Anbo Meng
Impact in
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- Power Systems and Renewable Energy
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- Energy Load and Power Forecasting
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Smart Grid Energy Management
Papers in
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- Energy Load and Power Forecasting 30
- Electric Power System Optimization 22
- Optimal Power Flow Distribution 12
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- Microgrid Control and Optimization 11
- Machine Fault Diagnosis Techniques 6
- Co-authors
- Hao Yin (34 shared papers)Sizhe Chen (3 shared papers)Zuhong Ou (7 shared papers)Hao Yin (2 shared papers)Yucheng Chen (1 shared paper)Xiangang Peng (2 shared papers)Jingmin Fan (6 shared papers)Shun Chen (2 shared papers)
In The Last Decade
Anbo Meng
57 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Energy Engineering and Power Technology 145
- Electrical and Electronic Engineering 1.4k
- Artificial Intelligence 542
- Management Science and Operations Research 177
- Control and Systems Engineering 296
Countries citing papers authored by Anbo Meng
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
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-authors
The 25 scholars most cited alongside Anbo Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 2014 | 196 | |
| 3 | 2022 | 97 | |
| 4 | 2021 | 95 | |
| 5 | 2017 | 94 | |
| 6 | 2015 | 93 | |
| 7 | 2021 | 93 | |
| 8 | 2019 | 90 | |
| 9 | 2021 | 83 | |
| 10 | 2020 | 68 | |
| 11 | 2015 | 66 | |
| 12 | 2015 | 64 | |
| 13 | 2016 | 63 | |
| 14 | 2022 | 42 | |
| 15 | 2021 | 36 | |
| 16 | 2022 | 34 | |
| 17 | 2020 | 33 | |
| 18 | 2021 | 29 | |
| 19 | 2023 | 24 | |
| 20 | 2019 | 24 |
About Anbo Meng
Anbo Meng is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Energy Engineering and Power Technology and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (30 papers), Electric Power System Optimization (22 papers), Optimal Power Flow Distribution (12 papers), Microgrid Control and Optimization (11 papers), Power Systems and Renewable Energy (7 papers), Machine Fault Diagnosis Techniques (6 papers), Solar Radiation and Photovoltaics (3 papers) and Grey System Theory Applications (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (145 citations), Electrical and Electronic Engineering (1.4k citations), Artificial Intelligence (542 citations), Management Science and Operations Research (177 citations) and Control and Systems Engineering (296 citations). Anbo Meng has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Hao Yin, Sizhe Chen, Zuhong Ou, Hao Yin, Yucheng Chen, Xiangang Peng, Jingmin Fan, Shun Chen, Peng Wang and Peng Mei. Their work appears in journals such as Energy, Applied Energy, Energy Conversion and Management, Renewable Energy and International Journal of Electrical Power & Energy Systems.
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.