Pingliang Zeng

1.9k total citations
138 papers, 1.3k citations indexed

About

Pingliang Zeng is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Pingliang Zeng has authored 138 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Electrical and Electronic Engineering, 49 papers in Control and Systems Engineering and 23 papers in Energy Engineering and Power Technology. Recurrent topics in Pingliang Zeng's work include Microgrid Control and Optimization (37 papers), Electric Power System Optimization (34 papers) and Smart Grid Energy Management (33 papers). Pingliang Zeng is often cited by papers focused on Microgrid Control and Optimization (37 papers), Electric Power System Optimization (34 papers) and Smart Grid Energy Management (33 papers). Pingliang Zeng collaborates with scholars based in China, United Kingdom and United States. Pingliang Zeng's co-authors include Haozhong Cheng, Liangzhong Yao, Zhi Wu, Xiaoping Zhang, Haijun Xing, Yi Zhang, Jia Liu, Haozhong Cheng, Yunfei Mu and Hongjie Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Pingliang Zeng

131 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingliang Zeng China	19	1.2k	448	148	130	115	138	1.3k
Geev Mokryani United Kingdom	23	1.5k 1.3×	872 1.9×	120 0.8×	105 0.8×	160 1.4×	73	1.6k
Chengjin Ye China	18	865 0.7×	358 0.8×	118 0.8×	128 1.0×	85 0.7×	66	1.1k
Abbas Ketabi Iran	25	1.2k 1.0×	751 1.7×	101 0.7×	77 0.6×	179 1.6×	90	1.5k
Muhammad Murtadha Othman Malaysia	18	830 0.7×	474 1.1×	84 0.6×	183 1.4×	108 0.9×	137	1.0k
Jan Desmet Belgium	18	1.2k 1.1×	667 1.5×	126 0.9×	115 0.9×	100 0.9×	145	1.5k
Samuele Grillo Italy	18	1.1k 1.0×	762 1.7×	251 1.7×	79 0.6×	123 1.1×	99	1.3k
Georgios Fotis Greece	20	784 0.7×	352 0.8×	85 0.6×	83 0.6×	170 1.5×	66	1.1k
Asghar Akbari Foroud Iran	22	1.2k 1.0×	502 1.1×	48 0.3×	163 1.3×	158 1.4×	107	1.4k
R. K. Saket India	21	908 0.8×	508 1.1×	144 1.0×	122 0.9×	117 1.0×	114	1.3k
Mart A. M. M. van der Meijden Netherlands	19	1.2k 1.1×	686 1.5×	84 0.6×	134 1.0×	214 1.9×	114	1.5k

Countries citing papers authored by Pingliang Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Pingliang Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingliang Zeng

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

Zeng, Pingliang, et al.. (2025). Short-term wind power forecasting methods based on machine learning: A review and case study. Energy Reports. 14. 3753–3782.

Zeng, Pingliang, et al.. (2025). A distributionally collaborated planning of energy storage, transmission and distribution systems considering long- and short-term energy storage characteristics. Journal of Energy Storage. 120. 116396–116396. 3 indexed citations

Zeng, Pingliang, et al.. (2025). A physical model and data-driven synergy method for short-term photovoltaic power prediction. Renewable Energy. 256. 124239–124239.

Liu, Jia, et al.. (2024). Coordinated DSO-VPP operation framework with energy and reserve integrated from shared energy storage: A mixed game method. Applied Energy. 379. 125006–125006. 5 indexed citations

Zeng, Pingliang, et al.. (2024). DCM_MCCKF: A non-Gaussian state estimator with adaptive kernel size based on CS divergence. Neurocomputing. 617. 128809–128809. 2 indexed citations

Xiang, Yue, et al.. (2024). A Carbon Emission Allowance Bargaining Model for Energy Transactions Among Prosumers. IEEE Transactions on Power Systems. 39(4). 6095–6098. 17 indexed citations

Zeng, Pingliang, et al.. (2024). A two-stage distributed stochastic planning method for source-grid-load-storage flexibility resources considering flexible ramp capacity. International Journal of Electrical Power & Energy Systems. 160. 110134–110134. 4 indexed citations

Zeng, Pingliang, et al.. (2024). Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation. Sustainability. 16(2). 902–902. 2 indexed citations

Chen, Le, et al.. (2024). A Method for Distribution Network Topology Identification Based on Mutual Information and DNN. 194–198.

10.

Bai, Xiaoming, et al.. (2024). Gaussian-Cauchy Mixture Kernel Function Based Maximum Correntropy Criterion Kalman Filter for Linear Non-Gaussian Systems. IEEE Transactions on Signal Processing. 73. 158–172. 7 indexed citations

11.

Zeng, Pingliang, et al.. (2023). Distributed coordinated planning for cross-border energy system: An ADMM-based decentralized approach. Electric Power Systems Research. 221. 109441–109441. 9 indexed citations

12.

Wu, Qiuxuan, et al.. (2023). A Laser Data Compensation Algorithm Based on Indoor Depth Map Enhancement. Electronics. 12(12). 2716–2716.

13.

Hang, Lijun, Sai Tang, Yandong Chen, et al.. (2023). Smart Self-Driving Crosstalk Suppression Gate Driver for SiC MOSFETs Based on Level Shifter. IEEE Transactions on Industry Applications. 60(2). 3482–3491. 7 indexed citations

14.

Zeng, Pingliang, et al.. (2023). The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA). Lecture notes in electrical engineering. 2 indexed citations

15.

Wang, Zixuan, Peng Li, Yue Zhou, et al.. (2023). Coordinated configuration strategy of multi-energy systems based on capacity-energy-information sharing. Energy. 277. 127699–127699. 8 indexed citations

16.

Ding, Qian, et al.. (2020). A planning method for the placement and sizing of distributed energy storage system considering the uncertainty of renewable energy sources. Energy Storage Science and Technology. 9(1). 162. 5 indexed citations

17.

Jiang, Liping, Caixia Wang, Pingliang Zeng, et al.. (2019). Variable-Generation Integration in China: An Update. IEEE Power and Energy Magazine. 17(6). 99–107. 3 indexed citations

18.

Fang, Sidun, et al.. (2016). Reviews on stochastic optimal power flow and its application. 36(11). 10. 1 indexed citations

19.

Teng, Fei, Yunfei Mu, Hongjie Jia, et al.. (2016). Challenges on primary frequency control and potential solution from EVs in the future GB electricity system. Applied Energy. 194. 353–362. 70 indexed citations

20.

Wang, Xiuli, et al.. (2015). Coordinated Planning of Wind Farm Integration and Transmission Network Based on Multi-Scenario. Electric Power Construction. 36(10). 46. 4 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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