Shibin Gao

2.5k total citations
113 papers, 1.8k citations indexed

About

Shibin Gao is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Shibin Gao has authored 113 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 45 papers in Industrial and Manufacturing Engineering and 40 papers in Mechanical Engineering. Recurrent topics in Shibin Gao's work include Railway Systems and Energy Efficiency (41 papers), Electrical Contact Performance and Analysis (31 papers) and Railway Engineering and Dynamics (22 papers). Shibin Gao is often cited by papers focused on Railway Systems and Energy Efficiency (41 papers), Electrical Contact Performance and Analysis (31 papers) and Railway Engineering and Dynamics (22 papers). Shibin Gao collaborates with scholars based in China, United States and Italy. Shibin Gao's co-authors include Zhigang Liu, Xiaoguang Wei, Long Yu, Zhengyou He, Haitao Hu, Dongkai Zhang, Yang Song, Zhengyou He, Lijun Zhou and Gaoqiang Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Shibin Gao

108 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shibin Gao China 25 868 660 498 461 175 113 1.8k
Shibin Gao China 21 948 1.1× 466 0.7× 586 1.2× 851 1.8× 151 0.9× 50 1.6k
Guangrui Wen China 25 267 0.3× 1.1k 1.6× 1.3k 2.7× 344 0.7× 211 1.2× 136 2.3k
Dusmanta Kumar Mohanta India 31 2.1k 2.5× 1.8k 2.8× 257 0.5× 309 0.7× 205 1.2× 165 3.1k
Minh‐Quang Tran Taiwan 19 632 0.7× 552 0.8× 487 1.0× 295 0.6× 76 0.4× 35 1.5k
Antoine Tahan Canada 26 523 0.6× 812 1.2× 1.2k 2.3× 534 1.2× 375 2.1× 177 2.4k
Bo Li China 19 447 0.5× 455 0.7× 740 1.5× 137 0.3× 184 1.1× 195 1.6k
Shuai Zhao China 22 1.1k 1.2× 658 1.0× 323 0.6× 111 0.2× 59 0.3× 80 2.1k
Zhengyou He China 25 1.8k 2.0× 555 0.8× 327 0.7× 193 0.4× 47 0.3× 112 2.1k
A. Testa Italy 29 2.8k 3.3× 1.1k 1.6× 193 0.4× 99 0.2× 121 0.7× 203 3.2k

Countries citing papers authored by Shibin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shibin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shibin Gao. A scholar is included among the top collaborators of Shibin Gao 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 Shibin Gao. Shibin Gao 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.
Quan, Wei, et al.. (2025). Visual Anomaly Detection Through the Joint Entropy-Energy Optimization for High-Speed Railway Traction Substation. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
2.
Gao, Shibin, et al.. (2024). Impactability and susceptibility assessment based on D-S evidence theory for analyzing the risk of fault propagation among catenary components. Reliability Engineering & System Safety. 251. 110389–110389. 4 indexed citations
3.
Gao, Shibin, et al.. (2024). A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 2 indexed citations
4.
Gao, Shibin, et al.. (2024). GCN for Identifying Critical Branches Based on Unlabeled Power Outage Data. IEEE Transactions on Power Systems. 39(6). 7441–7444. 2 indexed citations
5.
Hu, Haitao, et al.. (2023). Joint Sizing Optimization Method of PVs, Hybrid Energy Storage Systems, and Power Flow Controllers for Flexible Traction Substations in Electric Railways. IEEE Transactions on Sustainable Energy. 15(2). 1210–1223. 9 indexed citations
6.
Quan, Wei, et al.. (2023). A Novel Arcing Detection Model of Pantograph–Catenary for High-Speed Train in Complex Scenes. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 13 indexed citations
7.
Zhou, Lijun, et al.. (2023). Numerical Model for Eddy-Current Loss of Wound Core in Single-Phase Transformer. IEEE Transactions on Transportation Electrification. 10(1). 150–162. 4 indexed citations
8.
Quan, Shengwei, et al.. (2023). Evaluation Method of Surface Hydrophobicity Class of On-Board Cable Terminal Based on MSRCR-SPA-ResNet. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 4 indexed citations
9.
Gao, Shibin, Xiaoguang Wei, Jian Shi, et al.. (2022). A Shareholding-Based Resource Sharing Mechanism for Promoting Energy Equity in Peer-to-Peer Energy Trading. IEEE Transactions on Power Systems. 38(6). 5113–5127. 10 indexed citations
10.
Gao, Shibin, et al.. (2022). Bilevel Model for Protection-Branch Measurements-Based Topology Attack Against DC and AC State Estimations. IEEE Systems Journal. 16(4). 5369–5379. 5 indexed citations
11.
Gao, Shibin, et al.. (2021). Eddy-Current Losses Estimation on Nonlinear Magnetic Property in Single-Phase Wound Core. IEEE Transactions on Magnetics. 58(10). 1–5. 5 indexed citations
12.
Gao, Shibin, et al.. (2020). A Homogeneous Model for Estimating Eddy-Current Losses in Wound Core of Multilevel-Circle Section. IEEE Transactions on Transportation Electrification. 6(2). 752–761. 10 indexed citations
13.
Zhou, Lijun, et al.. (2020). Detection of Winding Faults Using Image Features and Binary Tree Support Vector Machine for Autotransformer. IEEE Transactions on Transportation Electrification. 6(2). 625–634. 31 indexed citations
14.
Zhong, Junping, Zhigang Liu, Cheng Yang, et al.. (2020). Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways. IEEE Transactions on Intelligent Transportation Systems. 23(2). 1109–1120. 53 indexed citations
15.
Gao, Shibin, et al.. (2019). Novel Analytical Formulas for Eddy-Current Losses in Semicircle-Section Wound Core of Transformer. IEEE Transactions on Magnetics. 55(11). 1–12. 5 indexed citations
16.
Lin, Sheng, et al.. (2019). A fault prediction method for catenary of high-speed rails based on meteorological conditions. Journal of Modern Transportation. 27(3). 211–221. 6 indexed citations
17.
Gao, Shibin. (2013). Review of Research Development of Pantograph-catenary Arc Model and Electrical Characteristics. Journal of the China Railway Society. 10 indexed citations
18.
Li, Changqing, et al.. (2013). Research on the Power System Fault Classification Based on HHT and SVM Using Wide-area Information. Energy and Power Engineering. 5(4). 138–142. 9 indexed citations
19.
Gao, Shibin. (2006). Study on the Key Problems of the Power Supply Automation System for Railway Passenger Dedicated Lines. Journal of the China Railway Society. 1 indexed citations
20.
Gao, Shibin. (2003). STUDY ON DIFFERENTIAL PROTECTION FOR THREE PHASE TO FOUR PHASE TRANSFORMER. Power System Technology.

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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