Qing Guo

5.5k total citations · 1 hit paper
119 papers, 2.3k citations indexed

About

Qing Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qing Guo has authored 119 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Qing Guo's work include Adversarial Robustness in Machine Learning (27 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Image Processing Techniques (13 papers). Qing Guo is often cited by papers focused on Adversarial Robustness in Machine Learning (27 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Image Processing Techniques (13 papers). Qing Guo collaborates with scholars based in China, Singapore and United States. Qing Guo's co-authors include Wei Feng, Song Wang, Felix Juefei-Xu, Yang Liu, Liang Wan, Ce Zhou, Rui Huang, Xiaofei Xie, Lei Ma and Yihao Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Qing Guo

105 papers receiving 2.3k citations

Hit Papers

Learning Dynamic Siamese Network for Visual Object Tracking 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Dynamic Siamese Network for Visual Object Tracking
    2017 598 citations Qing Guo, Wei Feng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Guo China 23 1.7k 580 299 239 190 119 2.3k
Bohyung Han South Korea 33 3.2k 1.8× 1.3k 2.2× 317 1.1× 177 0.7× 223 1.2× 104 4.0k
Xiangyuan Lan China 28 2.8k 1.6× 394 0.7× 406 1.4× 175 0.7× 224 1.2× 60 3.3k
Bo Wu United States 21 2.6k 1.5× 876 1.5× 255 0.9× 226 0.9× 165 0.9× 62 2.9k
Helmut Gräbner Switzerland 23 3.1k 1.8× 593 1.0× 543 1.8× 174 0.7× 164 0.9× 79 3.6k
Anthony Dick Australia 27 3.1k 1.8× 1.1k 1.9× 644 2.2× 117 0.5× 158 0.8× 83 3.6k
Ebroul Izquierdo United Kingdom 25 2.0k 1.2× 345 0.6× 141 0.5× 210 0.9× 202 1.1× 320 2.7k
Weilin Huang China 24 2.6k 1.5× 840 1.4× 204 0.7× 79 0.3× 687 3.6× 47 3.1k
Wankou Yang China 27 2.2k 1.3× 759 1.3× 287 1.0× 66 0.3× 483 2.5× 164 3.0k

Countries citing papers authored by Qing Guo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Jia, Xiaojun, Qing Guo, Ke Ma, et al.. (2025). Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8489–8505.
2.
Yang, Mingchuan, et al.. (2025). Double grouping-based group handover scheme for mega LEO satellite networks. China Communications. 22(2). 77–94. 1 indexed citations
3.
Guo, Qing, et al.. (2025). IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1093–1106. 2 indexed citations
4.
Pang, Shanmin, et al.. (2024). Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models. IEEE Transactions on Information Forensics and Security. 20. 1333–1348. 3 indexed citations
5.
Huang, Yihao, Felix Juefei-Xu, Qing Guo, et al.. (2024). Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21169–21178. 9 indexed citations
6.
Li, Tianlin, et al.. (2024). RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. 1–13. 4 indexed citations
7.
Jia, Xiaojun, et al.. (2024). Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Transactions on Information Forensics and Security. 19. 4560–4571. 2 indexed citations
8.
Huang, Yihao, Qing Guo, Felix Juefei-Xu, et al.. (2024). Texture Re-Scalable Universal Adversarial Perturbation. IEEE Transactions on Information Forensics and Security. 19. 8291–8305. 3 indexed citations
9.
Guo, Qing, Zhijie Wang, Felix Juefei-Xu, et al.. (2024). CarveNet: Carving Point-Block for Complex 3D Shape Completion. IEEE Transactions on Multimedia. 27. 1047–1058. 1 indexed citations
10.
Huang, Yihao, et al.. (2023). ALA: Naturalness-aware Adversarial Lightness Attack. 2418–2426. 6 indexed citations
11.
Xie, Xiaofei, et al.. (2023). DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems. Monash University Research Portal (Monash University). 68–80. 5 indexed citations
12.
Guo, Qing, et al.. (2023). One-Pot Multi-frame Denoising. International Journal of Computer Vision. 132(2). 515–536.
13.
14.
Huang, Yihao, Felix Juefei-Xu, Qing Guo, Geguang Pu, & Yang Liu. (2023). Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network. IEEE Transactions on Multimedia. 26. 5729–5740. 1 indexed citations
15.
Huang, Yihao, Felix Juefei-Xu, Qing Guo, Yang Liu, & Geguang Pu. (2023). Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 6949–6962. 10 indexed citations
16.
Huang, Yihao, Felix Juefei-Xu, Qing Guo, Yang Liu, & Geguang Pu. (2022). FakeLocator: Robust Localization of GAN-Based Face Manipulations. IEEE Transactions on Information Forensics and Security. 17. 2657–2672. 58 indexed citations
17.
Guo, Qing, Felix Juefei-Xu, Xiaofei Xie, et al.. (2020). Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 33. 975–985. 3 indexed citations
18.
Liu, Chang, et al.. (2019). Multi-UAVs Cooperative Coverage Reconnaissance with Neural Network and Genetic Algorithm. 81–86. 7 indexed citations
19.
Guo, Qing, et al.. (2018). Improved flower pollination algorithm for multimodal function optimization. Beijing Hangkong Hangtian Daxue xuebao. 44(4). 828. 1 indexed citations
20.
Guo, Qing, et al.. (2007). Decision Tree based Duration Prediction in Mandarin TTS System.. 17. 97–106. 7 indexed citations

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.

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