Shibo Lu

873 total citations
17 papers, 660 citations indexed

About

Shibo Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Shibo Lu has authored 17 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Shibo Lu's work include Electrical Fault Detection and Protection (10 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Risk and Safety Analysis (4 papers). Shibo Lu is often cited by papers focused on Electrical Fault Detection and Protection (10 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Risk and Safety Analysis (4 papers). Shibo Lu collaborates with scholars based in Australia and United States. Shibo Lu's co-authors include B.T. Phung, Daming Zhang, Tharmakulasingam Sirojan, Animesh Sahoo, Eliathamby Ambikairajah, Hua Chai, Rui Ma, Zeyuan Liu, Miao Li and Leonardo Silvestri and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Energies.

In The Last Decade

Shibo Lu

17 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shibo Lu Australia	11	521	230	132	129	63	17	660
Qiteng Hong United Kingdom	19	954 1.8×	696 3.0×	24 0.2×	49 0.4×	29 0.5×	109	1.1k
Jyh‐Cherng Gu Taiwan	15	836 1.6×	573 2.5×	24 0.2×	48 0.4×	18 0.3×	55	981
Roy Ball United States	10	395 0.8×	142 0.6×	24 0.2×	54 0.4×	31 0.5×	17	636
Tharmakulasingam Sirojan Australia	10	291 0.6×	155 0.7×	12 0.1×	56 0.4×	28 0.4×	17	388
David B. Durocher United States	10	209 0.4×	178 0.8×	23 0.2×	30 0.2×	18 0.3×	62	414
F. Zidani Algeria	11	461 0.9×	368 1.6×	7 0.1×	75 0.6×	20 0.3×	37	742
Patrick W. Kalgren United States	15	314 0.6×	339 1.5×	21 0.2×	83 0.6×	3 0.0×	41	682
Xiaobin Zhang China	18	970 1.9×	728 3.2×	13 0.1×	34 0.3×	12 0.2×	102	1.2k
Mohand Djeziri France	16	181 0.3×	554 2.4×	16 0.1×	59 0.5×	3 0.0×	52	794

Countries citing papers authored by Shibo Lu

Since Specialization

Citations

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

Fields of papers citing papers by Shibo Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibo Lu

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

All Works

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17 of 17 papers shown

Liu, Zeyuan, et al.. (2023). Deep Learning Network Based on Improved Sparrow Search Algorithm Optimization for Rolling Bearing Fault Diagnosis. Mathematics. 11(22). 4634–4634. 13 indexed citations

Silvestri, Leonardo, et al.. (2021). A Novel Optical Sensing Technology for Monitoring Voltage and Current of Overhead Power Lines. IEEE Sensors Journal. 21(23). 26699–26707. 13 indexed citations

Lu, Shibo, Rui Ma, Tharmakulasingam Sirojan, B.T. Phung, & Daming Zhang. (2021). Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data. International Journal of Electrical Power & Energy Systems. 130. 107035–107035. 35 indexed citations

Li, Miao, et al.. (2021). Differential Evolution-Based Overcurrent Protection for DC Microgrids. Energies. 14(16). 5026–5026. 13 indexed citations

Lu, Shibo, Animesh Sahoo, Rui Ma, & B.T. Phung. (2020). DC Series Arc Fault Detection Using Machine Learning in Photovoltaic Systems: Recent Developments and Challenges. 416–421. 17 indexed citations

Lu, Shibo, Hua Chai, Animesh Sahoo, & B.T. Phung. (2020). Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review. IEEE Transactions on Dielectrics and Electrical Insulation. 27(6). 1861–1888. 172 indexed citations

Chai, Hua, et al.. (2019). Comparative Study of Partial Discharge Localization based on UHF Detection Methods. CIRED. 6 indexed citations

Sirojan, Tharmakulasingam, Shibo Lu, B.T. Phung, & Eliathamby Ambikairajah. (2019). Embedded Edge Computing for Real-time Smart Meter Data Analytics. 1–5. 32 indexed citations

Lu, Shibo, et al.. (2019). An Experimental Study of Low-Current DC Series Arc Faults for Condition Monitoring Purpose. CIRED. 1 indexed citations

10.

Lu, Shibo, Tharmakulasingam Sirojan, B.T. Phung, Daming Zhang, & Eliathamby Ambikairajah. (2019). DA-DCGAN: An Effective Methodology for DC Series Arc Fault Diagnosis in Photovoltaic Systems. IEEE Access. 7. 45831–45840. 119 indexed citations

11.

Sirojan, Tharmakulasingam, Shibo Lu, B.T. Phung, Daming Zhang, & Eliathamby Ambikairajah. (2018). Sustainable Deep Learning at Grid Edge for Real-Time High Impedance Fault Detection. IEEE Transactions on Sustainable Computing. 7(2). 346–357. 60 indexed citations

12.

Lu, Shibo, B.T. Phung, & Daming Zhang. (2018). A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems. Renewable and Sustainable Energy Reviews. 89. 88–98. 145 indexed citations

13.

Sirojan, Tharmakulasingam, Shibo Lu, B.T. Phung, Daming Zhang, & Eliathamby Ambikairajah. (2018). High Impedance Fault Detection by Convolutional Deep Neural Network. 19. 1–4. 3 indexed citations

14.

Li, Miao, Shibo Lu, Daming Zhang, & B.T. Phung. (2018). Series Arc Fault Detection in DC Microgrid Using Hybrid Detection Method. 265–270. 2 indexed citations

15.

Lu, Shibo, et al.. (2017). Power quality monitoring of single-wire-earth-return distribution feeders. 1. 404–409. 9 indexed citations

16.

Lu, Shibo, Daming Zhang, & B.T. Phung. (2017). Arcing fault detection in the scenario with renewable energy generation. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 20. 6869–6874. 3 indexed citations

17.

Lu, Shibo, B.T. Phung, & Daming Zhang. (2017). Study on DC series arc fault in photovoltaic systems for condition monitoring purpose. 1–6. 17 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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