M. Wang

88.3k total citations · 1 hit paper
121 papers, 4.2k citations indexed

About

M. Wang is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, M. Wang has authored 121 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Nuclear and High Energy Physics and 13 papers in Computer Networks and Communications. Recurrent topics in M. Wang's work include Particle physics theoretical and experimental studies (13 papers), Particle Detector Development and Performance (11 papers) and Quantum Chromodynamics and Particle Interactions (7 papers). M. Wang is often cited by papers focused on Particle physics theoretical and experimental studies (13 papers), Particle Detector Development and Performance (11 papers) and Quantum Chromodynamics and Particle Interactions (7 papers). M. Wang collaborates with scholars based in United States, China and United Kingdom. M. Wang's co-authors include Aaron D. Mazzeo, Adam A. Stokes, Robert F. Shepherd, Filip Ilievski, George M. Whitesides, Stephen A. Morin, Wonjae Choi, Xin Chen, Yue Sun and Ned C. Rouze and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

M. Wang

105 papers receiving 4.1k citations

Hit Papers

Multigait soft robot 2011 2026 2016 2021 2011 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Wang United States 27 2.0k 1.0k 838 556 419 121 4.2k
Omar K. Matar United Kingdom 52 3.1k 1.6× 1.3k 1.2× 2.0k 2.4× 216 0.4× 287 0.7× 338 9.7k
Xiaohao Wang China 38 2.4k 1.2× 1.3k 1.2× 1.4k 1.7× 347 0.6× 50 0.1× 299 5.5k
Jun Zhang China 40 1.1k 0.5× 766 0.8× 601 0.7× 169 0.3× 127 0.3× 264 5.4k
Yang Liu China 36 1.2k 0.6× 775 0.8× 809 1.0× 79 0.1× 54 0.1× 314 4.8k
Lailai Zhu Singapore 18 1.3k 0.6× 200 0.2× 581 0.7× 343 0.6× 769 1.8× 53 2.8k
Fei Liu China 36 1.6k 0.8× 383 0.4× 2.6k 3.1× 101 0.2× 31 0.1× 277 5.6k
Rui Chen China 42 880 0.4× 938 0.9× 1.9k 2.2× 26 0.0× 161 0.4× 385 6.6k
Hui Li China 37 621 0.3× 1.3k 1.3× 1.3k 1.5× 47 0.1× 118 0.3× 331 5.5k
Yong Shuai China 47 1.8k 0.9× 2.4k 2.4× 1.9k 2.2× 62 0.1× 122 0.3× 378 8.8k

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

20 of 20 papers shown
4.
Zhao, Guoyan, et al.. (2024). Concrete carbonation depth prediction model based on a gradient-boosting decision tree and different metaheuristic algorithms. Case Studies in Construction Materials. 21. e03864–e03864. 7 indexed citations
5.
Cai, T., K. Herner, T. Yang, et al.. (2023). Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. PubMed. 7(1). 11–11. 2 indexed citations
6.
7.
Nie, Haichen, Chad Dalton, James D. Ormes, et al.. (2022). High Bulk-Density Amorphous Dispersions to Enable Direct Compression of Reduced Tablet Size Amorphous Dosage Units. Journal of Pharmaceutical Sciences. 112(8). 2037–2045. 8 indexed citations
8.
Fincher, Cole D., Christos E. Athanasiou, M. Wang, et al.. (2022). Controlling dendrite propagation in solid-state batteries with engineered stress. Joule. 6(12). 2794–2809. 109 indexed citations
9.
Zheng, Yi, Panpan Ye, Yue Zhou, et al.. (2021). LPS-Induced Inflammation Affects Midazolam Clearance in Juvenile Mice in an Age-Dependent Manner. Journal of Inflammation Research. Volume 14. 3697–3706. 3 indexed citations
10.
Wang, M., et al.. (2021). Pseudorapidity distributions of charged particles in pp( p ¯ ), p(d)A and AA collisions using Tsallis thermodynamics. Journal of Physics G Nuclear and Particle Physics. 48(10). 105102–105102. 7 indexed citations
11.
Wang, M. & Jeff Sakamoto. (2020). Electrochemical Formation of Li Metal Anodes to Enable Li-Free Manufacturing of Solid-State Batteries. ECS Meeting Abstracts. MA2020-01(2). 293–293. 1 indexed citations
12.
Wong, Ai‐Ming, M. Wang, Daniel Garner, et al.. (2019). Obstructive sleep apnoea predicted by the STOP-BANG questionnaire is not associated with higher rates of post-operative complications among a high-risk surgical cohort. Sleep And Breathing. 24(1). 135–142. 5 indexed citations
13.
Chang, C., M. Wang, Scott Dodelson, et al.. (2018). A unified analysis of four cosmic shear surveys. Monthly Notices of the Royal Astronomical Society. 482(3). 3696–3717. 24 indexed citations
14.
Wang, M., Min Shao, Senlin Lü, et al.. (2015). Trends of non-methane hydrocarbons (NMHC) emissions in Beijing during 2002–2013. Atmospheric chemistry and physics. 15(3). 1489–1502. 78 indexed citations
15.
Wang, M., et al.. (2014). SuperPUF: integrating heterogeneous physically unclonable functions. International Conference on Computer Aided Design. 454–461. 2 indexed citations
16.
Hu, Weiwei, Min Hu, Bin Yuan, et al.. (2013). Insights on organic aerosol aging and the influence of coal combustion at a regional receptor site of central eastern China. Atmospheric chemistry and physics. 13(19). 10095–10112. 122 indexed citations
17.
Yuan, Bin, Weiwei Hu, Min Shao, et al.. (2013). VOC emissions, evolutions and contributions to SOA formation at a receptor site in eastern China. Atmospheric chemistry and physics. 13(17). 8815–8832. 234 indexed citations
18.
Dunn, Jennifer B., Steffen Mueller, M. Wang, & Jeongwoo Han. (2012). Energy consumption and greenhouse gas emissions from enzyme and yeast manufacture for corn and cellulosic ethanol production. Biotechnology Letters. 34(12). 2259–2263. 65 indexed citations
19.
Fan, Zhongyong, et al.. (2005). Influence of entanglements on glass transition of atactic polystyrene. Journal of Polymer Science Part B Polymer Physics. 43(16). 2243–2251. 36 indexed citations
20.
Christian, D., J. Félix, E. Gottschalk, et al.. (2005). Search for Exotic Baryons in 800 GeVpppΞ±π±XReactions. Physical Review Letters. 95(15). 152001–152001. 3 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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