Mao Yang

1.2k total citations · 1 hit paper
60 papers, 784 citations indexed

About

Mao Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mao Yang has authored 60 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 17 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Mao Yang's work include Energy Load and Power Forecasting (35 papers), Wind Energy Research and Development (11 papers) and Electric Power System Optimization (11 papers). Mao Yang is often cited by papers focused on Energy Load and Power Forecasting (35 papers), Wind Energy Research and Development (11 papers) and Electric Power System Optimization (11 papers). Mao Yang collaborates with scholars based in China, Vietnam and United Kingdom. Mao Yang's co-authors include Wei Zhang, Huiyu Liu, Yutong Huang, Xin Su, Da Wang, Yang Cui, Bo Wang, Yantao Tian, Xinyue Qi and Miaomiao Ma and has published in prestigious journals such as Applied Energy, Chemistry - A European Journal and Expert Systems with Applications.

In The Last Decade

Mao Yang

54 papers receiving 755 citations

Hit Papers

A short-term power prediction method based on numerical w... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
    2025 24 citations Mao Yang, Wei Zhang et al. Expert Systems with Applications profile →

Peers

Mao Yang
Yixiao Yu China
D. M. Vinod Kumar India
Hexu Sun China
Xiaosheng Peng China
Hai‐Kun Wang China
Tian Gao China
Gholamreza Memarzadeh Iran
Nantian Huang China
Kurt Rohrig Germany
Yixiao Yu China
Mao Yang
Citations per year, relative to Mao Yang Mao Yang (= 1×) peers Yixiao Yu

Countries citing papers authored by Mao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Yang. A scholar is included among the top collaborators of Mao Yang 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 Mao Yang. Mao Yang 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.
Yang, Mao, et al.. (2025). Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model. Applied Energy. 388. 125580–125580. 8 indexed citations
2.
3.
4.
Yang, Mao, et al.. (2025). Extraction and application of intrinsic predictable component in day-ahead power prediction for wind farm cluster. Energy. 328. 136530–136530. 13 indexed citations
5.
Yang, Mao, et al.. (2025). A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster. Expert Systems with Applications. 274. 126979–126979. 24 indexed citations breakdown →
6.
7.
Yang, Mao, et al.. (2024). Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism. Energy. 290. 130238–130238. 23 indexed citations
8.
Huang, Xijie, et al.. (2024). Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13674–13695. 3 indexed citations
9.
Zhan, Hongyi, et al.. (2024). Probabilistic load forecasting for integrated energy systems based on quantile regression patch time series Transformer. Energy Reports. 13. 303–317. 11 indexed citations
10.
11.
12.
Wang, Da, et al.. (2024). Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining. Applied Energy. 380. 125102–125102. 8 indexed citations
13.
Yang, Mao, et al.. (2024). A centralized power prediction method for large-scale wind power clusters based on dynamic graph neural network. Energy. 310. 133210–133210. 9 indexed citations
14.
Yang, Mao, et al.. (2023). A novel ultra short-term wind power prediction model based on double model coordination switching mechanism. Energy. 289. 130075–130075. 9 indexed citations
15.
Yang, Mao, et al.. (2023). Considering dynamic perception of fluctuation trend for long-foresight-term wind power prediction. Energy. 289. 130016–130016. 10 indexed citations
16.
Yang, Mao, Da Wang, & Wei Zhang. (2023). A short-term wind power prediction method based on dynamic and static feature fusion mining. Energy. 280. 128226–128226. 34 indexed citations
17.
Cai, Guowei, et al.. (2023). Short-term prediction of PV output based on weather classification and SSA-ELM. Frontiers in Energy Research. 11. 4 indexed citations
18.
Chen, Zhiyong, et al.. (2015). Torsional Vibration Semiactive Control of Drivetrain Based on Magnetorheological Fluid Dual Mass Flywheel. Mathematical Problems in Engineering. 2015. 1–17. 13 indexed citations
19.
Yang, Mao. (2010). Game-Theory Based Multi-Robot Task Allocation Algorithm. Journal of Jilin University. 1 indexed citations
20.
Tian, Yantao, Mao Yang, Xinyue Qi, & Yongming Yang. (2009). Multi-robot task allocation for fire-disaster response based on reinforcement learning. 2312–2317. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yixiao Yu Breakdown of academic impact, for papers by D. M. Vinod Kumar Breakdown of academic impact, for papers by Hexu Sun Breakdown of academic impact, for papers by Xiaosheng Peng Breakdown of academic impact, for papers by Hai‐Kun Wang Breakdown of academic impact, for papers by Tian Gao Breakdown of academic impact, for papers by Gholamreza Memarzadeh Breakdown of academic impact, for papers by Nantian Huang Breakdown of academic impact, for papers by Kurt Rohrig
Rankless by CCL
2026