Mingli Wu
Impact in
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- Railway Systems and Energy Efficiency
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
Papers in
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- Power Systems and Technologies 20
- Multilevel Inverters and Converters 13
- HVDC Systems and Fault Protection 11
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- Railway Systems and Energy Efficiency 64
- Co-authors
- Qiujiang Liu (28 shared papers)Kejian Song (21 shared papers)Hui Wang (2 shared papers)Juanjuan Sun (1 shared paper)Shaobing Yang (15 shared papers)Vassilios G. Agelidis (6 shared papers)Renheng Wang (6 shared papers)Dongming Liu (5 shared papers)
In The Last Decade
Mingli Wu
111 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Industrial and Manufacturing Engineering 660
- Automotive Engineering 254
- Electrical and Electronic Engineering 1.1k
- Control and Systems Engineering 428
- Nuclear Energy and Engineering 6
Countries citing papers authored by Mingli Wu
This map shows the geographic impact of Mingli Wu'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 Mingli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingli Wu more than expected).
Fields of papers citing papers by Mingli Wu
This network shows the impact of papers produced by Mingli Wu. 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 Mingli Wu. The network helps show where Mingli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingli Wu, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2023 | 81 | |
| 3 | 2019 | 69 | |
| 4 | 2023 | 68 | |
| 5 | 2023 | 64 | |
| 6 | 2004 | 64 | |
| 7 | 2014 | 57 | |
| 8 | 2018 | 50 | |
| 9 | 2019 | 44 | |
| 10 | 2016 | 40 | |
| 11 | 2010 | 39 | |
| 12 | 2023 | 37 | |
| 13 | 2019 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2015 | 33 | |
| 16 | 2020 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2023 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2009 | 28 |
About Mingli Wu
Mingli Wu is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering and Automotive Engineering, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (64 papers), Electrical Contact Performance and Analysis (26 papers), Railway Engineering and Dynamics (23 papers), Power Systems and Technologies (20 papers), Multilevel Inverters and Converters (13 papers), Microgrid Control and Optimization (13 papers), HVDC Systems and Fault Protection (11 papers) and Electric and Hybrid Vehicle Technologies (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (660 citations), Automotive Engineering (254 citations), Electrical and Electronic Engineering (1.1k citations), Control and Systems Engineering (428 citations) and Nuclear Energy and Engineering (6 citations). Mingli Wu has collaborated with scholars based in China, Australia and Denmark. Frequent co-authors include Qiujiang Liu, Kejian Song, Hui Wang, Juanjuan Sun, Shaobing Yang, Vassilios G. Agelidis, Renheng Wang, Dongming Liu, Georgios Konstantinou and Tingting He. Their work appears in journals such as IEEE Access, Energies, International Journal of Electrical Power & Energy Systems, IET Power Electronics and Dianli xitong zidonghua.
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.