Chengming Yu
Impact in
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- Energy Load and Power Forecasting
- Electric Power System Optimization
- Smart Grid Energy Management
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
Papers in
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- Energy Load and Power Forecasting 7
- Thin-Film Transistor Technologies 3
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- Machine Fault Diagnosis Techniques 3
- Co-authors
- Chengqing Yu (8 shared papers)Guangxi Yan (7 shared papers)Xiwei Mi (4 shared papers)Yu Zhang (1 shared paper)Yu Bai (2 shared papers)Haiping Wu (2 shared papers)Hui Liu (2 shared papers)Chao Chen (2 shared papers)
In The Last Decade
Chengming Yu
14 papers receiving 345 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 201
- Control and Systems Engineering 79
- Building and Construction 43
- Management Science and Operations Research 37
- Energy Engineering and Power Technology 9
Countries citing papers authored by Chengming Yu
This map shows the geographic impact of Chengming Yu'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 Chengming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengming Yu more than expected).
Fields of papers citing papers by Chengming Yu
This network shows the impact of papers produced by Chengming Yu. 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 Chengming Yu. The network helps show where Chengming Yu may publish in the future.
Co-authors
The 19 scholars most cited alongside Chengming Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 99 | |
| 2 | 2022 | 56 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 36 | |
| 5 | 2023 | 32 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2012 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2005 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2025 | 0 |
About Chengming Yu
Chengming Yu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics, having authored 15 papers that have together received 350 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (7 papers), Machine Fault Diagnosis Techniques (3 papers), Grey System Theory Applications (3 papers), Thin-Film Transistor Technologies (3 papers), Nanowire Synthesis and Applications (2 papers), Energy, Environment, Economic Growth (2 papers), Solar Radiation and Photovoltaics (2 papers) and Railway Engineering and Dynamics (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (201 citations), Control and Systems Engineering (79 citations), Building and Construction (43 citations), Management Science and Operations Research (37 citations) and Energy Engineering and Power Technology (9 citations). Chengming Yu has collaborated with scholars based in China and Taiwan. Frequent co-authors include Chengqing Yu, Guangxi Yan, Xiwei Mi, Yu Zhang, Yu Bai, Haiping Wu, Hui Liu, Chao Chen, Hui Liu and Chen Jiang. Their work appears in journals such as Applied Sciences, Advanced Engineering Informatics, Sustainable Cities and Society, Measurement and Applied Soft Computing.
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.