M. Wang

637 total citations
15 papers, 522 citations indexed

About

M. Wang is a scholar working on Mechanical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, M. Wang has authored 15 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in M. Wang's work include Aluminum Alloys Composites Properties (5 papers), Advanced Welding Techniques Analysis (5 papers) and Machine Learning in Bioinformatics (3 papers). M. Wang is often cited by papers focused on Aluminum Alloys Composites Properties (5 papers), Advanced Welding Techniques Analysis (5 papers) and Machine Learning in Bioinformatics (3 papers). M. Wang collaborates with scholars based in China, United States and Egypt. M. Wang's co-authors include Jingyi Cao, Liang Kong, K.-C. Chou, Liang Guo, Zhengjun Xu, Shuai Liu, Jing Yang, Jie Yang, Peng Chai and Yanbin Yin and has published in prestigious journals such as Oncogene, Journal of Materials Processing Technology and Materials & Design.

In The Last Decade

M. Wang

15 papers receiving 511 citations

Peers

M. Wang
Mehdi Fazel‐Najafabadi United States
Jiefang Wang China
Jiaxin Chi China
Nicole L. Church United Kingdom
Hongliang Pan China
Junwei Guo China
Zhongrui Zhang China
Qiuming Zhang China
Mehdi Fazel‐Najafabadi United States
M. Wang
Citations per year, relative to M. Wang M. Wang (= 1×) peers Mehdi Fazel‐Najafabadi

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-authorship network of co-authors of M. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of M. Wang. A scholar is included among the top collaborators of M. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Wang. M. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Liu, Yunqing, Chengjin Qin, Yuanyuan Tian, et al.. (2024). Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 1 indexed citations
2.
Lin, Suzhen, Lu He, Ruqin Shen, et al.. (2020). Identification of the CD200R1 promoter and the association of its polymorphisms with the risk of Parkinson’s disease. European Journal of Neurology. 27(7). 1224–1230. 5 indexed citations
3.
Wang, M., et al.. (2020). Thinned-out skin paddle versus collagen matrix as an optimized peri-implant soft tissue following fibula osteoseptocutaneous free flap: 3-year retrospective study. International Journal of Oral and Maxillofacial Surgery. 50(3). 391–397. 2 indexed citations
4.
Xing, Yanfeng, et al.. (2020). Pin plunging reinforced refill friction stir spot welding of Alclad 2219 to 7075 alloy. Journal of Materials Processing Technology. 284. 116760–116760. 26 indexed citations
5.
Xiao, Lv, Ke Chen, M. Wang, et al.. (2020). Friction stir high-throughput synthesis to evaluate the effect of Al on AZ Mg alloys. Materials Letters. 284. 128924–128924. 4 indexed citations
6.
Chen, Ke, Kolan Madhav Reddy, Katsuyoshi Kondoh, et al.. (2020). Mechanism of defect formation during friction spot joining of 3D-printed TC4 alloy and ultra-high molecular weight polyethylene. Materials & Design. 195. 108989–108989. 16 indexed citations
7.
Cao, Jingyi, et al.. (2017). Microstructure, texture and mechanical properties during refill friction stir spot welding of 6061-T6 alloy. Materials Characterization. 128. 54–62. 61 indexed citations
8.
Zhou, Zhihua, M. Wang, Jin Li, et al.. (2016). SUMOylation and SENP3 regulate STAT3 activation in head and neck cancer. Oncogene. 35(45). 5826–5838. 61 indexed citations
9.
Cao, Jingyi, M. Wang, Liang Kong, Yanbin Yin, & Liang Guo. (2016). Numerical modeling and experimental investigation of material flow in friction spot welding of Al 6061-T6. The International Journal of Advanced Manufacturing Technology. 89(5-8). 2129–2139. 48 indexed citations
10.
Wang, Deming, et al.. (2016). BIOMECHANICAL ANALYSIS OF THE APPLICATION OF ZYGOMA IMPLANTS FOR PROSTHESIS IN UNILATERAL MAXILLARY DEFECT. Journal of Mechanics in Medicine and Biology. 16(8). 1640030–1640030. 2 indexed citations
11.
Wang, M., et al.. (2015). Analysis of polymorphisms in the FUT1 and TAP1 genes and their influence on immune performance in Pudong White pigs. Genetics and Molecular Research. 14(4). 17193–17203. 4 indexed citations
12.
Cao, Jingyi, M. Wang, Liang Kong, & Liang Guo. (2015). Hook formation and mechanical properties of friction spot welding in alloy 6061-T6. Journal of Materials Processing Technology. 230. 254–262. 96 indexed citations
13.
Wang, M., Jie Yang, & K.-C. Chou. (2005). Using string kernel to predict signal peptide cleavage site based on subsite coupling model. Amino Acids. 28(4). 395–402. 40 indexed citations
14.
Wang, M., Jianguang Yang, & K.-C. Chou. (2005). Using string kernel to predict signal peptide cleavage site based on subsite coupling model. Amino Acids. 29(3). 301–301. 1 indexed citations
15.
Wang, M., Jing Yang, Shuai Liu, Zhengjun Xu, & K.-C. Chou. (2004). Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition. Protein Engineering Design and Selection. 17(6). 509–516. 155 indexed citations

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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