Mingqing Wang

414 citations
16 papers · 337 · h-index 9

Impact in

Papers in

Mingqing Wang

15 papers receiving 328 citations

Peers

Mingqing Wang
Comparison fields: 5 of 55
  • Polymers and Plastics 132
  • Electrical and Electronic Engineering 174
  • Materials Chemistry 132
  • Renewable Energy, Sustainability and the Environment 39
  • Electronic, Optical and Magnetic Materials 41
Replace A.M. Al-Shukri with:
A.M. Al-Shukri Saudi Arabia
Zarifi Masri Brunei
Guglielmo Macrelli Italy
Shiyou Liu China
Paul Chang United States
Wai Leung United States
Jianxiong Wang China
M. F. Silva Portugal
Xiaolan Tang China
Tommi Vuorinen Finland
Mingqing Wang relative to A.M. Al-Shukri Saudi Arabia A.M. Al-Shukri's profile →
Citations per field
00.5×
A.M. Al-Shukri · 1×
Citations per year

Countries citing papers authored by Mingqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingqing 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 Mingqing Wang Line = papers co-authored together Mingqing Wang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200776
2 200651
3 200850
4 200847
5 201126
6 200825
7 202223
8 202310
9 20199
10 20226
11 20205
12 20253
13 20213
14
An Effective Direct Slicing Algorithm of CAD Model and Its Implementation
20032
15
Multi-core parallel particle swarm optimization algorithm for long-term optimal operation of hydropower system
20131
16 20260

About Mingqing Wang

Mingqing Wang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Computer Vision and Pattern Recognition, Atmospheric Science and Materials Chemistry, having authored 16 papers that have together received 337 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (5 papers), Conducting polymers and applications (4 papers), Quantum Dots Synthesis And Properties (3 papers), Oceanographic and Atmospheric Processes (2 papers), Climate variability and models (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Polymers and Plastics (132 citations), Electrical and Electronic Engineering (174 citations), Materials Chemistry (132 citations), Renewable Energy, Sustainability and the Environment (39 citations) and Electronic, Optical and Magnetic Materials (41 citations). Mingqing Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaogong Wang, Yaning He, Bin Liu, Xiaomeng Huang, Jie Wang, Thilini Ishwara, Yuhang Liu, Pedro Atienzar, Cyril Martini and Noriyuki Yoshimoto. Their work appears in journals such as Solar Energy Materials and Solar Cells, Engineering Applications of Artificial Intelligence, Polymer, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Current Applied Physics.

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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