Yuanfang Guo

1.5k total citations
83 papers, 964 citations indexed

About

Yuanfang Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuanfang Guo has authored 83 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuanfang Guo's work include Advanced Graph Neural Networks (22 papers), Advanced Image Processing Techniques (16 papers) and Advanced Vision and Imaging (15 papers). Yuanfang Guo is often cited by papers focused on Advanced Graph Neural Networks (22 papers), Advanced Image Processing Techniques (16 papers) and Advanced Vision and Imaging (15 papers). Yuanfang Guo collaborates with scholars based in China, Hong Kong and Macao. Yuanfang Guo's co-authors include Xiaochun Cao, Rui Wang, Yanyang Yan, Wenqi Ren, Liang Yang, Oscar C. Au, Ketan Tang, Junhua Gu, Lu Fang and Yunhong Wang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Yuanfang Guo

75 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanfang Guo China	16	687	313	235	91	68	83	964
Chad Carson United States	7	1.4k 2.0×	225 0.7×	285 1.2×	19 0.2×	41 0.6×	13	1.5k
Jun Lang China	16	536 0.8×	142 0.5×	67 0.3×	29 0.3×	72 1.1×	53	783
Tinghui Zhou United States	9	962 1.4×	140 0.4×	78 0.3×	25 0.3×	63 0.9×	21	1.2k
Xiaogang Xu China	13	606 0.9×	80 0.3×	163 0.7×	37 0.4×	30 0.4×	32	768
Yihong Gong United States	12	400 0.6×	129 0.4×	138 0.6×	22 0.2×	142 2.1×	18	578
Hala S. El‐sayed Egypt	20	808 1.2×	226 0.7×	99 0.4×	41 0.5×	71 1.0×	77	1.1k
Xianglin Huang China	12	413 0.6×	318 1.0×	115 0.5×	20 0.2×	245 3.6×	61	760
Xiaolin Xiao China	17	669 1.0×	273 0.9×	176 0.7×	32 0.4×	19 0.3×	28	917
Liangyu Chen China	12	522 0.8×	192 0.6×	209 0.9×	11 0.1×	38 0.6×	61	818

Countries citing papers authored by Yuanfang Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yuanfang Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanfang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanfang Guo. A scholar is included among the top collaborators of Yuanfang 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 Yuanfang Guo. Yuanfang 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

Guo, Yuanfang, et al.. (2025). Anomaly-aware self-supervised feature learning for weakly supervised video anomaly detection. Computer Vision and Image Understanding. 257. 104379–104379. 1 indexed citations

Lu, Lin, Yu-Hsing Wang, Liang Zhang, & Yuanfang Guo. (2025). Robust Deepfake Detection via Perturbation Domain Alignment. 1–5.

Guo, Yuanfang, et al.. (2024). Exploring transferable and robust adversarial perturbation generation across network hierarchy. Neurocomputing. 610. 128620–128620.

Yang, Liang, Dongxiao He, Chuan Wang, et al.. (2024). GAUSS: GrAph-customized Universal Self-Supervised Learning. 582–593. 2 indexed citations

Guo, Yuanfang, et al.. (2024). Heterophily-aware graph attention network. Pattern Recognition. 156. 110738–110738. 7 indexed citations

Wang, Yunhong, et al.. (2024). AED-PADA: Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation. ACM Transactions on Multimedia Computing Communications and Applications. 21(2). 1–24.

Fu, Kun, Dongxiao He, Chuan Wang, et al.. (2024). Graph Contrastive Learning Reimagined: Exploring Universality. 641–651. 2 indexed citations

Wang, Yunhong, et al.. (2023). Deepfake Video Detection via Facial Action Dependencies Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5276–5284. 7 indexed citations

Guo, Yuanfang, et al.. (2023). Towards Video Anomaly Detection in the Real World: A Binarization Embedded Weakly-Supervised Network. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 4135–4140. 15 indexed citations

10.

Fu, Kun, Dongxiao He, Yuanfang Guo, et al.. (2023). Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. 481–489. 2 indexed citations

11.

Guo, Yuanfang, et al.. (2023). Binary Graph Convolutional Network With Capacity Exploration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3031–3046. 5 indexed citations

12.

Yang, Liang, Chuan Wang, Xiaochun Cao, et al.. (2023). Graph Neural Networks without Propagation. 469–477. 4 indexed citations

13.

Yang, Liang, Tingting Zhang, Dongxiao He, et al.. (2023). Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. 2955–2963. 2 indexed citations

14.

Guo, Yuanfang, et al.. (2023). Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding. IEEE Transactions on Big Data. 9(6). 1697–1710. 12 indexed citations

15.

Yang, Liang, et al.. (2021). Diverse Message Passing for Attribute with Heterophily. Neural Information Processing Systems. 34. 20 indexed citations

16.

Zhu, Shuyuan, et al.. (2020). A New Polyphase Down-Sampling-Based Multiple Description Image Coding. IEEE Transactions on Image Processing. 29. 5596–5611. 3 indexed citations

17.

Yang, Liang, Yuanfang Guo, Junhua Gu, et al.. (2020). Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Transactions on Cybernetics. 52(4). 2123–2136. 18 indexed citations

18.

Guo, Yuanfang, Oscar C. Au, Ketan Tang, & Jiahao Pang. (2014). Hiding a Secret Pattern into Color Halftone Images. Lecture notes in computer science. 8389. 465. 5 indexed citations

19.

Au, Oscar C., et al.. (2012). An adaptive frame complexity based rate quantization model for intra-frame rate control of High Efficiency Video Coding (HEVC). Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 7 indexed citations

20.

Guo, Yuanfang, Oscar C. Au, Lu Fang, & Ketan Tang. (2011). Data Hiding in Halftone Images by Dual Conjugate Error Diffusion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5 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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