Daogang Peng

1.1k total citations
131 papers, 651 citations indexed

About

Daogang Peng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daogang Peng has authored 131 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Control and Systems Engineering, 55 papers in Electrical and Electronic Engineering and 22 papers in Artificial Intelligence. Recurrent topics in Daogang Peng's work include Advanced Algorithms and Applications (37 papers), Advanced Sensor and Control Systems (28 papers) and Power Systems and Renewable Energy (15 papers). Daogang Peng is often cited by papers focused on Advanced Algorithms and Applications (37 papers), Advanced Sensor and Control Systems (28 papers) and Power Systems and Renewable Energy (15 papers). Daogang Peng collaborates with scholars based in China, United Kingdom and Bulgaria. Daogang Peng's co-authors include Hao Zhang, Li Jia, Fei Xia, Wei Liu, Chenggang Cui, Yang Li, Feng Li, Liang Li, Feng Li and Xiaokang Wang and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and IEEE Access.

In The Last Decade

Daogang Peng

105 papers receiving 612 citations

Peers

Daogang Peng
Daogang Peng
Citations per year, relative to Daogang Peng Daogang Peng (= 1×) peers Jiajun Wang

Countries citing papers authored by Daogang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Daogang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daogang Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Daogang Peng. A scholar is included among the top collaborators of Daogang Peng 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 Daogang Peng. Daogang Peng 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.
Peng, Daogang, et al.. (2025). Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation. International Journal of Electrical Power & Energy Systems. 167. 110596–110596. 3 indexed citations
2.
Peng, Daogang, et al.. (2025). Inversion of nuclear accident source terms combining Bayesian method with machine learning. Annals of Nuclear Energy. 218. 111418–111418. 1 indexed citations
3.
Shu, Zhenqiu, et al.. (2025). Time-frequency perception guided multi-level contrastive learning for rotating machinery fault diagnosis. Expert Systems with Applications. 293. 128664–128664. 2 indexed citations
4.
Peng, Daogang, et al.. (2025). Proxy-Based Dynamic View Alignment With Cross-View Structure Preservation for Multi-View Clustering. IEEE Transactions on Big Data. 12(2). 554–567.
5.
Peng, Daogang, et al.. (2024). Optimal scheduling of multiple entities in virtual power plant based on the master-slave game. Applied Energy. 376. 124286–124286. 18 indexed citations
6.
Wang, Zidong, et al.. (2024). Dynamic State Estimation for Multi-Machine Power Grids Under Randomly Occurring Cyber-Attacks: A Decentralized Framework. IEEE Transactions on Sustainable Computing. 10(2). 396–407. 1 indexed citations
7.
Ren, Lan, et al.. (2023). Multi-objective optimal dispatching of virtual power plants considering source-load uncertainty in V2G mode. Frontiers in Energy Research. 10. 9 indexed citations
9.
Peng, Daogang, et al.. (2021). A Sensor Fault Diagnosis Method for Gas Turbine Control System Based on EMD and SVM. 682–686. 5 indexed citations
11.
Zhang, Hao, et al.. (2012). Family network automation system based on ZigBee. World Automation Congress. 1–4. 1 indexed citations
12.
Xia, Fei, Hao Zhang, Kai Zhang, & Daogang Peng. (2010). Research of condenser fault diagnosis method based on neural network and information fusion. 22. 709–712. 1 indexed citations
13.
Peng, Daogang. (2009). Study on substation monitoring system based on ZigBee and IEC 61850. Telecommunications for Electric Power System. 1 indexed citations
14.
Peng, Daogang. (2008). Design of ARM-based embedded remote monitoring systems. East China Electric Power. 4 indexed citations
15.
Peng, Daogang. (2007). Controlling Methods of General Purpose Input/Output for Embedded PowerPC Realtime System. Measurement & Control Technology. 2 indexed citations
16.
Peng, Daogang, Hao Zhang, & Ping Yang. (2007). Fuzzy Immune PID Control of Steam Temperature with the Application of Gray Prediction. Journal of Power Engineering. 1 indexed citations
17.
Peng, Daogang. (2006). Models of Computer Network Viruses Spreading. Computer Engineering and Applications Journal. 1 indexed citations
18.
Peng, Daogang, et al.. (2006). Neural Network PID Control with Grey Prediction. Control Engineering of China. 2 indexed citations
19.
Peng, Daogang. (2006). Simulation study on auto-disturbance rejection controller of main steam temperature control system in power station. Journal of North China Electric Power University. 2 indexed citations
20.
Wang, Dongfeng, Pu Han, & Daogang Peng. (2003). Optimal for ball mill pulverizing system and its applications. 4. 2131–2136. 11 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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