Qing Guo
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 2%
- Aerospace Engineering
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Co-authors
- Zheng ZhangJuan ChenYue XuPeijiang YuanWeiqiang XuHao DongChengqun WangFangyi Wan
- Topics
- Advanced Manufacturing and Logistics Optimization (4 papers)Advanced Neural Network Applications (4 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE AccessSensorsSustainability
In The Last Decade
Qing Guo
29 papers receiving 517 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 195
- Industrial and Manufacturing Engineering 177
- Aerospace Engineering 68
- Artificial Intelligence 66
- Computer Networks and Communications 65
Countries citing papers authored by Qing Guo
This map shows the geographic impact of Qing Guo'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 Qing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Guo more than expected).
Fields of papers citing papers by Qing Guo
This network shows the impact of papers produced by Qing Guo. 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 Qing Guo. The network helps show where Qing Guo may publish in the future.
Co-authorship network of co-authors of Qing Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Guo. A scholar is included among the top collaborators of Qing Guo 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 Qing Guo. Qing Guo 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 | 0 | |
| 3 | 1 | |
| 4 | 55 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 96 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 5 | |
| 18 | Optimal grade transition for quality control of continuous polymerization reactor | 0 |
| 19 | 1 | |
| 20 | 0 |
About Qing Guo
Qing Guo is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 34 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (4 papers), Advanced Neural Network Applications (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (177 citations), Computer Vision and Pattern Recognition (195 citations) and Media Technology (59 citations). Qing Guo has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Zheng Zhang, Juan Chen, Yue Xu, Peijiang Yuan, Weiqiang Xu, Hao Dong, Chengqun Wang, Fangyi Wan, Chunlin Zhang and Di Zhou. Their work appears in journals such as IEEE Access, Sensors 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.