Qing Guo
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Media Technology top 2%
- Topics
- Adversarial Robustness in Machine Learning (27 papers)Video Surveillance and Tracking Methods (16 papers)Advanced Image Processing Techniques (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Qing Guo
105 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 580
- Aerospace Engineering 299
- Safety, Risk, Reliability and Quality 239
- Media Technology 190
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 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 58 | |
| 18 | 105 | |
| 19 | ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack | 2 |
| 20 | High Quality Prosody Generation in a Text-to-speech System | 2 |
About Qing Guo
Qing Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 119 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (27 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Safety, Risk, Reliability and Quality (239 citations) and Media Technology (190 citations). Qing Guo has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Feng, Song Wang, Felix Juefei-Xu, Yang Liu, Liang Wan, Ce Zhou, Rui Huang, Lei Ma, Xiaofei Xie and Yihao Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.