Yu Guo

744 total citations
83 papers, 493 citations indexed

About

Yu Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yu Guo has authored 83 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in Yu Guo's work include Robotics and Sensor-Based Localization (8 papers), Robotics and Automated Systems (7 papers) and Advanced Neural Network Applications (6 papers). Yu Guo is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotics and Automated Systems (7 papers) and Advanced Neural Network Applications (6 papers). Yu Guo collaborates with scholars based in China, Jordan and United States. Yu Guo's co-authors include Zhenqiang Mi, Mohammad S. Obaidat, Yang Yang, Chi Kin Chan, C. K. Chan, Xiao Wei Shi, Lei Chen, Lu Zou, Qingqing Yang and Lixing Zhou and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Yu Guo

66 papers receiving 475 citations

Peers

Yu Guo
Yu Guo
Citations per year, relative to Yu Guo Yu Guo (= 1×) peers Jiangbo Qian

Countries citing papers authored by Yu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Guo. A scholar is included among the top collaborators of Yu 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 Yu Guo. Yu 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, Yu, et al.. (2026). A towards-foundry strategy for creating fully interconnected two-dimensional microprocessors. Nature Electronics. 9(2). 159–169.
4.
Guo, Yu, et al.. (2026). Deep Reinforcement Learning for Competitive DER Pricing Problem of Virtual Power Plants. CSEE Journal of Power and Energy Systems.
6.
Guo, Yu, Ruiheng Zhang, Tingting Song, & Xiaojuan Ban. (2025). Efficient Computation Offloading and Data Transmission Strategy for 3D Object Detection in Edge Computing Networks. International Journal of Communication Systems. 38(4). 2 indexed citations
7.
Lin, Zhaowu, et al.. (2025). Hydrodynamic forces on a spherical particle in a plane Couette flow. International Journal of Multiphase Flow. 192. 105341–105341.
8.
Yao, Chao, et al.. (2025). HPIPainting: A Hand-Pen Interaction for VR Painting. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–26. 1 indexed citations
9.
Ban, Xiaojuan, Hong‐Ning Dai, Yao Zhao, et al.. (2025). Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects. IEEE/CAA Journal of Automatica Sinica. 12(3). 528–538. 1 indexed citations
10.
Guo, Yu, et al.. (2025). Quantum Stochastic Communication via High-Dimensional Entanglement. Physical Review Letters. 135(12). 120802–120802.
11.
Guo, Yu, Ruiheng Zhang, Zhenqiang Mi, et al.. (2024). An Object-Driven Navigation Strategy Based on Active Perception and Semantic Association. IEEE Robotics and Automation Letters. 9(8). 7110–7117. 2 indexed citations
12.
Yang, Feng, et al.. (2023). Adaptive Differential Privacy Mechanism Based on Entropy Theory for Preserving Deep Neural Networks. Mathematics. 11(2). 330–330. 15 indexed citations
13.
Liu, Meiqin, et al.. (2023). Multi-frame Correlated Representation Network for Video Super-Resolution. 1–7. 3 indexed citations
14.
Hu, Xiao‐Min, Bi‐Heng Liu, Yu Guo, et al.. (2022). High-Dimensional Bell Test without Detection Loophole. Physical Review Letters. 129(6). 60402–60402. 14 indexed citations
15.
Guo, Yu, et al.. (2022). A differential privacy based prototypical network for medical data learning. 649–655. 1 indexed citations
16.
Guo, Yue Leon, Yu Guo, Ruiping Gu, et al.. (2022). Characteristics and Visual Prognosis of Pediatric Open Globe Injury in Shanghai, China. Ophthalmic Research. 65(3). 328–334. 3 indexed citations
17.
Guo, Yu, Yun Zhang, Zhenqiang Mi, Yang Yang, & Mohammad S. Obaidat. (2019). Distributed task allocation algorithm based on connected dominating set for WSANs. Ad Hoc Networks. 89. 107–118. 11 indexed citations
18.
Guo, Yu, et al.. (2018). A Complete Feasible and Nodes-Grouped Scheduling Algorithm for Wireless Rechargeable Sensor Networks in Tunnels. Sensors. 18(10). 3410–3410. 11 indexed citations
19.
Mi, Zhenqiang, et al.. (2018). An Improved Apriori Algorithm Applied to Mining Ancient Chinese Poems. 2336. 1–5.
20.
Guo, Yu & Junxiang Li. (2016). An RFID/WSN-based Monitoring System of Smart Logistics on E-Commerce. 3 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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