Anbo Meng

2.2k total citations
58 papers, 1.7k citations indexed

About

Anbo Meng is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Anbo Meng has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 22 papers in Control and Systems Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Anbo Meng's work include Energy Load and Power Forecasting (29 papers), Electric Power System Optimization (22 papers) and Optimal Power Flow Distribution (12 papers). Anbo Meng is often cited by papers focused on Energy Load and Power Forecasting (29 papers), Electric Power System Optimization (22 papers) and Optimal Power Flow Distribution (12 papers). Anbo Meng collaborates with scholars based in China, Canada and United Kingdom. Anbo Meng's co-authors include Hao Yin, Sizhe Chen, Zuhong Ou, Hao Yin, Yucheng Chen, Xiangang Peng, Jingmin Fan, Shun Chen, Peng Wang and Peng Mei and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Anbo Meng

51 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anbo Meng China	21	1.3k	541	282	175	142	58	1.7k
Hao Yin China	26	1.8k 1.3×	473 0.9×	255 0.9×	145 0.8×	131 0.9×	112	2.4k
S.J.P.S. Mariano Portugal	25	1.6k 1.2×	472 0.9×	293 1.0×	214 1.2×	106 0.7×	122	2.1k
Hao Quan China	18	1.5k 1.1×	662 1.2×	261 0.9×	312 1.8×	98 0.7×	54	1.9k
Hui Jiang China	22	1.6k 1.2×	654 1.2×	579 2.1×	142 0.8×	136 1.0×	94	2.2k
Oveis Abedinia Iran	14	798 0.6×	321 0.6×	210 0.7×	135 0.8×	53 0.4×	17	1.2k
Abdollah Kavousi‐Fard Iran	31	2.2k 1.7×	402 0.7×	1.2k 4.2×	222 1.3×	128 0.9×	61	2.8k
Jianchun Peng China	24	2.5k 1.9×	985 1.8×	831 2.9×	226 1.3×	196 1.4×	81	3.1k
Linfei Yin China	25	1.2k 0.9×	244 0.5×	684 2.4×	95 0.5×	213 1.5×	135	1.8k
H.M.I. Pousinho Portugal	28	1.9k 1.4×	546 1.0×	317 1.1×	261 1.5×	168 1.2×	55	2.3k

Countries citing papers authored by Anbo Meng

Since Specialization

Citations

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

Fields of papers citing papers by Anbo Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anbo Meng

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

Meng, Anbo, Zheng Lin Tan, Honghui Liu, et al.. (2025). A bilateral secure economic dispatch model for wind-penetrated power systems using classification iteration optimization. Renewable Energy. 249. 123201–123201. 2 indexed citations

Yin, Hao, et al.. (2025). Few-shot wind power prediction using sample transfer and imbalanced evolved neural network. Energy. 328. 136375–136375.

Meng, Anbo, et al.. (2025). A novel net load prediction approach using multi-scale deep learning network based on Trend-Multi-Period encoder and segment imbalance regression. Energy. 332. 137146–137146.

Zhang, Bin, et al.. (2025). Enhancing transmission line security: Robust sag interval estimation under hybrid cyber attacks. Electric Power Systems Research. 247. 111660–111660.

Song, Shihao, et al.. (2025). Research on data augmentation and synthetic sample quantity uncertainty in few-shot wind power prediction based on the adaptive CRITIC-HLICRVFL method. Renewable Energy. 252. 123527–123527. 1 indexed citations

Wang, Yu, Anbo Meng, Zheng Lin Tan, et al.. (2025). Power prediction methods for offshore wind farm clusters: interpretable ASTGCN based on wind speed delay perception and spatial feature fusion. Energy. 341. 139345–139345.

Luo, Jianqiang, et al.. (2025). A novel two-phase piecewise economic dispatch model for wind-penetrated power systems using stability-constrained partition strategy. Applied Energy. 401. 126674–126674.

Meng, Anbo, et al.. (2025). A dual-dimensionality reduction attention mechanism with fusion of high-dimensional features for wind power prediction. Renewable Energy. 247. 122950–122950.

Yin, Hao, et al.. (2024). Carbon emissions trading price forecasting based on temporal-spatial multidimensional collaborative attention network and segment imbalance regression. Applied Energy. 377. 124357–124357. 11 indexed citations

10.

Meng, Anbo, et al.. (2024). Solving large-scale combined heat and power economic dispatch problems by using deep reinforcement learning based crisscross optimization algorithm. Applied Thermal Engineering. 245. 122781–122781. 10 indexed citations

11.

Meng, Anbo, et al.. (2024). Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural network. Applied Energy. 369. 123553–123553. 8 indexed citations

12.

Zhang, Bin, et al.. (2024). A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction. Energy. 294. 130930–130930. 18 indexed citations

13.

Meng, Anbo, et al.. (2024). Short-Term Load Probability Prediction Based on Conditional Generative Adversarial Network Curve Generation. IEEE Access. 12. 64165–64176. 1 indexed citations

14.

Zhang, Bin, et al.. (2023). Spatial–temporal information model-based load current interval prediction for transmission lines. International Journal of Electrical Power & Energy Systems. 151. 109137–109137. 4 indexed citations

15.

Zhou, Tianmin, Jiamin Chen, Zuhong Ou, et al.. (2023). A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch. Applied Energy. 342. 121167–121167. 8 indexed citations

16.

Zhang, Bin, et al.. (2022). A Hybrid Framework Combining Data-Driven and Catenary-Based Methods for Wide-Area Powerline Sag Estimation. Energies. 15(14). 5245–5245. 3 indexed citations

17.

Meng, Anbo, Zuhong Ou, Shan Lin, et al.. (2022). A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine. Energy. 260. 124957–124957. 41 indexed citations

18.

Meng, Anbo, et al.. (2022). Decentralized power economic dispatch by distributed crisscross optimization in multi-agent system. Energy. 246. 123392–123392. 15 indexed citations

19.

Chen, Peng, et al.. (2007). Constructing Adaptive Individual Learning Environment Based on Multi-agent System. 374–377. 1 indexed citations

20.

Meng, Anbo. (2004). Application of genetic algorithm in adaptive governor with variable PID parameters. Control theory & applications. 3 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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