Ming Wang

2.0k total citations · 1 hit paper
87 papers, 1.6k citations indexed

About

Ming Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, Ming Wang has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 23 papers in Atomic and Molecular Physics, and Optics and 11 papers in Mechanics of Materials. Recurrent topics in Ming Wang's work include Photonic and Optical Devices (35 papers), Semiconductor Lasers and Optical Devices (24 papers) and Advanced Fiber Optic Sensors (20 papers). Ming Wang is often cited by papers focused on Photonic and Optical Devices (35 papers), Semiconductor Lasers and Optical Devices (24 papers) and Advanced Fiber Optic Sensors (20 papers). Ming Wang collaborates with scholars based in China, United States and Japan. Ming Wang's co-authors include Yubo Zhang, Xiaosheng Tang, Zhigang Zang, Wei Jing, Jihe Du, Wei Xia, Dongmei Guo, Yiping Wang, Tingting Wang and Huifang Dong and has published in prestigious journals such as ACS Nano, Optics Letters and Optics Express.

In The Last Decade

Ming Wang

76 papers receiving 1.5k citations

Hit Papers

Enhanced performance of light-controlled conductive switc... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Wang China 19 963 364 338 338 250 87 1.6k
Jinping Zhang China 24 1.3k 1.3× 616 1.7× 152 0.4× 412 1.2× 456 1.8× 174 2.1k
Liying Chen China 20 559 0.6× 371 1.0× 358 1.1× 332 1.0× 101 0.4× 107 1.4k
Zhu Zhu China 21 677 0.7× 391 1.1× 122 0.4× 228 0.7× 381 1.5× 99 1.3k
Qiao Chen China 24 1.2k 1.2× 442 1.2× 160 0.5× 460 1.4× 215 0.9× 137 2.0k
Wenbin Huang China 20 454 0.5× 268 0.7× 308 0.9× 369 1.1× 422 1.7× 88 1.3k
F.P. Dawson Canada 23 1.3k 1.3× 374 1.0× 132 0.4× 302 0.9× 318 1.3× 188 2.1k
Sangho Kim South Korea 23 931 1.0× 837 2.3× 160 0.5× 197 0.6× 97 0.4× 102 1.7k
Liyang Chen China 17 500 0.5× 304 0.8× 173 0.5× 164 0.5× 260 1.0× 67 1.1k
Zhengfang Qian China 29 2.0k 2.0× 604 1.7× 284 0.8× 365 1.1× 339 1.4× 136 2.5k
Chen Shang United States 30 1.7k 1.8× 554 1.5× 944 2.8× 251 0.7× 135 0.5× 88 2.5k

Countries citing papers authored by Ming Wang

Since Specialization
Citations

This map shows the geographic impact of Ming 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 Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming 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 Ming Wang. The network helps show where Ming Wang may publish in the future.

Co-authorship network of co-authors of Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wang. A scholar is included among the top collaborators of Ming 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 Ming Wang. Ming 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
1.
Liu, Lei, et al.. (2025). Interleaved Block-Sparse Transform. IEEE Communications Letters. 29(4). 739–743.
2.
Zhu, Chunyan, et al.. (2024). Adaptive optimization deep neural network framework of reliability estimation for engineering structures. Structures. 64. 106621–106621. 4 indexed citations
3.
Zhu, Chunyan, et al.. (2024). Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures. Reliability Engineering & System Safety. 246. 110092–110092. 12 indexed citations
4.
Zhang, Shiming, et al.. (2024). Phase Characteristics of Fluids in Offshore Buried Hill Condensate Gas Reservoirs and Their Influence on Formation Permeability. ACS Omega. 9(52). 51191–51203. 1 indexed citations
5.
Wang, Ming, Dawei Zhu, Rui Yu, et al.. (2023). Data envelopment analysis on the efficiency of vaccination services and its influencing factors in Beijing, China. BMC Health Services Research. 23(1). 737–737. 2 indexed citations
6.
Dong, Xiaowei, et al.. (2023). Study on chatter suppression in ultrasonic-assisted grinding of thin-walled workpiece of SiCp/Al composites. Advances in Mechanical Engineering. 15(6). 5 indexed citations
7.
Hu, Weihua, Ming Wang, Zuohua Li, et al.. (2020). Resonance Monitoring of a Horizontal Wind Turbine by Strain-Based Automated Operational Modal Analysis. Energies. 13(3). 579–579. 13 indexed citations
8.
Wang, Ming, Wei Zheng, Ming Zhou, & Qun Zhang. (2019). Rotary ultrasonic machining of SiCp/Al composites: An experimental study on cutting force and machinability. Advances in Mechanical Engineering. 11(12). 10 indexed citations
9.
Wang, Yiping, et al.. (2018). Resolution-Enhanced Fiber Grating Refractive Index Sensor Based on an Optoelectronic Oscillator. IEEE Sensors Journal. 18(23). 9562–9567. 34 indexed citations
10.
Guo, Dongmei, et al.. (2018). Laser Self-Mixing Grating Interferometer for MEMS Accelerometer Testing. IEEE photonics journal. 10(1). 1–9. 23 indexed citations
11.
Guo, Dongmei, et al.. (2018). Self-Mixing Grating Interferometer With Dual Laser Diodes for Sensing of 2-D Dynamic Displacement. IEEE Journal of Quantum Electronics. 54(5). 1–6. 18 indexed citations
12.
Guo, Dongmei, Yifeng Cui, Hui Hao, et al.. (2018). Design of a multiple self-mixing interferometer for a fiber ring laser. Optics Letters. 43(17). 4124–4124. 12 indexed citations
13.
Pan, Tingting, et al.. (2018). Fabrication of Monolayer Crystalline Films on Optical Fiber End by Micro-flow Injection Method†. Gaodeng xuexiao huaxue xuebao. 39(4). 708. 1 indexed citations
14.
Wang, Ming, Liping Liu, & Lijun Sun. (2017). Determination of Modulus and Adhesion Properties of Mastic Components Within Asphalt Mixtures. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 indexed citations
15.
Wang, Ming, et al.. (2016). Dynamic Rheological Properties and Microscopic Characteristics of Ash Mastics. 44(4). 567–572. 4 indexed citations
16.
Hao, Hui, et al.. (2014). Micro-displace sensor based on self-mixing interference of the fiber laser with phase modulation. Photonic Sensors. 4(4). 379–384. 4 indexed citations
17.
Wang, Ming, Guiqing Zhang, & Chengdong Li. (2013). Whole building operation optimal control system based on an occupancy sensor network. Chinese Control Conference. 6439–6444. 1 indexed citations
18.
Wang, Ming. (2008). Numerical Method for Extracting Young's Modulus and Residual Stress of a MEMS Film. Chuangan jishu xuebao.
19.
Babulak, Eduard & Ming Wang. (2007). Discrete Event Simulation: State of the Art. International Journal of Online and Biomedical Engineering (iJOE). 4(2). 60–63. 7 indexed citations
20.
Wang, Ming. (2007). Simulation Analysis in Random Vibration of Missile-borne Antenna. 1 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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