Qing Guo
Impact in
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- Advanced Manufacturing and Logistics Optimization
- Industrial Vision Systems and Defect Detection
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
Papers in
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- Robotic Path Planning Algorithms 5
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 3
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- Fault Detection and Control Systems 4
- Advanced Control Systems Optimization 2
- Co-authors
- Zheng Zhang (4 shared papers)Juan Chen (8 shared papers)Yue Xu (1 shared paper)Peijiang Yuan (2 shared papers)Dezhao Liu (1 shared paper)Min Zhao (1 shared paper)Chuanjun Dai (1 shared paper)Yì Wáng (1 shared paper)
In The Last Decade
Qing Guo
33 papers receiving 587 citations
Peers
Comparison fields: 5 of 76
- Industrial and Manufacturing Engineering 190
- Computer Vision and Pattern Recognition 207
- Media Technology 60
- Automotive Engineering 54
- Water Science and Technology 51
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-authors
The 25 scholars most cited alongside Qing Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2018 | 96 | |
| 3 | 2023 | 81 | |
| 4 | 2019 | 65 | |
| 5 | 2019 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2022 | 32 | |
| 8 | 2008 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 21 | |
| 11 | 2017 | 14 | |
| 12 | 2019 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2011 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2023 | 3 |
About Qing Guo
Qing Guo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 38 papers that have together received 596 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Advanced Neural Network Applications (4 papers), Fault Detection and Control Systems (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Control Systems Optimization (2 papers) and Military Defense Systems Analysis (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (190 citations), Computer Vision and Pattern Recognition (207 citations), Media Technology (60 citations), Automotive Engineering (54 citations) and Water Science and Technology (51 citations). Qing Guo has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Zheng Zhang, Juan Chen, Yue Xu, Peijiang Yuan, Dezhao Liu, Min Zhao, Chuanjun Dai, Yì Wáng, Weiqiang Xu and Di Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Instrumentation and Measurement, IEEE Geoscience and Remote Sensing Letters, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN and Journal of Field Robotics.
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.