Fei Wang

12.7k total citations · 2 hit papers
393 papers, 9.6k citations indexed

About

Fei Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Fei Wang has authored 393 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 278 papers in Electrical and Electronic Engineering, 105 papers in Artificial Intelligence and 91 papers in Control and Systems Engineering. Recurrent topics in Fei Wang's work include Smart Grid Energy Management (121 papers), Energy Load and Power Forecasting (120 papers) and Solar Radiation and Photovoltaics (72 papers). Fei Wang is often cited by papers focused on Smart Grid Energy Management (121 papers), Energy Load and Power Forecasting (120 papers) and Solar Radiation and Photovoltaics (72 papers). Fei Wang collaborates with scholars based in China, United States and Portugal. Fei Wang's co-authors include Kangping Li, Zhao Zhen, João P. S. Catalào, Zengqiang Mi, Miadreza Shafie‐khah, Xinxin Ge, Shi Su, Rolando Burgos, Hui Ren and Xiaoxing Lu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Materials and Blood.

In The Last Decade

Fei Wang

353 papers receiving 9.3k citations

Hit Papers

A day-ahead PV power forecastin... 2010 2026 2015 2020 2020 2010 100 200 300 400
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. A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
    2020 483 citations Fei Wang, Zhao Zhen et al. Energy Conversion and Management profile →
  2. Future electronic power distribution systems a contemplative view
    2010 466 citations Fei Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Wang China 49 6.9k 3.0k 2.4k 1.9k 618 393 9.6k
Noradin Ghadimi Iran 56 6.0k 0.9× 1.7k 0.6× 1.4k 0.6× 2.5k 1.3× 1.1k 1.8× 101 9.5k
Xi Chen China 47 3.9k 0.6× 1.6k 0.5× 909 0.4× 1.4k 0.7× 923 1.5× 533 9.2k
Zijun Zhang China 47 2.8k 0.4× 1.5k 0.5× 676 0.3× 1.7k 0.9× 484 0.8× 298 8.7k
Tao Yu China 54 6.9k 1.0× 2.1k 0.7× 2.0k 0.8× 4.0k 2.1× 729 1.2× 450 11.3k
Ming Yang China 40 3.2k 0.5× 1.0k 0.3× 476 0.2× 1.3k 0.7× 375 0.6× 366 6.4k
Navid Razmjooy Iran 39 1.5k 0.2× 1.2k 0.4× 562 0.2× 613 0.3× 477 0.8× 87 4.1k
Xin Zhang China 53 7.2k 1.0× 787 0.3× 507 0.2× 4.1k 2.2× 1.6k 2.6× 943 12.5k
Na Li China 46 4.6k 0.7× 1.5k 0.5× 353 0.1× 3.4k 1.8× 386 0.6× 365 8.8k
Mingjing Wang China 47 1.9k 0.3× 5.9k 2.0× 1.2k 0.5× 839 0.4× 158 0.3× 121 10.1k
Hai Wang China 57 2.0k 0.3× 1.8k 0.6× 914 0.4× 3.8k 2.0× 1.2k 1.9× 584 12.4k

Countries citing papers authored by Fei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Wang. A scholar is included among the top collaborators of Fei Wang 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 Fei Wang. Fei Wang 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.
Zhen, Zhao, et al.. (2025). A short-term PV power forecasting method based on weather type credibility prediction and multi-model dynamic combination. Energy Conversion and Management. 326. 119501–119501. 12 indexed citations
2.
Hu, Chun, et al.. (2025). Management equity incentives, market dynamics, and corporate R&D investment. Finance research letters. 76. 106998–106998. 3 indexed citations
3.
Ge, Xinxin, et al.. (2024). Unsupervised disaggregation of aggregated net load considering behind-the-meter PV based on virtual PV sample construction. Applied Energy. 381. 125007–125007. 1 indexed citations
4.
Wang, Fei, et al.. (2024). A new class of composite GBII regression models with varying threshold for modeling heavy-tailed data. Insurance Mathematics and Economics. 117. 45–66.
5.
Ge, Xinxin, et al.. (2024). A SVM based demand response capacity prediction model considering internal factors under composite program. Energy. 300. 131460–131460. 4 indexed citations
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Wang, Bo, et al.. (2024). DeepVNP:Virtual Network Placing with Deep Reinforcement Learning in Industrial IoT. 778–783. 1 indexed citations
8.
Wang, Yongjian, et al.. (2024). Production mode selection for automakers considering product substitution under the dual-credit policy. Kybernetes. 54(5). 2592–2610. 1 indexed citations
9.
Wang, Fei, et al.. (2024). Improving the Forecasts of Coastal Wind Speeds in Tianjin, China Based on the WRF Model with Machine Learning Algorithms. Journal of Meteorological Research. 38(3). 570–585. 6 indexed citations
10.
Wang, Fei, et al.. (2024). Imitation behavior in environmental, social, and governance disclosure: Textual analysis evidence from Chinese listed enterprises. Business Ethics the Environment & Responsibility. 34(3). 771–793. 5 indexed citations
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Zhen, Zhao, Fei Wang, Fei Xu, et al.. (2024). CNN-LSTM Networks Based Sand and Dust Storms Monitoring Model Using FY-4A Satellite Data. IEEE Transactions on Industry Applications. 60(3). 5130–5141. 5 indexed citations
14.
Zhang, Yagang, et al.. (2023). A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis. Engineering Applications of Artificial Intelligence. 128. 107479–107479. 17 indexed citations
15.
Yang, Peng, et al.. (2023). Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model. Energies. 16(3). 1507–1507. 13 indexed citations
16.
Yin, Rui, et al.. (2021). An Evaluation Method for New Energy Power Prediction Based on Flexibility Matrix and TOPSIS Method. Electric Power Construction. 42(2). 35. 2 indexed citations
17.
Shafie‐khah, Miadreza, Saber Talari, Fei Wang, & João P. S. Catalào. (2020). Decentralised demand response market model based on reinforcement learning. IET Smart Grid. 3(5). 713–721. 5 indexed citations
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Li, Kangping, et al.. (2019). A Business Model Incorporating Harmonic Control as a Value-added Service for Utility-owned Electricity Retailers. Osuva (University of Vaasa). 7 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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