Guibin Wang

4.0k total citations · 1 hit paper
90 papers, 3.1k citations indexed

About

Guibin Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Guibin Wang has authored 90 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 31 papers in Control and Systems Engineering and 19 papers in Automotive Engineering. Recurrent topics in Guibin Wang's work include Electric Vehicles and Infrastructure (26 papers), Microgrid Control and Optimization (19 papers) and Smart Grid Energy Management (19 papers). Guibin Wang is often cited by papers focused on Electric Vehicles and Infrastructure (26 papers), Microgrid Control and Optimization (19 papers) and Smart Grid Energy Management (19 papers). Guibin Wang collaborates with scholars based in China, Australia and Hong Kong. Guibin Wang's co-authors include Huaizhi Wang, Jianchun Peng, Yitao Liu, Hui Jiang, Jing Qiu, Xian Zhang, Gangqiang Li, Fushuan Wen, Zhao Xu and Kit Po Wong and has published in prestigious journals such as Nature Communications, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Guibin Wang

86 papers receiving 3.0k citations

Hit Papers

Deep learning based ensemble approach for probabilistic w... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Guibin Wang
Mohammad E. Khodayar United States
Ameena Saad Al‐Sumaiti United Arab Emirates
Madeleine Gibescu Netherlands
Tao Cai China
Hui Jiang China
Mohammad E. Khodayar United States
Guibin Wang
Citations per year, relative to Guibin Wang Guibin Wang (= 1×) peers Mohammad E. Khodayar

Countries citing papers authored by Guibin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guibin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guibin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guibin Wang. A scholar is included among the top collaborators of Guibin Wang 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 Guibin Wang. Guibin Wang 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.
Sayed, Ahmed Rabee, Khaled Al Jaafari, Xian Zhang, et al.. (2025). Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model. International Journal of Electrical Power & Energy Systems. 167. 110621–110621. 2 indexed citations
3.
Xiang, Wei, Ka Wing Chan, Khaled Al Jaafari, et al.. (2025). Real-Time Resilient Power System Operation With Defender–Attacker Soft Actor-Critic Reinforcement Learning. IEEE Transactions on Industrial Informatics. 22(2). 684–695.
4.
Wang, Guibin, et al.. (2024). Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power. IET Renewable Power Generation. 18(16). 4084–4096. 3 indexed citations
5.
Zhang, Xian, et al.. (2024). Data-Driven Stochastic-Robust Planning for Resilient Hydrogen-Electricity System With Progressive Hedging Decoupling. IEEE Transactions on Sustainable Energy. 16(3). 1545–1561. 2 indexed citations
6.
Xiang, Wei, et al.. (2024). Online Voltage Control Strategy: Multi-Mode Based Data-Driven Approach for Active Distribution Networks. IEEE Transactions on Industry Applications. 61(1). 1569–1580. 1 indexed citations
7.
Zhang, Xian, Yue Yin, Yong Lv, et al.. (2024). A Low-Carbon Planning Strategy for Integrated Energy System and Hydrogen Refueling Stations With the Retirement of Oil Stations. IEEE Transactions on Industry Applications. 60(6). 8284–8294. 1 indexed citations
8.
Xiang, Wei, Ka Wing Chan, Ting Wu, et al.. (2023). Wasserstein distance-based expansion planning for integrated energy system considering hydrogen fuel cell vehicles. Energy. 272. 127011–127011. 23 indexed citations
9.
Sayed, Ahmed Rabee, et al.. (2023). Online Operational Decision-Making for Integrated Electric-Gas Systems With Safe Reinforcement Learning. IEEE Transactions on Power Systems. 39(2). 2893–2906. 17 indexed citations
10.
Chai, Songjian, et al.. (2023). STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15018–15034. 12 indexed citations
11.
Borozan, Stefan, et al.. (2023). Battery Swapping Dispatch for Self-Sustained Highway Energy System Based on Spatiotemporal Deep-Learning Traffic Flow Prediction. IEEE Transactions on Industry Applications. 60(1). 1058–1070. 4 indexed citations
12.
Sayed, Ahmed Rabee, Xian Zhang, Guibin Wang, Cheng Wang, & Jing Qiu. (2023). Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning. IEEE Transactions on Power Systems. 39(1). 1739–1751. 15 indexed citations
13.
Liu, Junwei, K. H. Loo, Guibin Wang, Xian Zhang, & Ting Wu. (2023). Asymmetric modulation of bridgeless single‐stage full‐bridge AC–DC converter for active power factor correction and zero voltage switching. IET Power Electronics. 16(6). 1014–1027. 4 indexed citations
14.
Chai, Songjian, et al.. (2022). Quantifying the Uncertainty in Long-Term Traffic Prediction Based on PI-ConvLSTM Network. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20429–20441. 20 indexed citations
15.
Wu, Ting, Wei Xiang, Xian Zhang, et al.. (2022). Carbon-Oriented Expansion Planning of Integrated Electricity-Natural Gas Systems With EV Fast-Charging Stations. IEEE Transactions on Transportation Electrification. 8(2). 2797–2809. 55 indexed citations
16.
Chai, Songjian, et al.. (2021). A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction. IEEE Access. 9. 11264–11271. 64 indexed citations
17.
Lu, Xi, Ka Wing Chan, Shiwei Xia, et al.. (2019). A Model to Mitigate Forecast Uncertainties in Distribution Systems Using the Temporal Flexibility of EVAs. IEEE Transactions on Power Systems. 35(3). 2212–2221. 50 indexed citations
18.
Wang, Guibin, Xiaoli Zhang, Liyan Zhao, et al.. (2011). Drug-related cues exacerbate decision making and increase craving in heroin addicts at different abstinence times. Psychopharmacology. 221(4). 701–708. 34 indexed citations
19.
Wang, Guibin. (2010). Discussion on zoning method of structural homogeneity of rock mass in Beishan of Gansu province. Rock and Soil Mechanics. 5 indexed citations
20.
Yang, Chunhe, et al.. (2006). ESTIMATION OF MEAN TRACE LENGTH AND TRACE MIDPOINT DENSITY OF ROCK MASS JOINTS. Chinese journal of rock mechanics and engineering. 25(12). 2475–2480. 8 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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