Jie Wan

2.2k total citations
99 papers, 1.6k citations indexed

About

Jie Wan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Jie Wan has authored 99 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 24 papers in Control and Systems Engineering and 17 papers in Aerospace Engineering. Recurrent topics in Jie Wan's work include Energy Load and Power Forecasting (22 papers), Electric Power System Optimization (20 papers) and Integrated Energy Systems Optimization (12 papers). Jie Wan is often cited by papers focused on Energy Load and Power Forecasting (22 papers), Electric Power System Optimization (20 papers) and Integrated Energy Systems Optimization (12 papers). Jie Wan collaborates with scholars based in China, United States and Hong Kong. Jie Wan's co-authors include Daren Yu, Guorui Ren, Jinfu Liu, Yufeng Guo, J.P.C. Kleijnen, Yonghong Chen, Fengyu Wang, Qinghua Hu, Xing Wang and Qianfan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Jie Wan

90 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Wan China 20 952 306 279 197 189 99 1.6k
Jiejin Cai China 23 1.3k 1.4× 513 1.7× 384 1.4× 283 1.4× 126 0.7× 108 2.8k
Yun Wang China 24 1.6k 1.6× 507 1.7× 248 0.9× 658 3.3× 149 0.8× 104 2.6k
Mehdi Bagheri Kazakhstan 30 2.2k 2.3× 236 0.8× 690 2.5× 185 0.9× 102 0.5× 195 3.3k
Qingshan Xu China 28 1.8k 1.9× 196 0.6× 856 3.1× 163 0.8× 318 1.7× 248 2.5k
Zheng Qian China 23 1.2k 1.2× 257 0.8× 549 2.0× 712 3.6× 77 0.4× 145 2.3k
Lin Ye China 24 1.6k 1.7× 286 0.9× 426 1.5× 503 2.6× 263 1.4× 86 1.9k
Yong Tang China 21 1.5k 1.6× 140 0.5× 650 2.3× 269 1.4× 179 0.9× 131 2.3k
Yagang Zhang China 28 1.9k 2.0× 358 1.2× 606 2.2× 668 3.4× 242 1.3× 141 2.9k
John D. Siirola United States 17 678 0.7× 71 0.2× 589 2.1× 104 0.5× 97 0.5× 38 1.6k
Bo Sun China 30 1.3k 1.4× 103 0.3× 504 1.8× 176 0.9× 244 1.3× 176 2.8k

Countries citing papers authored by Jie Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jie Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Wan. A scholar is included among the top collaborators of Jie Wan 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 Wan. Jie Wan 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.
Han, Ke, Jianchun Wang, Ying Chu, et al.. (2024). Deep learning based method for predicting DNA N6-methyladenosine sites. Methods. 230. 91–98. 2 indexed citations
2.
Han, Ke, et al.. (2024). Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit. Solar System Research. 58(5). 612–628.
3.
Hu, Pengfei, et al.. (2024). Vibration characteristics and life prediction of last stage blade in steam turbine Based on wet steam model. Engineering Failure Analysis. 159. 108127–108127. 6 indexed citations
4.
Li, Menghui, et al.. (2024). Online monitoring and fault early warning prediction method for the operational status of steam turbine sliding pin systems. Measurement Science and Technology. 36(1). 16220–16220.
5.
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
6.
7.
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
8.
Wan, Jie, et al.. (2022). Solar Flare Forecast Model Based on Resampling and Fusion Method. Research in Astronomy and Astrophysics. 22(8). 85020–85020. 6 indexed citations
9.
Peng, E, Feng Li, Jie Wan, et al.. (2022). An 18.3 MJ charging and discharging pulsed power supply system for the Space Plasma Environment Research Facility (SPERF): The integrated control subsystem. Review of Scientific Instruments. 93(6). 64709–64709. 2 indexed citations
10.
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
11.
Jin, Chenggang, Feng Li, Jie Wan, et al.. (2022). Design of the vacuum-centralized control system for the space plasma environment research facility based on the Experimental Physics and Industrial Control System. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 40(4). 2 indexed citations
12.
Wan, Jie, et al.. (2021). Class imbalance problem in short-term solar flare prediction. Research in Astronomy and Astrophysics. 21(9). 237–237. 11 indexed citations
13.
Sun, Xiaorong, Peter B. Luh, Mikhail A. Bragin, et al.. (2018). A Novel Decomposition and Coordination Approach for Large Day-Ahead Unit Commitment With Combined Cycle Units. IEEE Transactions on Power Systems. 33(5). 5297–5308. 51 indexed citations
14.
Sun, Xiaorong, Peter B. Luh, Mikhail A. Bragin, et al.. (2017). A decomposition and coordination approach for large-scale security constrained unit commitment problems with combined cycle units. 1–5. 12 indexed citations
15.
Li, Xingshuo, et al.. (2016). Study on failure characteristics and solutions for large turbine load oscillation. 132. 1321–1325. 1 indexed citations
16.
Wu, Xiaonan, et al.. (2014). Stress analysis of reciprocating pump pipeline system in oil station. Journal of chemical and pharmaceutical research. 6(7). 3 indexed citations
17.
Hu, Qinghua, Shiguang Zhang, Zongxia Xie, Ju‐Sheng Mi, & Jie Wan. (2014). Noise model based ν-support vector regression with its application to short-term wind speed forecasting. Neural Networks. 57. 1–11. 68 indexed citations
18.
Wang, Shuyun, et al.. (2012). Modeling and analysis of a circular PZT energy-generator used in hydraulic liquid absorber. Zhendong yu chongji. 31(16). 177–182. 3 indexed citations
19.
Wan, Jie. (2010). A Hybrid Adaptive Mutation Particle Swarm Optimization Algorithm for Job-Shop Scheduling. Computer Engineering and Science. 1 indexed citations
20.

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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