Mingjia Sun
Impact in
- Mechanical Engineering top 10%
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Computational Mechanics top 10%
- Advanced Numerical Analysis Techniques
Papers in
-
- Advanced Measurement and Metrology Techniques 11
- Advanced machining processes and optimization 10
- Tribology and Lubrication Engineering 2
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- Catalytic Processes in Materials Science 2
- Co-authors
- Yu‐Liang Wu (9 shared papers)Kuo Liu (9 shared papers)Yongjun Tang (2 shared papers)Yu Liu (1 shared paper)Yu Liu (2 shared papers)Haibo Liu (3 shared papers)Yongqing Wang (2 shared papers)Hanfei Zhang (4 shared papers)
In The Last Decade
Mingjia Sun
23 papers receiving 329 citations
Peers
Comparison fields: 5 of 75
- Mechanical Engineering 222
- Computational Mechanics 81
- Energy Engineering and Power Technology 12
- Strategy and Management 31
- Marketing 16
Countries citing papers authored by Mingjia Sun
This map shows the geographic impact of Mingjia Sun'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 Mingjia Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjia Sun more than expected).
Fields of papers citing papers by Mingjia Sun
This network shows the impact of papers produced by Mingjia Sun. 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 Mingjia Sun. The network helps show where Mingjia Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjia Sun, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2019 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2015 | 26 | |
| 5 | 2016 | 24 | |
| 6 | 2023 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2024 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Mingjia Sun
Mingjia Sun is a scholar working on Mechanical Engineering, Materials Chemistry, Health, Toxicology and Mutagenesis, Biomedical Engineering and Strategy and Management, having authored 23 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (11 papers), Advanced machining processes and optimization (10 papers), Advanced Sensor Technologies Research (2 papers), Iterative Learning Control Systems (2 papers), Advanced Numerical Analysis Techniques (2 papers), Catalytic Processes in Materials Science (2 papers), Tribology and Lubrication Engineering (2 papers) and Solar Thermal and Photovoltaic Systems (2 papers). The work is most often cited by research in Mechanical Engineering (222 citations), Computational Mechanics (81 citations), Energy Engineering and Power Technology (12 citations), Strategy and Management (31 citations) and Marketing (16 citations). Mingjia Sun has collaborated with scholars based in China and Italy. Frequent co-authors include Yu‐Liang Wu, Kuo Liu, Yongjun Tang, Yu Liu, Yu Liu, Haibo Liu, Yongqing Wang, Hanfei Zhang, Liqiang Duan and Xiaolei Li. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Applied Energy, Journal of Affective Disorders, Emerging Markets Finance and Trade and Journal of Business Ethics.
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.