Chengrui Wang
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Electronic, Optical and Magnetic Materials
- Topics
- Catalytic Processes in Materials Science (3 papers)Advanced Neural Network Applications (3 papers)Chemical Looping and Thermochemical Processes (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologyAutomotive Engineering
- Journals
- Nano EnergyIEEE AccessSustainability
In The Last Decade
Chengrui Wang
15 papers receiving 364 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 215
- Electrical and Electronic Engineering 109
- Artificial Intelligence 59
- Experimental and Cognitive Psychology 46
- Electronic, Optical and Magnetic Materials 43
Countries citing papers authored by Chengrui Wang
This map shows the geographic impact of Chengrui 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 Chengrui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengrui Wang more than expected).
Fields of papers citing papers by Chengrui Wang
This network shows the impact of papers produced by Chengrui 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 Chengrui Wang. The network helps show where Chengrui Wang may publish in the future.
Co-authorship network of co-authors of Chengrui Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chengrui Wang. A scholar is included among the top collaborators of Chengrui 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 Chengrui Wang. Chengrui 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | Relative Uncertainty Learning for Facial Expression Recognition | 63 |
| 15 | 5 | |
| 16 | 157 | |
| 17 | 10 | |
| 18 | 20 | |
| 19 | 79 | |
| 20 | 5 |
About Chengrui Wang
Chengrui Wang is a scholar working on Computer Vision and Pattern Recognition, Catalysis and Media Technology, having authored 20 papers that have together received 369 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (3 papers), Advanced Neural Network Applications (3 papers) and Chemical Looping and Thermochemical Processes (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Experimental and Cognitive Psychology (46 citations) and Automotive Engineering (29 citations). Chengrui Wang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Weihong Deng, Yuhang Zhang, Hong Gao, Shi Xue Dou, Yanzhao Hou, Yuhai Dou, Yajie Liu, Binwei Zhang, Huan Liu and Wei Kong Pang. Their work appears in journals such as Nano Energy, IEEE Access and Sustainability.
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.