Shaoyun Ge

1.7k total citations
82 papers, 1.3k citations indexed

About

Shaoyun Ge is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shaoyun Ge has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 18 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shaoyun Ge's work include Optimal Power Flow Distribution (29 papers), Smart Grid Energy Management (27 papers) and Electric Power System Optimization (19 papers). Shaoyun Ge is often cited by papers focused on Optimal Power Flow Distribution (29 papers), Smart Grid Energy Management (27 papers) and Electric Power System Optimization (19 papers). Shaoyun Ge collaborates with scholars based in China, United Kingdom and Portugal. Shaoyun Ge's co-authors include Hong Liu, Chengshan Wang, Hong Liu, Feng Liang, Liu Hong, Jifeng Li, Xingtang He, Chenghong Gu, Yue Zhou and Xiangyu Kong and has published in prestigious journals such as Applied Energy, IEEE Access and Energy.

In The Last Decade

Shaoyun Ge

79 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaoyun Ge China	20	1.2k	462	353	147	110	82	1.3k
Mahdi Pourakbari‐Kasmaei Finland	27	1.8k 1.5×	699 1.5×	185 0.5×	137 0.9×	147 1.3×	96	2.0k
Antonio Padilha‐Feltrin Brazil	27	2.4k 2.1×	1.4k 2.9×	182 0.5×	250 1.7×	83 0.8×	110	2.6k
Miloš Pantoš Slovenia	18	964 0.8×	268 0.6×	312 0.9×	112 0.8×	62 0.6×	54	1.1k
Ali Ehsan China	13	981 0.8×	527 1.1×	169 0.5×	76 0.5×	82 0.7×	26	1.1k
Shiwei Xia China	28	1.9k 1.6×	928 2.0×	278 0.8×	102 0.7×	318 2.9×	116	2.2k
Feng Xue China	19	1.2k 1.0×	646 1.4×	625 1.8×	163 1.1×	175 1.6×	107	1.6k
Saeed D. Manshadi United States	17	888 0.8×	398 0.9×	162 0.5×	126 0.9×	91 0.8×	50	1.0k
Mohammad Sadegh Sepasian Iran	25	1.6k 1.4×	620 1.3×	120 0.3×	332 2.3×	127 1.2×	60	1.8k
Chin‐Woo Tan United States	16	656 0.6×	210 0.5×	133 0.4×	55 0.4×	114 1.0×	24	876
Chao‐Shun Chen Taiwan	22	988 0.8×	716 1.5×	73 0.2×	92 0.6×	55 0.5×	59	1.2k

Countries citing papers authored by Shaoyun Ge

Since Specialization

Citations

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

Fields of papers citing papers by Shaoyun Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyun Ge

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

Yuan, Bo, Sen-Hui Liu, Shaoyun Ge, & Shuai Liu. (2025). Improved method of non-intrusive load monitoring based on compressed sensing. International Journal of Electrical Power & Energy Systems. 170. 110736–110736. 1 indexed citations

Li, Zihan, Jun Shen, Yongfeng Jia, et al.. (2025). Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease. npj Parkinson s Disease. 11(1). 218–218.

Li, Junkai, Shaoyun Ge, Hong Liu, et al.. (2024). A network-secure two-stage framework for hierarchical energy management of EVs, charging stations, and distribution network. Applied Energy. 371. 123139–123139. 7 indexed citations

Li, Junkai, et al.. (2024). Reliability-based power supply capability evaluation of power distribution networks considering interruptible loads after contingencies. Sustainable Energy Technologies and Assessments. 69. 103876–103876. 2 indexed citations

Zhang, Xihai, Shaoyun Ge, Yue Zhou, & Hong Liu. (2024). Deep Learning Framework for Low-Observable Distribution System State Estimation With Multitimescale Measurements. IEEE Transactions on Industrial Informatics. 20(11). 13273–13283.

Ge, Shaoyun, et al.. (2024). Topological alteration of the brain structural network in Parkinson’s disease with apathy. Brain Research Bulletin. 208. 110899–110899. 3 indexed citations

Li, Zihan, Shaoyun Ge, Jun Shen, et al.. (2024). Reorganization of structural brain networks in Parkinson’s disease with postural instability/gait difficulty. Neuroscience Letters. 827. 137736–137736.

Liu, Hong, et al.. (2023). Synergetic planning method for energy stations, pipeline networks, and demand response. Sustainable Energy Technologies and Assessments. 57. 103207–103207. 3 indexed citations

Ge, Shaoyun, et al.. (2023). Model and observation of the feasible region for PV integration capacity considering Wasserstein-distance-based distributionally robust chance constraints. Applied Energy. 347. 121312–121312. 17 indexed citations

10.

Li, Junkai, et al.. (2023). A network-secure peer-to-peer trading framework for electricity-carbon integrated market among local prosumers. Applied Energy. 335. 120420–120420. 40 indexed citations

11.

Li, Junkai, et al.. (2023). Distribution locational pricing mechanisms for flexible interconnected distribution system with variable renewable energy generation. Applied Energy. 335. 120476–120476. 4 indexed citations

12.

Ge, Shaoyun, Jifeng Li, Xingtang He, & Hong Liu. (2021). Joint energy market design for local integrated energy system service procurement considering demand flexibility. Applied Energy. 297. 117060–117060. 37 indexed citations

13.

Ge, Shaoyun, et al.. (2020). Distributed Peer-to-Peer Day-ahead Trading under Multi-microgrid Congestion Management in Active Distribution Networks. 6. 1–5. 1 indexed citations

14.

Liu, Hong, Yuhan Zhang, Shaoyun Ge, Chenghong Gu, & Furong Li. (2019). Day-Ahead Scheduling for an Electric Vehicle PV-Based Battery Swapping Station Considering the Dual Uncertainties. IEEE Access. 7. 115625–115636. 42 indexed citations

15.

Ge, Shaoyun, et al.. (2016). A Bidding Model for Electric Vehicles to Provide Regulation Services Based on Intelligent Distribution System. 40(9). 2595. 4 indexed citations

16.

Liu, Hong & Shaoyun Ge. (2013). Optimization of TOU price of electricity based on Electric Vehicle orderly charge. 1–5. 14 indexed citations

17.

Ge, Shaoyun, et al.. (2012). A Modified Method for PSC Evaluation of Distribution System. 21. 1–5. 1 indexed citations

18.

Ge, Shaoyun, Haoming Wang, & Hong Liu. (2010). Distribution network planning principles and design models considering distributed generations. 1–6. 1 indexed citations

19.

Ge, Shaoyun. (2004). Models and Methods for Urban Power Distribution Network Planning. 1 indexed citations

20.

Ge, Shaoyun. (2004). Comparative study of connection modes in high-voltage distribution networks. Dianli zidonghua shebei. 1 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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