M. Wang
Impact in
- Mechanical Engineering top 10%
- Advanced Welding Techniques Analysis
- Aluminum Alloys Composites Properties
- Welding Techniques and Residual Stresses
- Metal Forming Simulation Techniques
- Aerospace Engineering top 10%
- Aluminum Alloy Microstructure Properties
Papers in
-
- Advanced Welding Techniques Analysis 5
- Aluminum Alloys Composites Properties 5
-
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 2
- Co-authors
- Liang Kong (3 shared papers)Jingyi Cao (3 shared papers)K.-C. Chou (3 shared papers)Liang Guo (2 shared papers)Jing Yang (1 shared paper)Zhengjun Xu (1 shared paper)Shuai Liu (1 shared paper)Jie Yang (1 shared paper)
- Journals
- Amino Acids (2 papers)Journal of Materials Processing Technology (2 papers)International Journal of Oral and Maxillofacial Surgery (1 paper)European Journal of Neurology (1 paper)Protein Engineering Design and Selection (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
M. Wang
16 papers receiving 543 citations
Peers
Comparison fields: 5 of 66
- Mechanical Engineering 252
- Aerospace Engineering 124
- Molecular Biology 233
- Cancer Research 18
- Oncology 30
Countries citing papers authored by M. Wang
This map shows the geographic impact of M. Wang'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 M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wang more than expected).
Fields of papers citing papers by M. Wang
This network shows the impact of papers produced by M. Wang. 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 M. Wang. The network helps show where M. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wang, 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 | 2004 | 166 | |
| 2 | 2015 | 101 | |
| 3 | 2016 | 68 | |
| 4 | 2017 | 66 | |
| 5 | 2016 | 49 | |
| 6 | 2005 | 40 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 5 | |
| 10 | 2015 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2005 | 1 | |
| 16 | 2002 | 1 |
About M. Wang
M. Wang is a scholar working on Mechanical Engineering, Molecular Biology, Surgery, Aerospace Engineering and Oral Surgery, having authored 16 papers that have together received 552 indexed citations. Recurring topics across this work include Advanced Welding Techniques Analysis (5 papers), Aluminum Alloys Composites Properties (5 papers), Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers), Dental Implant Techniques and Outcomes (2 papers), Aluminum Alloy Microstructure Properties (2 papers), Protein Structure and Dynamics (2 papers) and Reconstructive Surgery and Microvascular Techniques (2 papers). The work is most often cited by research in Mechanical Engineering (252 citations), Aerospace Engineering (124 citations), Molecular Biology (233 citations), Cancer Research (18 citations) and Oncology (30 citations). M. Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Liang Kong, Jingyi Cao, K.-C. Chou, Liang Guo, Jing Yang, Zhengjun Xu, Shuai Liu, Jie Yang, Yanbin Yin and Jin Li. Their work appears in journals such as Amino Acids, Journal of Materials Processing Technology, International Journal of Oral and Maxillofacial Surgery, European Journal of Neurology and Protein Engineering Design and Selection.
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.