Chengqun Wang
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Industrial and Manufacturing Engineering top 5%
- Polymers and Plastics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ming LiuHong MengClifton ShenXiuru XuKe LiGuo‐Hua ZhongJingsheng MiaoYongming Yin
- Topics
- Advanced Neural Network Applications (5 papers)Energy Efficient Wireless Sensor Networks (5 papers)Quantum Dots Synthesis And Properties (4 papers)
In The Last Decade
Chengqun Wang
26 papers receiving 794 citations
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 454
- Materials Chemistry 357
- Industrial and Manufacturing Engineering 141
- Polymers and Plastics 139
- Computer Vision and Pattern Recognition 97
Countries citing papers authored by Chengqun Wang
This map shows the geographic impact of Chengqun 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 Chengqun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengqun Wang more than expected).
Fields of papers citing papers by Chengqun Wang
This network shows the impact of papers produced by Chengqun 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 Chengqun Wang. The network helps show where Chengqun Wang may publish in the future.
Co-authorship network of co-authors of Chengqun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chengqun Wang. A scholar is included among the top collaborators of Chengqun 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 Chengqun Wang. Chengqun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 42 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | miR-137 suppresses cell growth and extracellular matrixdegradation through regulating ADAMTS-5 in chondrocytes. | 13 |
| 13 | 6 | |
| 14 | 351 | |
| 15 | 57 | |
| 16 | 32 | |
| 17 | A hybrid model of Maximum Margin Clustering method and support vector regression for solving the inverse ECG problem | 7 |
| 18 | 45 | |
| 19 | 22 | |
| 20 | 0 |
About Chengqun Wang
Chengqun Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 29 papers that have together received 814 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Quantum Dots Synthesis And Properties (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Polymers and Plastics (139 citations) and Electrical and Electronic Engineering (454 citations). Chengqun Wang has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Ming Liu, Hong Meng, Clifton Shen, Xiuru Xu, Ke Li, Guo‐Hua Zhong, Jingsheng Miao, Yongming Yin, Weiqiang Xu and Di Zhou. Their work appears in journals such as The Journal of Physical Chemistry Letters, Sensors and Composites Science and 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.