Yingna Wu
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
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- Additive Manufacturing Materials and Processes 13
- High Entropy Alloys Studies 8
- Welding Techniques and Residual Stresses 4
- High Temperature Alloys and Creep 3
-
- Additive Manufacturing and 3D Printing Technologies 10
- Co-authors
- R A North (2 shared papers)Michael P. Kavanaugh (2 shared papers)Susan Amara (1 shared paper)Geoffrey Murdoch (1 shared paper)J.L. Arriza (1 shared paper)Rui Yang (7 shared papers)Zhenbo Zhang (9 shared papers)Wenhu Lin (4 shared papers)
- Journals
- Materials Science and Engineering A (4 papers)Applied Sciences (3 papers)Ceramics International (2 papers)Journal of Biological Chemistry (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yingna Wu
35 papers receiving 697 citations
Peers
Comparison fields: 5 of 96
- Biochemistry 256
- Clinical Biochemistry 70
- Automotive Engineering 101
- Cellular and Molecular Neuroscience 149
- Mechanical Engineering 227
Countries citing papers authored by Yingna Wu
This map shows the geographic impact of Yingna 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 Yingna Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingna Wu more than expected).
Fields of papers citing papers by Yingna Wu
This network shows the impact of papers produced by Yingna 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 Yingna Wu. The network helps show where Yingna Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingna 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 326 | |
| 2 | 1994 | 68 | |
| 3 | 2021 | 48 | |
| 4 | 2022 | 37 | |
| 5 | 2023 | 32 | |
| 6 | 2007 | 25 | |
| 7 | 2022 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2024 | 10 | |
| 14 | 2005 | 10 | |
| 15 | 2005 | 10 | |
| 16 | 2006 | 9 | |
| 17 | 2024 | 8 | |
| 18 | Nucleation and Growth of Atomizing Droplets during Spray Forming | 2009 | 7 |
| 19 | 2024 | 6 | |
| 20 | 2022 | 5 |
About Yingna Wu
Yingna Wu is a scholar working on Mechanical Engineering, Automotive Engineering, Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 717 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (13 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), High Entropy Alloys Studies (8 papers), High-Temperature Coating Behaviors (4 papers), Titanium Alloys Microstructure and Properties (4 papers), Welding Techniques and Residual Stresses (4 papers), Anomaly Detection Techniques and Applications (4 papers) and High Temperature Alloys and Creep (3 papers). The work is most often cited by research in Biochemistry (256 citations), Clinical Biochemistry (70 citations), Automotive Engineering (101 citations), Cellular and Molecular Neuroscience (149 citations) and Mechanical Engineering (227 citations). Yingna Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include R A North, Michael P. Kavanaugh, Susan Amara, Geoffrey Murdoch, J.L. Arriza, Rui Yang, Zhenbo Zhang, Wenhu Lin, Weihao Wang and Aya Suzuki. Their work appears in journals such as Materials Science and Engineering A, Applied Sciences, Ceramics International, Journal of Biological Chemistry and Sensors.
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.