Zhe Guo

578 total citations
57 papers, 350 citations indexed

About

Zhe Guo is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhe Guo has authored 57 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhe Guo's work include Face recognition and analysis (14 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (7 papers). Zhe Guo is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (7 papers). Zhe Guo collaborates with scholars based in China, Finland and United States. Zhe Guo's co-authors include Yangyu Fan, Ashok Samal, Yi Wang, Zheng Yan, Shu Liu, Bo Li, Jun Wan, Stan Z. Li, Laurence T. Yang and Tao Lei and has published in prestigious journals such as Information Sciences, Remote Sensing and Neurocomputing.

In The Last Decade

Zhe Guo

49 papers receiving 337 citations

Peers

Zhe Guo
Yun Tie China
Zhe Guo
Citations per year, relative to Zhe Guo Zhe Guo (= 1×) peers Yun Tie

Countries citing papers authored by Zhe Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zhe Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Guo. A scholar is included among the top collaborators of Zhe 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 Zhe Guo. Zhe 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.
Li, Xin, Zhe Guo, Xiaoyu Fan, et al.. (2025). 3-D Magnetic Angular Sensor Enabled by Spin-Orbit Torque. IEEE Transactions on Magnetics. 61(4). 1–5.
2.
Zhang, Shuai, Yan Xu, Xin Li, et al.. (2025). Initialization-Free Programmable Spin-Logic Gate in a Single Spin-Orbit Torque Device. Engineering. 51. 215–220.
3.
Fan, Yangyu, et al.. (2024). MaskRecon: High-quality human reconstruction via masked autoencoders using a single RGB-D image. Neurocomputing. 609. 128487–128487.
4.
Guo, Zhe, et al.. (2024). MS-GAN: Learn to Memorize Scene for Unpaired SAR-to-Optical Image Translation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 11467–11484. 8 indexed citations
5.
Guo, Zhe, et al.. (2024). Learning SAR-to-Optical Image Translation via Diffusion Models With Color Memory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14454–14470. 7 indexed citations
6.
Fan, Yangyu, et al.. (2024). Concept-guided multi-level attention network for image emotion recognition. Signal Image and Video Processing. 18(5). 4313–4326. 2 indexed citations
7.
Guo, Zhe, et al.. (2024). POST: Prototype‐oriented similarity transfer framework for cross‐domain facial expression recognition. Computer Animation and Virtual Worlds. 35(3). 1 indexed citations
8.
Liu, Yu, et al.. (2023). Zoom-GAN: learn to colorize multi-scale targets. The Visual Computer. 39(8). 3299–3310. 1 indexed citations
9.
Guo, Zhe, et al.. (2023). Image emotion analysis based on semantic concepts. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 41(4). 784–793.
10.
Guo, Zhe, et al.. (2023). LTVAL: Label Transfer Virtual Adversarial Learning framework for source-free facial expression recognition. Multimedia Tools and Applications. 83(2). 5207–5228.
12.
Wang, Yi, et al.. (2021). DTI Atlases Evaluations. Neuroinformatics. 20(2). 327–351. 3 indexed citations
13.
Wang, Yi, Yu Shen, Guoqin Li, et al.. (2017). Evaluations of diffusion tensor image registration based on fiber tractography. BioMedical Engineering OnLine. 16(1). 9–9. 15 indexed citations
15.
Guo, Zhe, et al.. (2017). Multi-thread block terrain dynamic scheduling based on three-dimensional array and Sudoku. Multimedia Tools and Applications. 77(5). 5819–5835. 1 indexed citations
16.
Guo, Zhe, Yuan Li, Yi Wang, et al.. (2016). A Method of Effective Text Extraction for Complex Video Scene. Mathematical Problems in Engineering. 2016. 1–11. 6 indexed citations
17.
18.
Liu, Shixin, Zhe Guo, & Jiafu Tang. (2010). Constraint Propagation for Cumulative Scheduling Problems with Precedences. ACTA AUTOMATICA SINICA. 36(4). 603–609. 1 indexed citations
19.
Guo, Zhe. (2009). A Quadric Error Metrics Based Feature Reserving Simplification Method. 1 indexed citations
20.
Guo, Zhe. (2006). 3D Face Registration Based on Accurate Principal Axes Analysis and ICP. Computer Engineering and Applications Journal. 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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