Shuying Lai

1.9k total citations
60 papers, 1.3k citations indexed

About

Shuying Lai is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Shuying Lai has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 17 papers in Automotive Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in Shuying Lai's work include Smart Grid Energy Management (32 papers), Electric Vehicles and Infrastructure (28 papers) and Microgrid Control and Optimization (13 papers). Shuying Lai is often cited by papers focused on Smart Grid Energy Management (32 papers), Electric Vehicles and Infrastructure (28 papers) and Microgrid Control and Optimization (13 papers). Shuying Lai collaborates with scholars based in Australia, China and Hong Kong. Shuying Lai's co-authors include Yuechuan Tao, Jing Qiu, Junhua Zhao, Xianzhuo Sun, Xian Zhang, Guibin Wang, Yusheng Xue, Yunqi Wang, Huichuan Liu and Guozhong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Shuying Lai

56 papers receiving 1.2k citations

Peers

Shuying Lai
Pio Lombardi Germany
Yuechuan Tao Australia
Neal Wade United Kingdom
Nandha Kumar Kandasamy Singapore
Feng Xue China
Vojtěch Blažek Czechia
Lukáš Prokop Czechia
Davide Poli Italy
Hafiz Mudassir Munir Pakistan
Shiwei Xia China
Pio Lombardi Germany
Shuying Lai
Citations per year, relative to Shuying Lai Shuying Lai (= 1×) peers Pio Lombardi

Countries citing papers authored by Shuying Lai

Since Specialization
Citations

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

Fields of papers citing papers by Shuying Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuying Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Shuying Lai. A scholar is included among the top collaborators of Shuying Lai 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 Shuying Lai. Shuying Lai 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.
Tao, Yuechuan, Jing Qiu, Shuying Lai, et al.. (2025). Human-Machine Bidding Strategy for Distributed Energy Resources Based on Multiagent Inverse Reinforcement Learning. IEEE Transactions on Industrial Informatics. 21(11). 8463–8474.
2.
Lai, Shuying, Zhao Yang Dong, Hongming Yang, et al.. (2025). Renewable Energy Following Strategy via Quantified Aggregated Heterogeneous Electric Vehicle Flexibility. IEEE Transactions on Smart Grid. 16(5). 3873–3886.
3.
Tao, Yuechuan, Zhao Yang Dong, Jing Qiu, et al.. (2025). Human-in-the-Loop Reinforcement Learning Method for Volt/Var Control in Active Distribution Network With Safe Operation Mechanism. IEEE Transactions on Sustainable Energy. 17(1). 498–512.
4.
Dong, Zhao Yang, Yuechuan Tao, Shuying Lai, Tianci Wang, & Zhijun Zhang. (2025). Powering Future Advancements and Applications of Battery Energy Storage Systems Across Different Scales. 2(1). 1–1. 9 indexed citations
5.
6.
Lai, Shuying, Zhao Yang Dong, Yuechuan Tao, et al.. (2024). Bargaining Game-Based Pricing for Electric Vehicle Roaming Charging Services. IEEE Transactions on Transportation Electrification. 11(2). 5419–5433.
7.
Sun, Xianzhuo, Wen Zhang, Jing Qiu, et al.. (2024). Enhancing Integrated Gas and Electricity Networks Operation With Coupling Attention-Graph Convolutional Network Under Renewable Energy Variability. IEEE Transactions on Network Science and Engineering. 12(1). 277–289. 5 indexed citations
8.
Lai, Shuying, Zhao Yang Dong, Jing Qiu, et al.. (2024). Competitive Pricing Strategy for the Wireless Charging Lane Operator Considering Range Anxiety of Electric Vehicle Users. IEEE Transactions on Intelligent Transportation Systems. 26(2). 2187–2201. 2 indexed citations
9.
Liu, Guozhong, et al.. (2023). Data-Driven Carbon Footprint Management of Electric Vehicles and Emission Abatement in Electricity Networks. IEEE Transactions on Sustainable Energy. 15(1). 95–108. 21 indexed citations
10.
Tao, Yuechuan, Jing Qiu, Shuying Lai, Xianzhuo Sun, & Junhua Zhao. (2022). Market-Based Resource Allocation of Distributed Cloud Computing Services: Virtual Energy Storage Systems. IEEE Internet of Things Journal. 9(22). 22811–22821. 11 indexed citations
11.
Tao, Yuechuan, Jing Qiu, Shuying Lai, et al.. (2022). Data-Driven Matching Protocol for Vehicle-to-Vehicle Energy Management Considering Privacy Preservation. IEEE Transactions on Transportation Electrification. 9(1). 968–980. 17 indexed citations
12.
Liu, Guozhong, Shuying Lai, Jing Qiu, Yuechuan Tao, & Junhua Zhao. (2022). Credit-based Peer-to-Peer energy sharing mechanism under the distributed negotiation framework. International Journal of Electrical Power & Energy Systems. 144. 108598–108598. 6 indexed citations
13.
Tao, Yuechuan, Jing Qiu, Shuying Lai, Xianzhuo Sun, & Junhua Zhao. (2022). Adaptive Integrated Planning of Electricity Networks and Fast Charging Stations Under Electric Vehicle Diffusion. IEEE Transactions on Power Systems. 38(1). 499–513. 43 indexed citations
14.
Lai, Shuying, et al.. (2021). Portfolio management strategy for power‐to‐gas storage‐driven natural gas power generation. International Transactions on Electrical Energy Systems. 31(4). 2 indexed citations
15.
Tao, Yuechuan, Jing Qiu, & Shuying Lai. (2021). A Hybrid Cloud and Edge Control Strategy for Demand Responses Using Deep Reinforcement Learning and Transfer Learning. IEEE Transactions on Cloud Computing. 10(1). 56–71. 32 indexed citations
16.
Tao, Yuechuan, Jing Qiu, & Shuying Lai. (2021). Deep Reinforcement Learning Based Bidding Strategy for EVAs in Local Energy Market Considering Information Asymmetry. IEEE Transactions on Industrial Informatics. 18(6). 3831–3842. 40 indexed citations
17.
Tao, Yuechuan, et al.. (2021). Deep reinforcement learning based home energy management system with devices operational dependencies. International Journal of Machine Learning and Cybernetics. 12(6). 1687–1703. 26 indexed citations
18.
Liu, Guozhong, et al.. (2021). Coordinated management of aggregated electric vehicles and thermostatically controlled loads in hierarchical energy systems. International Journal of Electrical Power & Energy Systems. 131. 107090–107090. 27 indexed citations
19.
Tao, Yuechuan, Jing Qiu, Shuying Lai, Junhua Zhao, & Yusheng Xue. (2020). Carbon-Oriented Electricity Network Planning and Transformation. IEEE Transactions on Power Systems. 36(2). 1034–1048. 81 indexed citations
20.
Tao, Yuechuan, Jing Qiu, Shuying Lai, Xian Zhang, & Guibin Wang. (2020). Collaborative Planning for Electricity Distribution Network and Transportation System Considering Hydrogen Fuel Cell Vehicles. IEEE Transactions on Transportation Electrification. 6(3). 1211–1225. 96 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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