Gehao Sheng

2.9k total citations
187 papers, 2.2k citations indexed

About

Gehao Sheng is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Gehao Sheng has authored 187 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Electrical and Electronic Engineering, 89 papers in Materials Chemistry and 51 papers in Control and Systems Engineering. Recurrent topics in Gehao Sheng's work include High voltage insulation and dielectric phenomena (89 papers), Power Transformer Diagnostics and Insulation (58 papers) and Power Systems Fault Detection (19 papers). Gehao Sheng is often cited by papers focused on High voltage insulation and dielectric phenomena (89 papers), Power Transformer Diagnostics and Insulation (58 papers) and Power Systems Fault Detection (19 papers). Gehao Sheng collaborates with scholars based in China, Singapore and United States. Gehao Sheng's co-authors include Xiuchen Jiang, Hui Song, Jiejie Dai, Lingen Luo, Yong Qian, Yadong Liu, Yadong Liu, Hui Song, Zhe Li and Nan Zhou and has published in prestigious journals such as Nano Letters, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Gehao Sheng

167 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gehao Sheng China	25	1.5k	974	622	214	207	187	2.2k
Xiuchen Jiang China	28	2.4k 1.6×	1.2k 1.2×	1.1k 1.7×	313 1.5×	230 1.1×	325	3.4k
Jasronita Jasni Malaysia	22	1.3k 0.9×	598 0.6×	361 0.6×	159 0.7×	242 1.2×	169	2.0k
Yong–June Shin South Korea	26	1.8k 1.2×	233 0.2×	1.1k 1.7×	189 0.9×	136 0.7×	127	2.3k
Chengke Zhou United Kingdom	27	3.4k 2.3×	1.3k 1.3×	1.1k 1.8×	200 0.9×	70 0.3×	130	4.1k
Mehdi Vakilian Iran	23	2.0k 1.3×	673 0.7×	928 1.5×	203 0.9×	60 0.3×	158	2.4k
Fabio Viola Italy	28	1.9k 1.3×	455 0.5×	414 0.7×	229 1.1×	243 1.2×	187	2.6k
Zhen Liu China	23	803 0.5×	150 0.2×	427 0.7×	162 0.8×	265 1.3×	179	1.8k
Behrooz Vahidi Iran	39	4.3k 2.9×	468 0.5×	2.9k 4.7×	397 1.9×	344 1.7×	300	5.5k
Ahmed Abu‐Siada Australia	43	5.6k 3.8×	2.3k 2.3×	2.1k 3.4×	817 3.8×	191 0.9×	310	6.4k
Abhisek Ukil Singapore	39	4.0k 2.7×	194 0.2×	2.7k 4.4×	303 1.4×	247 1.2×	217	5.3k

Countries citing papers authored by Gehao Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Gehao Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gehao Sheng

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

All Works

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20 of 20 papers shown

Chen, Jun, et al.. (2025). A novel method for power transformer fault diagnosis considering imbalanced data samples. Frontiers in Energy Research. 12.

Qian, Yong, Ren Zhang, Hui Wang, et al.. (2025). Failure mechanisms of epoxy-casting current transformer–air–barrier insulation system under harsh operating conditions: from micro to Macro. Engineering Failure Analysis. 181. 109908–109908. 1 indexed citations

Zhou, Nan, Lingen Luo, Gehao Sheng, & Xiuchen Jiang. (2024). Power Transformers Insulation Faults Identification With DGA: A Molecular Dynamics-Assisted Method. IEEE Transactions on Dielectrics and Electrical Insulation. 31(6). 3479–3488. 2 indexed citations

Sheng, Gehao, et al.. (2024). Experimental Study of Oil-Immersed Transformer Temperature Features Under Incipient Turn-to-Turn Short-Circuit Fault. 588–591.

Qian, Yong, Ren Zhang, G. Hu, et al.. (2024). Surface aging mechanism and insulation degradation causes of epoxy/anhydride/SiO2 composite materials for current transformers in switchgear. Engineering Failure Analysis. 169. 109184–109184. 2 indexed citations

Zhang, Lijing, et al.. (2024). Incipient interturn fault detection for ONAN power transformers using electrothermal characteristic fusion analysis. IET Generation Transmission & Distribution. 18(9). 1871–1884. 1 indexed citations

Zhang, Lijing, et al.. (2023). Improving IEC thermal model for oil natural air natural transformers using optimised parameters based on dynamic simulation. High Voltage. 9(1). 217–229. 9 indexed citations

Qian, Yong, et al.. (2023). Surface Discharge Characteristics and Numerical Simulation in C4F7N/CO2 Mixture. Applied Sciences. 13(3). 1409–1409. 2 indexed citations

Song, Hui, et al.. (2022). High‐time‐resolution imaging of transient discharge processes without fixed triggering. IET Science Measurement & Technology. 16(6). 377–387. 1 indexed citations

10.

He, Zhimin, et al.. (2020). A Method for Separating Multisource Partial Discharges in a Substation Based on Selected Bispectra of UHF Signals. Applied Sciences. 10(11). 3751–3751. 5 indexed citations

11.

Lin, Jun, Gehao Sheng, Yingjie Yan, Jiejie Dai, & Xiuchen Jiang. (2018). Prediction of Dissolved Gas Concentrations in Transformer Oil Based on the KPCA-FFOA-GRNN Model. Energies. 11(1). 225–225. 31 indexed citations

12.

Lin, Jun, Lei Su, Yingjie Yan, et al.. (2018). Prediction Method for Power Transformer Running State Based on LSTM_DBN Network. Energies. 11(7). 1880–1880. 36 indexed citations

13.

Zhang, Yue, et al.. (2018). Research on insulation defect diagnosis method of XLPE AC cable based on partial discharge image feature. 662–665. 3 indexed citations

14.

Yan, Yingjie, Gehao Sheng, Robert C. Qiu, & Xiuchen Jiang. (2017). Big Data Modeling and Analysis for Power Transmission Equipment: A Novel Random Matrix Theoretical Approach. IEEE Access. 6. 7148–7156. 23 indexed citations

15.

Sheng, Gehao, Guangyu Tu, & Yi Luo. (2014). Application of Artificial Intelligence Techniques in Reactive Power/Voltage Control of Power System. 1(1). 5–9. 3 indexed citations

16.

Gao, Qiang, et al.. (2013). Development of Distributed On-line Monitoring System for Dielectric Loss Tangent of High Voltage Capacitive Apparatus. PRZEGLĄD ELEKTROTECHNICZNY. 1 indexed citations

17.

Liu, Yadong, Gehao Sheng, Zhimin He, & Xiuchen Jiang. (2012). A Traveling Wave Fault Location Method for Earth Faults Based on Mode Propagation Time Delays of Multi-measuring Points. PRZEGLĄD ELEKTROTECHNICZNY. 254–258. 11 indexed citations

18.

Sheng, Gehao, et al.. (2011). Risk assessment of transmission dynamic line rating based on Monte Carlo. 398–402. 14 indexed citations

19.

Jiang, Xiuchen, et al.. (2008). A new study in maintenance for transmission lines. WSEAS Transactions on Circuits and Systems archive. 7(5). 392–401. 2 indexed citations

20.

Jiang, Xiuchen, et al.. (2008). Design and calculation method for dynamic increasing transmission line capacity. WSEAS Transactions on Circuits and Systems archive. 7(5). 348–357. 15 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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