Boling Yan
Impact in
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- Manufacturing Process and Optimization
- Engineering Technology and Methodologies
- Industrial Vision Systems and Defect Detection
- Mechanical Engineering top 5%
- Advanced machining processes and optimization
- Advanced Measurement and Metrology Techniques
- Additive Manufacturing Materials and Processes
Papers in
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- Advanced machining processes and optimization 13
- Advanced Measurement and Metrology Techniques 5
- Additive Manufacturing Materials and Processes 3
- Welding Techniques and Residual Stresses 2
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- Advanced Surface Polishing Techniques 9
- Co-authors
- Lida Zhu (4 shared papers)Lida Zhu (11 shared papers)Yichao Dun (4 shared papers)Yanpeng Hao (7 shared papers)Changfu Liu (2 shared papers)Hao Lü (6 shared papers)Shaoqing Qin (5 shared papers)Shuhao Wang (3 shared papers)
In The Last Decade
Boling Yan
17 papers receiving 550 citations
Peers
Comparison fields: 5 of 42
- Industrial and Manufacturing Engineering 159
- Mechanical Engineering 494
- Biomedical Engineering 231
- Electrical and Electronic Engineering 199
- Computational Mechanics 51
Countries citing papers authored by Boling Yan
This map shows the geographic impact of Boling Yan'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 Boling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boling Yan more than expected).
Fields of papers citing papers by Boling Yan
This network shows the impact of papers produced by Boling Yan. 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 Boling Yan. The network helps show where Boling Yan may publish in the future.
Co-authors
The 22 scholars most cited alongside Boling Yan, 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 | 81 | |
| 2 | 2021 | 71 | |
| 3 | 2021 | 71 | |
| 4 | 2022 | 63 | |
| 5 | 2021 | 59 | |
| 6 | 2021 | 49 | |
| 7 | 2019 | 30 | |
| 8 | 2023 | 26 | |
| 9 | 2024 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 0 |
About Boling Yan
Boling Yan is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 18 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (13 papers), Advanced Surface Polishing Techniques (9 papers), Advanced Machining and Optimization Techniques (7 papers), Advanced Measurement and Metrology Techniques (5 papers), Industrial Vision Systems and Defect Detection (3 papers), Additive Manufacturing Materials and Processes (3 papers), Manufacturing Process and Optimization (3 papers) and Welding Techniques and Residual Stresses (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (159 citations), Mechanical Engineering (494 citations), Biomedical Engineering (231 citations), Electrical and Electronic Engineering (199 citations) and Computational Mechanics (51 citations). Boling Yan has collaborated with scholars based in China and Singapore. Frequent co-authors include Lida Zhu, Lida Zhu, Yichao Dun, Yanpeng Hao, Changfu Liu, Hao Lü, Shaoqing Qin, Shuhao Wang, Zhichao Yang and Hao Lü. Their work appears in journals such as Mechanical Systems and Signal Processing, The International Journal of Advanced Manufacturing Technology, Journal of Manufacturing Processes, International Journal of Mechanical Sciences and Journal of Vibration and Control.
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.