M. Wang

637 citations
15 papers · 522 · h-index 8

Impact in

    • Advanced Welding Techniques Analysis
    • Aluminum Alloys Composites Properties
    • Welding Techniques and Residual Stresses
    • Metal Forming Simulation Techniques
    • 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

M. Wang

15 papers receiving 511 citations

Peers

M. Wang
Comparison fields: 5 of 67
  • Mechanical Engineering 242
  • Aerospace Engineering 121
  • Molecular Biology 227
  • Cancer Research 22
  • Computational Theory and Mathematics 19
Replace Mehdi Fazel‐Najafabadi with:
Mehdi Fazel‐Najafabadi United States
Nicole L. Church United Kingdom
Jiaxin Chi China
Jiefang Wang China
Junwei Guo China
Bowen Qiu China
Zhongrui Zhang China
Man Zhou China
M. Wang relative to Mehdi Fazel‐Najafabadi United States Mehdi Fazel‐Najafabadi's profile →
Citations per field
00.5×3.7×
Mehdi Fazel‐Najafabadi · 1×
Citations per year

Countries citing papers authored by M. Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M. Wang Line = papers co-authored together M. Wang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2004155
2 201596
3 201661
4 201761
5 201648
6 200540
7 202026
8 202016
9 20205
10 20154
11 20204
12 20202
13 20162
14 20241
15 20051

About M. Wang

M. Wang is a scholar working on Mechanical Engineering, Molecular Biology, Surgery, Aerospace Engineering and Oral Surgery, having authored 15 papers that have together received 522 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 (242 citations), Aerospace Engineering (121 citations), Molecular Biology (227 citations), Cancer Research (22 citations) and Computational Theory and Mathematics (19 citations). M. Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Jingyi Cao, Liang Kong, K.-C. Chou, Liang Guo, Zhengjun Xu, Jing Yang, Shuai Liu, Jie Yang, Peng Chai and Yanbin Yin. Their work appears in journals such as Journal of Materials Processing Technology, Amino Acids, Protein Engineering Design and Selection, IEEE Transactions on Instrumentation and Measurement and The International Journal of Advanced Manufacturing Technology.

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.

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