Fei Zhang

544 total citations
38 papers, 389 citations indexed

About

Fei Zhang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fei Zhang has authored 38 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Fei Zhang's work include Energy Load and Power Forecasting (14 papers), Solar Radiation and Photovoltaics (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Fei Zhang is often cited by papers focused on Energy Load and Power Forecasting (14 papers), Solar Radiation and Photovoltaics (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Fei Zhang collaborates with scholars based in China, Japan and Hong Kong. Fei Zhang's co-authors include Xiaoying Ren, Yongqian Liu, Xueli An, Lu Gao, Pengcheng Li, Honglu Zhu, Yongping Wang, Xu Li, Mingyan Wu and Zhen Zhang and has published in prestigious journals such as Applied Energy, PLoS Biology and IEEE Access.

In The Last Decade

Fei Zhang

31 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Zhang China	11	216	136	133	75	66	38	389
Nur Sarma United Kingdom	10	291 1.3×	178 1.3×	37 0.3×	61 0.8×	15 0.2×	27	410
Jingxuan Zhang China	13	326 1.5×	138 1.0×	99 0.7×	47 0.6×	10 0.2×	43	478
Yanhui Qiao China	7	278 1.3×	80 0.6×	158 1.2×	28 0.4×	74 1.1×	15	406
Ailing Yang China	8	158 0.7×	47 0.3×	61 0.5×	75 1.0×	13 0.2×	23	320
Luoxiao Yang Hong Kong	11	240 1.1×	129 0.9×	102 0.8×	44 0.6×	8 0.1×	16	392
Ali Deihimi Iran	12	493 2.3×	158 1.2×	97 0.7×	38 0.5×	37 0.6×	27	593
Kwangsuk Lee South Korea	7	185 0.9×	82 0.6×	110 0.8×	32 0.4×	9 0.1×	8	335
Xixiu Wu China	10	285 1.3×	176 1.3×	30 0.2×	44 0.6×	14 0.2×	60	466
Li Ji China	11	130 0.6×	42 0.3×	65 0.5×	131 1.7×	19 0.3×	50	381
Shiyang Li United States	9	188 0.9×	121 0.9×	35 0.3×	66 0.9×	10 0.2×	15	350

Countries citing papers authored by Fei Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Fei Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Zhang. A scholar is included among the top collaborators of Fei Zhang 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 Zhang. Fei Zhang 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

Shu, Xiangyang, Lu Gao, Fei Zhang, et al.. (2025). Ultra-short-term wind power forecasting method based on optimized decomposition and deep learning. Energy Conversion and Management X. 28. 101315–101315.

Li, Jierui, et al.. (2025). A novel deep learning-based method for theoretical power fitting of photovoltaic generation. Renewable Energy. 250. 123271–123271. 2 indexed citations

Gong, Wei, et al.. (2025). Structure of human glycoprotein 2 reveals mechanisms underlying filament formation and adaption to proteolytic environment in the digestive tract. PLoS Biology. 23(6). e3003238–e3003238.

Wang, Lu, Bin Yang, Fei Zhang, et al.. (2025). Green and structurally tailored synthesis of g-CNQDs for highly selective dopamine detection. Microchimica Acta. 192(11). 719–719.

Ren, Xiaoying, et al.. (2024). A Novel Convolutional Neural Net Architecture Based on Incorporating Meteorological Variable Inputs into Ultra-Short-Term Photovoltaic Power Forecasting. Sustainability. 16(7). 2786–2786. 7 indexed citations

Yin, Chenglong, et al.. (2024). Research on a Fast Image-Matching Algorithm Based on Nonlinear Filtering. Algorithms. 17(4). 165–165. 1 indexed citations

Li, Wei, et al.. (2024). IDHNet: Ultra‐Short‐Term Wind Power Forecasting With IVMD–DCInformer–HSSA Network. Energy Science & Engineering. 12(12). 5566–5589. 1 indexed citations

Zhang, Yongning, et al.. (2024). A Deep Learning-Based Dual-Scale Hybrid Model for Ultra-Short-Term Photovoltaic Power Forecasting. Sustainability. 16(17). 7340–7340. 2 indexed citations

Ren, Xiaoying, et al.. (2024). A Novel Dual-Channel Temporal Convolutional Network for Photovoltaic Power Forecasting. Energies. 17(3). 698–698. 9 indexed citations

10.

Zhang, Fei, et al.. (2024). LE-YOLO: Lightweight and Efficient Detection Model for Wind Turbine Blade Defects Based on Improved YOLO. IEEE Access. 12. 135985–135998. 6 indexed citations

11.

Zhang, Fei, Xiaoying Ren, & Yongqian Liu. (2024). A Refined Wind Power Forecasting Method with High Temporal Resolution Based on Light Convolutional Neural Network Architecture. Energies. 17(5). 1183–1183. 1 indexed citations

12.

Liu, Mei, et al.. (2023). Research on SVM-Based Bearing Fault Diagnosis Modeling and Multiple Swarm Genetic Algorithm Parameter Identification Method. Mathematics. 11(13). 2864–2864. 13 indexed citations

13.

Ren, Xiaoying, et al.. (2023). Dual-dimension Time-GGAN data augmentation method for improving the performance of deep learning models for PV power forecasting. Energy Reports. 9. 6419–6433. 19 indexed citations

14.

Zhang, Fei, Pengcheng Li, Lu Gao, Yongqian Liu, & Xiaoying Ren. (2021). Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting. Renewable Energy. 169. 129–143. 62 indexed citations

15.

Zhang, Fei, Jing Guo, Jingming Wang, et al.. (2021). Research on the efficiency of single-wire power transmission. Journal of Physics Conference Series. 2121(1). 12010–12010. 2 indexed citations

16.

Bu, Wenshao, et al.. (2020). Neural network inverse system decoupling fuzzy self-tuning proportional–derivative control strategy of a bearingless induction motor. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 235(7). 1113–1124. 4 indexed citations

17.

Li, Xu, et al.. (2020). Research on Bearing Fault Diagnosis of Wind Turbine Gearbox Based on 1DCNN-PSO-SVM. IEEE Access. 8. 192248–192258. 65 indexed citations

18.

Zhang, Fei, et al.. (2018). Multi-physical field coupled analysis of heavy-current irregular buabar. 11. 2021–2028. 3 indexed citations

19.

An, Xueli, Chaoshun Li, & Fei Zhang. (2016). Application of adaptive local iterative filtering and approximate entropy to vibration signal denoising of hydropower unit. Journal of Vibroengineering. 18(7). 4299–4311. 11 indexed citations

20.

An, Xueli, et al.. (2015). Analysis of hydropower unit vibration signals based on variational mode decomposition. Journal of Vibration and Control. 23(12). 1938–1953. 26 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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