Sheng Guo

892 total citations
32 papers, 300 citations indexed

About

Sheng Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sheng Guo has authored 32 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Sheng Guo's work include Domain Adaptation and Few-Shot Learning (4 papers), Ionosphere and magnetosphere dynamics (4 papers) and GNSS positioning and interference (4 papers). Sheng Guo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Ionosphere and magnetosphere dynamics (4 papers) and GNSS positioning and interference (4 papers). Sheng Guo collaborates with scholars based in China, Singapore and Poland. Sheng Guo's co-authors include Linlin Shen, Qiufu Li, Zhihui Lai, Zijun Chen, Chao Wang, Yunfeng Zhang, Chuan Zhou, Xu Zhang, Jin Yang and Yuzhang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Food Chemistry.

In The Last Decade

Sheng Guo

26 papers receiving 295 citations

Peers

Sheng Guo
Sheng Guo
Citations per year, relative to Sheng Guo Sheng Guo (= 1×) peers Ashrani Aizzuddin Abd. Rahni

Countries citing papers authored by Sheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Guo. A scholar is included among the top collaborators of Sheng 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 Sheng Guo. Sheng 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.
Guo, Sheng, et al.. (2025). Research Progress on Preparation Technologies and Performance of Straight-pore Electrode Structures for Solid Oxide Cells. Journal of Inorganic Materials. 40(12). 1311–1311.
2.
Guo, Sheng, et al.. (2025). Extraction and Evaluation of Ionospheric Electron Density Using Undifferenced Uncombined GPS Radio Occultation Phase Measurements. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
3.
Liang, Xiaofei, et al.. (2025). Mechanisms and structure-activity relationships of natural polysaccharides as potential anti-osteoporosis agents: A review. International Journal of Biological Macromolecules. 298. 139852–139852. 4 indexed citations
4.
Guo, Sheng, et al.. (2025). Optimizing GPS L2P Radio Occultation Processing for COSMIC-2 Atmospheric Bending Angle Retrieval. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–10. 1 indexed citations
5.
Wei, Yan, Mingxuan Wang, Sheng Guo, et al.. (2024). Valorizing Lycii fructus waste residue into polysaccharide-rich extracts: Extraction methodologies, physicochemical characterization, in vitro activities and economic feasibility. International Journal of Biological Macromolecules. 279(Pt 2). 135204–135204. 1 indexed citations
6.
Liu, Pei, et al.. (2024). Integrating different detection techniques and data analysis methods for comprehensive food authenticity verification. Food Chemistry. 463(Pt 4). 141471–141471. 10 indexed citations
7.
Chen, Caili, Shuming Sun, Sheng Guo, et al.. (2024). Bovine serum albumin-bound homologous targeted nanoparticles for breast cancer combinatorial therapy. International Journal of Biological Macromolecules. 281(Pt 1). 136090–136090. 4 indexed citations
8.
Zhang, Yunfeng, Chuan Zhou, Sheng Guo, et al.. (2024). Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer. Journal of Cancer Research and Clinical Oncology. 150(2). 78–78. 25 indexed citations
9.
Jin, Cheng & Sheng Guo. (2024). ADSOC: A novel automatic and deterministic shaft orbit classification framework for large rotating machinery. Mechanical Systems and Signal Processing. 215. 111399–111399. 2 indexed citations
10.
Wang, Hanlin, Yilu Wu, Sheng Guo, & Limin Wang. (2024). PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 2107–2124.
11.
Zheng, Lin, et al.. (2023). Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. ACM Transactions on Information Systems. 41(3). 1–26. 12 indexed citations
12.
Chen, Yuanyuan, Zichen Chen, Sheng Guo, et al.. (2023). Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15485–15493. 6 indexed citations
13.
Shen, Yujun, Yinghao Xu, Sida Peng, et al.. (2023). Learning 3D-Aware Image Synthesis with Unknown Pose Distribution. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13062–13071. 7 indexed citations
14.
Wang, Dong, et al.. (2023). COVID-19 Vaccine in Renal Transplant Recipients: A Bibliometric-Based Analysis of Trends. Transplantation Proceedings. 55(8). 1771–1783.
15.
16.
Zhang, Shaocheng, et al.. (2023). Quality Assessment of the Atmospheric Radio Occultation Profiles from FY-3E/GNOS-II BDS and GPS Measurements. Remote Sensing. 15(22). 5313–5313. 2 indexed citations
17.
Guo, Sheng, et al.. (2023). CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3145–3154. 3 indexed citations
18.
Zhou, Chuan, Yunfeng Zhang, Sheng Guo, et al.. (2023). Multiparametric MRI radiomics in prostate cancer for predicting Ki-67 expression and Gleason score: a multicenter retrospective study. Discover Oncology. 14(1). 133–133. 7 indexed citations
19.
Chen, Zijun, et al.. (2023). Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure. Frontiers in Cardiovascular Medicine. 10. 21 indexed citations
20.
Wang, Yaqing, Xin Tian, Haoyi Xiong, et al.. (2022). RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. 1078–1084. 2 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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