Mou‐Fa Guo

1.9k total citations
85 papers, 1.4k citations indexed

About

Mou‐Fa Guo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Mou‐Fa Guo has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 70 papers in Control and Systems Engineering and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Mou‐Fa Guo's work include Power Systems Fault Detection (52 papers), Electrical Fault Detection and Protection (33 papers) and Islanding Detection in Power Systems (18 papers). Mou‐Fa Guo is often cited by papers focused on Power Systems Fault Detection (52 papers), Electrical Fault Detection and Protection (33 papers) and Islanding Detection in Power Systems (18 papers). Mou‐Fa Guo collaborates with scholars based in China, Taiwan and United Kingdom. Mou‐Fa Guo's co-authors include Nien‐Che Yang, Duan-Yu Chen, Wei Gao, Wei-Fan Chen, Jin Tao, Rong‐Jong Wai, Weiqiang Qiu, Qiteng Hong, Wenli Liu and Jian‐Hong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Mou‐Fa Guo

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mou‐Fa Guo China 20 1.1k 1.1k 170 155 110 85 1.4k
Nien‐Che Yang Taiwan 20 960 0.9× 1.1k 1.1× 148 0.9× 89 0.6× 100 0.9× 79 1.4k
Bhavesh R. Bhalja India 28 1.9k 1.8× 2.1k 1.9× 123 0.7× 127 0.8× 46 0.4× 173 2.3k
Flávio B. Costa Brazil 27 1.9k 1.7× 2.2k 2.0× 166 1.0× 137 0.9× 75 0.7× 136 2.5k
Sang-Hee Kang South Korea 22 1.4k 1.3× 1.5k 1.4× 103 0.6× 150 1.0× 55 0.5× 103 1.7k
Hanif Livani United States 20 1.1k 1.0× 1.2k 1.1× 150 0.9× 35 0.2× 73 0.7× 104 1.4k
Mário Oleskovicz Brazil 18 783 0.7× 1.1k 1.0× 109 0.6× 50 0.3× 70 0.6× 140 1.2k
Longfu Luo China 21 650 0.6× 1.1k 1.0× 33 0.2× 181 1.2× 61 0.6× 103 1.4k
A.Y. Chikhani Canada 24 1.7k 1.6× 2.4k 2.2× 250 1.5× 47 0.3× 70 0.6× 65 2.6k
Ming‐Ta Yang Taiwan 18 314 0.3× 1.5k 1.4× 65 0.4× 47 0.3× 106 1.0× 87 1.7k
J. Barros Spain 20 558 0.5× 1.2k 1.1× 60 0.4× 42 0.3× 55 0.5× 66 1.4k

Countries citing papers authored by Mou‐Fa Guo

Since Specialization
Citations

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

Fields of papers citing papers by Mou‐Fa Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mou‐Fa Guo. 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 Mou‐Fa Guo. The network helps show where Mou‐Fa Guo may publish in the future.

Co-authorship network of co-authors of Mou‐Fa Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Mou‐Fa Guo. A scholar is included among the top collaborators of Mou‐Fa Guo 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 Mou‐Fa Guo. Mou‐Fa Guo 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.
Lin, Jianxin, et al.. (2025). Time-adaptive High Impedance Fault Detection Model Based on Cost-sensitive Method. Electric Power Systems Research. 247. 111752–111752.
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Guo, Mou‐Fa, et al.. (2025). A multitask learning-based fault detection approach for high impedance fault in resonant distribution networks. Engineering Applications of Artificial Intelligence. 162. 112439–112439. 1 indexed citations
4.
Guo, Mou‐Fa, et al.. (2025). Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks. Expert Systems with Applications. 268. 126392–126392. 2 indexed citations
5.
Guo, Mou‐Fa, et al.. (2025). Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks. Applied Soft Computing. 171. 112736–112736. 1 indexed citations
6.
Xu, Jianfeng, et al.. (2025). Online Identification Method of Distribution Line-to-Ground Parameters and Grounding Transition Conductance During Arc Suppression. Protection and Control of Modern Power Systems. 10(4). 103–115.
7.
Bai, Hao, et al.. (2024). Explainable incremental learning for high-impedance fault detection in distribution networks. Computers & Electrical Engineering. 122. 110006–110006. 1 indexed citations
8.
Gao, Wei, Wenxiu He, Rong‐Jong Wai, Xiaofeng Zeng, & Mou‐Fa Guo. (2024). High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension. Electric Power Systems Research. 229. 110109–110109. 9 indexed citations
9.
Lin, Jiahao, et al.. (2024). Amplitude-Phase-Characteristics-Based Fault Phase Detection Method for Grounding Fault in Distribution Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 1 indexed citations
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Guo, Mou‐Fa, et al.. (2024). Online Split-Phase Identification of Asymmetric Parameters Between Distribution Lines and Ground for Unbalanced Voltage Compensation Based on Power Electronics. IEEE Transactions on Power Electronics. 39(8). 10067–10078. 3 indexed citations
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Guo, Mou‐Fa, et al.. (2023). Application of semantic segmentation in High-Impedance fault diagnosis combined signal envelope and Hilbert marginal spectrum for resonant distribution networks. Expert Systems with Applications. 231. 120631–120631. 36 indexed citations
15.
Guo, Mou‐Fa, et al.. (2023). Flexible composite suppression method for ground arc in resonant grounding system. High Voltage. 8(6). 1296–1305. 10 indexed citations
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Xu, Jianfeng, et al.. (2023). Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks. International Journal of Electrical Power & Energy Systems. 148. 108950–108950. 3 indexed citations
18.
Cui, Hong, et al.. (2023). Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks. IEEE Transactions on Instrumentation and Measurement. 73. 1–9. 11 indexed citations
19.
Guo, Mou‐Fa, et al.. (2022). Fault Phase Selection Method Based on Single-Phase Flexible Arc Suppression Device for Asymmetric Distribution Networks. IEEE Transactions on Power Delivery. 37(6). 4548–4558. 25 indexed citations
20.
Guo, Mou‐Fa, et al.. (2020). Location of Single-Line-to-Ground Fault Using 1-D Convolutional Neural Network and Waveform Concatenation in Resonant Grounding Distribution Systems. IEEE Transactions on Instrumentation and Measurement. 70. 1–9. 59 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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