Yong Guo

2.1k total citations · 2 hit papers
43 papers, 1.1k citations indexed

About

Yong Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Immunology. According to data from OpenAlex, Yong Guo has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 5 papers in Immunology. Recurrent topics in Yong Guo's work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Adversarial Robustness in Machine Learning (5 papers). Yong Guo is often cited by papers focused on Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Adversarial Robustness in Machine Learning (5 papers). Yong Guo collaborates with scholars based in China, Australia and United States. Yong Guo's co-authors include Mingkui Tan, Jian Chen, Qi Chen, Junzhou Huang, Jinhui Zhu, Qingyao Wu, Zhuangwei Zhuang, Bohan Zhuang, Jiezhang Cao and Jingdong Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Vaccine.

In The Last Decade

Yong Guo

39 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

2020 256 citations Yong Guo, Jian Chen et al. profile →
DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model

2024 137 citations Zhenhua Xu, Enze Xie et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yong Guo China	14	729	400	204	49	46	43	1.1k
Yanwei Li China	15	821 1.1×	260 0.7×	100 0.5×	54 1.1×	45 1.0×	47	1.2k
De-An Huang United States	18	1.1k 1.5×	408 1.0×	137 0.7×	84 1.7×	5 0.1×	45	1.4k
Lijun Zhao China	19	465 0.6×	116 0.3×	40 0.2×	116 2.4×	23 0.5×	98	1.1k
Shudong Huang China	18	445 0.6×	411 1.0×	64 0.3×	38 0.8×	2 0.0×	53	899
Dapeng Chen China	23	1.4k 1.9×	351 0.9×	57 0.3×	22 0.4×	35 0.8×	51	1.8k
Richard Weiss United States	19	1.0k 1.4×	96 0.2×	92 0.5×	34 0.7×	13 0.3×	90	1.5k
Wei-Chao Chen United States	14	1.0k 1.4×	64 0.2×	183 0.9×	24 0.5×	11 0.2×	41	1.2k
Xingyu Li Canada	14	421 0.6×	553 1.4×	40 0.2×	10 0.2×	14 0.3×	57	1.2k
Lifeng Liu China	12	284 0.4×	108 0.3×	78 0.4×	27 0.6×	3 0.1×	45	579

Countries citing papers authored by Yong Guo

Since Specialization

Citations

This map shows the geographic impact of Yong 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 Yong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Guo more than expected).

Fields of papers citing papers by Yong Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong 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 Yong Guo. The network helps show where Yong Guo may publish in the future.

Co-authorship network of co-authors of Yong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Guo. A scholar is included among the top collaborators of Yong 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 Yong Guo. Yong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Zhenhua, Enze Xie, Zhao Zhen, et al.. (2024). DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model. IEEE Robotics and Automation Letters. 9(10). 8186–8193. 137 indexed citations breakdown →

Guo, Yong, et al.. (2024). Automated Dominative Subspace Mining for Efficient Neural Architecture Search. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9281–9297. 4 indexed citations

Guo, Yong, et al.. (2024). Tracking Algorithm Based on Attention Mechanism and Template Update. 1 indexed citations

Guo, Yong, et al.. (2024). Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation. IEEE Transactions on Image Processing. 33. 4215–4230. 7 indexed citations

Chen, Xiaoyong, et al.. (2024). Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions. 18263–18274.

Guo, Yong, Yin Zheng, Mingkui Tan, et al.. (2021). Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6501–6516. 31 indexed citations

Niu, Shuaicheng, Jiaxiang Wu, Yifan Zhang, et al.. (2021). Disturbance-immune weight sharing for neural architecture search. Neural Networks. 144. 553–564. 14 indexed citations

Jia, Wei, et al.. (2021). Deep View Synthesis via Self-Consistent Generative Network. IEEE Transactions on Multimedia. 24. 451–465. 10 indexed citations

Guo, Yong, et al.. (2021). Content-aware convolutional neural networks. Neural Networks. 143. 657–668. 6 indexed citations

10.

Cao, Jiezhang, Yong Guo, Qingyao Wu, et al.. (2020). Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 211–227. 11 indexed citations

11.

Guo, Yong, Qi Chen, Jian Chen, et al.. (2019). Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Transactions on Multimedia. 21(11). 2726–2737. 56 indexed citations

12.

Zhuang, Zhuangwei, Mingkui Tan, Bohan Zhuang, et al.. (2018). Discrimination-aware channel pruning for deep neural networks. neural information processing systems. 31. 883–894. 209 indexed citations

13.

Cao, Jiezhang, Yong Guo, Qingyao Wu, et al.. (2018). Adversarial Learning with Local Coordinate Coding. International Conference on Machine Learning. 707–715. 7 indexed citations

14.

Guo, Yong, Qingyao Wu, Chaorui Deng, Jian Chen, & Mingkui Tan. (2018). Double Forward Propagation for Memorized Batch Normalization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 12 indexed citations

15.

Lei, Hui, Weidong Jiang, & Yong Guo. (2013). Energy-efficient multi-hop uneven clustering algorithm for underwater acoustic sensor network. Journal of Computer Applications. 33(1). 124–126. 1 indexed citations

16.

Fu, Rong, et al.. (2009). A Method of Fabric Defect Detection Using Local Contrast Deviation. 1–5. 2 indexed citations

17.

Guo, Yong. (2005). Artificial Neural Network Model in Project Risk Analysis. 3 indexed citations

18.

Zhang, Linghua, et al.. (2005). Effect of transgenic expression of porcine interleukin-6 gene and CpG sequences on immune responses of newborn piglets inoculated with Pseudorabies attenuated vaccine. Research in Veterinary Science. 80(3). 281–286. 11 indexed citations

19.

Zhang, Linghua, et al.. (2005). CpG oligodinucleotides induce strong humoral and cellular responses to swine streptococcic septicemia vaccine in piglets in vivo. International Immunopharmacology. 6(3). 342–350. 11 indexed citations

20.

Han, Shuangyan & Yong Guo. (2002). Research progress of DNA vaccine. Pharmaceutical biotechnology. 9(4). 238–242. 1 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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