Mao Yang

569 total citations
27 papers, 373 citations indexed

About

Mao Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Energy Engineering and Power Technology. According to data from OpenAlex, Mao Yang has authored 27 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 6 papers in Energy Engineering and Power Technology. Recurrent topics in Mao Yang's work include Energy Load and Power Forecasting (20 papers), Solar Radiation and Photovoltaics (7 papers) and Electric Power System Optimization (6 papers). Mao Yang is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Solar Radiation and Photovoltaics (7 papers) and Electric Power System Optimization (6 papers). Mao Yang collaborates with scholars based in China, Vietnam and Italy. Mao Yang's co-authors include Jinxin Wang, Gangui Yan, Yang Cui, Fulin Fan, Yi Zhou, Yulin Chen, Xin Su, Yong Sun, Baoju Li and Zhenyuan Li and has published in prestigious journals such as Applied Energy, IEEE Access and Energy.

In The Last Decade

Mao Yang

23 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao Yang China 12 317 113 93 77 37 27 373
Rafael Peña Gallardo Mexico 10 244 0.8× 72 0.6× 121 1.3× 60 0.8× 47 1.3× 54 348
Qianyao Xu China 8 368 1.2× 70 0.6× 91 1.0× 56 0.7× 41 1.1× 14 398
Zakariya Rajab Libya 9 186 0.6× 46 0.4× 147 1.6× 53 0.7× 42 1.1× 35 307
Shuai Hu China 8 318 1.0× 82 0.7× 86 0.9× 29 0.4× 35 0.9× 12 354
Zhijun Li China 11 307 1.0× 81 0.7× 160 1.7× 32 0.4× 35 0.9× 32 393
Changfei Zhao China 7 292 0.9× 65 0.6× 88 0.9× 42 0.5× 20 0.5× 11 331
Nimal Madhu M. Thailand 12 324 1.0× 47 0.4× 143 1.5× 58 0.8× 14 0.4× 26 384
V. Prema India 10 240 0.8× 163 1.4× 68 0.7× 43 0.6× 18 0.5× 26 352
Chia‐Sheng Tu China 8 296 0.9× 44 0.4× 169 1.8× 33 0.4× 45 1.2× 18 342
Kai-Hung Lu Taiwan 8 280 0.9× 37 0.3× 178 1.9× 63 0.8× 27 0.7× 25 360

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
2.
Yang, Mao, Yunfeng Guo, Tao Huang, & Wei Zhang. (2024). Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios. Applied Energy. 377. 124720–124720. 23 indexed citations
3.
Yang, Mao, Yunfeng Guo, Fulin Fan, & Tao Huang. (2024). Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering. Energy. 302. 131797–131797. 10 indexed citations
4.
Yang, Mao, et al.. (2024). Investigation on high-speed dry milling stability of high strength steel by compound Simpson prediction method. The International Journal of Advanced Manufacturing Technology. 133(7-8). 3251–3266.
5.
Yang, Mao, et al.. (2024). Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations. Applied Energy. 377. 124631–124631. 24 indexed citations
6.
Yang, Mao, et al.. (2024). Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain. IEEE Transactions on Sustainable Energy. 16(1). 308–322. 13 indexed citations
7.
Yang, Mao, Jinxin Wang, Yiming Chen, Yuxuan Zeng, & Xin Su. (2024). Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction. Energy. 313. 134058–134058. 15 indexed citations
8.
Yang, Mao, et al.. (2024). Two-stage day-ahead multi-step prediction of wind power considering time-series information interaction. Energy. 312. 133580–133580. 43 indexed citations
9.
10.
Yang, Mao, et al.. (2024). A Short-Term Power Load Forecasting Method Based on SBOA–SVMD-TCN–BiLSTM. Electronics. 13(17). 3441–3441. 6 indexed citations
11.
Yang, Mao, et al.. (2021). Investigating the Predictability of Photovoltaic Power Using Approximate Entropy. Frontiers in Energy Research. 9. 6 indexed citations
12.
Yang, Mao, et al.. (2021). Improved Random Forest Method for Ultra-short-term Prediction of the Output Power of a Photovoltaic Cluster. Frontiers in Energy Research. 9. 10 indexed citations
13.
Yang, Mao, Peng Tian, Xin Su, & Miaomiao Ma. (2021). Short-Term Photovoltaic Power Interval Prediction Based on the Improved Generalized Error Mixture Distribution and Wavelet Packet -LSSVM. Frontiers in Energy Research. 9. 4 indexed citations
14.
Yang, Mao, et al.. (2020). Multi-Objective Optimization Scheduling Considering the Operation Performance of Islanded Microgrid. IEEE Access. 8. 83405–83413. 16 indexed citations
15.
Sun, Yong, et al.. (2020). Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance. IEEE Access. 8. 147703–147710. 46 indexed citations
17.
Yang, Mao, et al.. (2019). Investigating the Wind Power Smoothing Effect Using Set Pair Analysis. IEEE Transactions on Sustainable Energy. 11(3). 1161–1172. 64 indexed citations
18.
Yang, Mao, et al.. (2019). Short‐term photovoltaic power dynamic weighted combination forecasting based on least squares method. IEEJ Transactions on Electrical and Electronic Engineering. 14(12). 1739–1746. 8 indexed citations
19.
Yang, Mao & Qiong Yang. (2016). Wind power forecast based on cloud model. 35. 1–5. 1 indexed citations
20.

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

Rankless by CCL
2026