and Development (22 papers). Jie Yan is often cited by papers focused on Energy Load and Power Forecasting (67 papers), Electric Power System Optimization (31 papers) and Wind Energy Research and Development (22 papers). Jie Yan collaborates with scholars based in China, United States and United Kingdom. Jie Yan's co-authors include Yongqian Liu, Shuang Han, Li Li, David Infield, Hao Zhang, Jinhua Zhang, Haoran Zhang, Fue‐Sang Lien, Yanhui Qiao and Umesh Vaidya and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Jie Yan

114 papers receiving 3.3k citations

Hit Papers

Short-term forecasting and uncertainty analysis of wind t... 2019 2026 2021 2023 2019 2023 50 100 150 200 250
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.

  1. Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
    2019 296 citations Jinhua Zhang, Jie Yan et al. Applied Energy profile →
  2. A novel EMD and causal convolutional network integrated with Transformer for ultra short-term wind power forecasting
    2023 119 citations Jie Yan et al. profile →

Peers

Jie Yan
Georges Kariniotakis France
Paras Mandal United States
Chuanwen Jiang China
Yuan‐Kang Wu Taiwan
Jianchun Peng China
Ricardo J. Bessa Portugal
Sherif S. M. Ghoneim Saudi Arabia
Huaizhi Wang China
Akın Taşçıkaraoğlu Türkiye
Shuang Han China
Georges Kariniotakis France
Jie Yan
Citations per year, relative to Jie Yan Jie Yan (= 1×) peers Georges Kariniotakis

Countries citing papers authored by Jie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Yan. A scholar is included among the top collaborators of Jie Yan 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 Jie Yan. Jie Yan 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.
Song, Weiye, et al.. (2024). A multi-task spatio-temporal fusion network for offshore wind power ramp events forecasting. Renewable Energy. 237. 121774–121774. 3 indexed citations
2.
Wang, Han, Yunzhou Li, Jie Yan, et al.. (2024). A novel minute-scale prediction method of incoming wind conditions with limited LiDAR data. Renewable Energy. 240. 122235–122235. 3 indexed citations
3.
Ge, Chang, Jie Yan, Haoran Zhang, et al.. (2024). Joint short-term power forecasting of hydro-wind-photovoltaic considering spatiotemporal delay of weather processes. Renewable Energy. 237. 121679–121679. 10 indexed citations
4.
Ge, Chang, Jie Yan, Weiye Song, et al.. (2024). Middle-term wind power forecasting method based on long-span NWP and microscale terrain fusion correction. Renewable Energy. 240. 122123–122123. 10 indexed citations
5.
Yan, Yamin, Jie Yan, Shan Liu, et al.. (2024). Review and prospect on the construction method of security region for integrated natural gas and power systems. Energy. 307. 132543–132543. 3 indexed citations
6.
Shi, Zhiming, et al.. (2024). Cadmium and pyrene in the soil modify the properties of earthworm-mediated soil. The Science of The Total Environment. 949. 174878–174878. 3 indexed citations
7.
Yan, Yamin, Yumeng Wang, Jie Yan, Haoran Zhang, & Wen‐Long Shang. (2024). Wind electricity‑hydrogen-natural gas coupling: An integrated optimization approach for enhancing wind energy accommodation and carbon reduction. Applied Energy. 369. 123482–123482. 24 indexed citations
8.
Yan, Jie, et al.. (2024). A novel meta-learning approach for few-shot short-term wind power forecasting. Applied Energy. 362. 122838–122838. 22 indexed citations
9.
Zhang, Jinhua, et al.. (2024). Research on the Short-Term Prediction of Offshore Wind Power Based on Unit Classification. Electronics. 13(12). 2293–2293. 1 indexed citations
10.
Yan, Jie, et al.. (2024). Ultra-Short-Term Wind Power Forecasting Based on the Strategy of “Dynamic Matching and Online Modeling”. IEEE Transactions on Sustainable Energy. 16(1). 107–123. 12 indexed citations
11.
Yan, Jie, et al.. (2023). Hybrid physical and data driven modeling for dynamic operation characteristic simulation of wind turbine. Renewable Energy. 215. 118958–118958. 18 indexed citations
12.
Yan, Jie, Shan Liu, Yamin Yan, et al.. (2023). A data-driven model for power system operating costs based on different types of wind power fluctuations. Journal of Environmental Management. 351. 119878–119878. 1 indexed citations
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Yan, Yamin, Yan Wang, Jie Yan, et al.. (2023). Tech-economic modeling and analysis of agricultural photovoltaic-water systems for irrigation in arid areas. Journal of Environmental Management. 338. 117858–117858. 11 indexed citations
16.
Zhu, Zheng, Xiangyu Wang, Jie Yan, Liang Li, & Qiong Wu. (2021). A Dynamic Decoupling Control Method for PMSM of Brake-by-Wire System Based on Parameters Estimation. IEEE/ASME Transactions on Mechatronics. 27(5). 3762–3772. 28 indexed citations
17.
Yan, Yamin, Jie Yan, Mengjie Song, et al.. (2020). Design and optimal siting of regional heat-gas-renewable energy system based on building clusters. Energy Conversion and Management. 217. 112963–112963. 16 indexed citations
18.
Yan, Jie, et al.. (2019). Automatic Lip Reading Using Convolution Neural Network and Bidirectional Long Short-term Memory. International Journal of Pattern Recognition and Artificial Intelligence. 34(1). 2054003–2054003. 16 indexed citations
19.
Wang, Jiawei, et al.. (2018). Roll Angle Estimation Algorithm with Improved Sage-Husa Adaptive Kalman Filtering Based on Dual-spin Mortar Shell. Acta Armamentarii. 39(6). 1103. 1 indexed citations
20.
Yan, Jie, Hao Zhang, Yongqian Liu, et al.. (2017). Forecasting the High Penetration of Wind Power on Multiple Scales Using Multi-to-Multi Mapping. IEEE Transactions on Power Systems. 33(3). 3276–3284. 149 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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