Yi Guo

4.3k total citations
215 papers, 3.0k citations indexed

About

Yi Guo is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yi Guo has authored 215 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Control and Systems Engineering, 55 papers in Computer Networks and Communications and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yi Guo's work include Distributed Control Multi-Agent Systems (39 papers), Adaptive Control of Nonlinear Systems (21 papers) and Robotic Path Planning Algorithms (19 papers). Yi Guo is often cited by papers focused on Distributed Control Multi-Agent Systems (39 papers), Adaptive Control of Nonlinear Systems (21 papers) and Robotic Path Planning Algorithms (19 papers). Yi Guo collaborates with scholars based in United States, China and Australia. Yi Guo's co-authors include David J. Hill, Shuai Li, Lynne E. Parker, Wenjie Dong, Youyi Wang, Chao Jiang, Zhihua Qu, Damiano Zanotto, Brian Bingham and Yaonan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Physical Review B.

In The Last Decade

Yi Guo

195 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Guo United States	27	1.4k	992	644	608	345	215	3.0k
Erfu Yang United Kingdom	34	1.6k 1.1×	508 0.5×	759 1.2×	385 0.6×	354 1.0×	170	4.0k
Hung Manh La United States	36	722 0.5×	938 0.9×	927 1.4×	451 0.7×	436 1.3×	131	4.1k
L. Lapierre France	28	1.8k 1.3×	675 0.7×	879 1.4×	609 1.0×	1.3k 3.8×	128	3.3k
Yan Zhuang China	26	575 0.4×	627 0.6×	743 1.2×	307 0.5×	130 0.4×	182	2.5k
Văn Đức Nguyễn Vietnam	24	741 0.5×	482 0.5×	358 0.6×	976 1.6×	113 0.3×	199	2.7k
Francisco R. Rubio Spain	31	2.5k 1.8×	784 0.8×	252 0.4×	350 0.6×	208 0.6×	211	4.5k
Gerasimos Rigatos Greece	34	2.6k 1.8×	391 0.4×	325 0.5×	1.0k 1.7×	201 0.6×	330	4.0k
David Macii Italy	28	751 0.5×	517 0.5×	247 0.4×	1.9k 3.2×	215 0.6×	166	2.5k
Robin De Keyser Belgium	32	2.0k 1.5×	263 0.3×	739 1.1×	388 0.6×	92 0.3×	252	4.1k
Yueying Wang China	34	3.0k 2.1×	1.6k 1.6×	170 0.3×	438 0.7×	576 1.7×	172	4.4k

Countries citing papers authored by Yi Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yi Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Guo

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

Cao, Xianglin, Yi Guo, Yinyin Wei, et al.. (2025). L‐Carnitine Improves Muscle Nutrient Metabolism and Intestinal Health in High‐Fat‐Fed Carp ( Cyprinus carpio ). Aquaculture Nutrition. 2025(1). 5623889–5623889. 2 indexed citations

Guo, Yi. (2025). We Are Not There Yet: Why Is Humanoid Robotics Hard? [From the Editor’s Desk]. IEEE Robotics & Automation Magazine. 32(1). 4–5.

Han, Bing, et al.. (2024). CodeUNet: Autonomous underwater vehicle real visual enhancement via underwater codebook priors. ISPRS Journal of Photogrammetry and Remote Sensing. 215. 99–111. 3 indexed citations

Fan, Wei, et al.. (2024). AOCBLS: A novel active and online learning system for ECG arrhythmia classification with less labeled samples. Knowledge-Based Systems. 304. 112553–112553. 2 indexed citations

Wang, Zhuo, Ma Jun, Yi Guo, et al.. (2024). Cloud removal in multitemporal remote sensing imagery combining U-Net and spatiotemporal generative networks. National Remote Sensing Bulletin. 28(8). 2089–2100. 2 indexed citations

Guo, Yi, et al.. (2024). Deep Reinforcement Learning Based Mobile Robot Navigation in Crowd Environments. 513–519. 2 indexed citations

Guo, Yi, et al.. (2024). Motion optimization based on hierarchical iterative parameter learning for complicated trajectory. 44(4). 594–606.

Chen, Qing, et al.. (2024). Chart2Vec: A Universal Embedding of Context-Aware Visualizations. IEEE Transactions on Visualization and Computer Graphics. 31(4). 2167–2181. 1 indexed citations

Guo, Yi, et al.. (2023). Investigating the Factors Influencing the Comprehension of Idiom Variation in a Second Language. English Language Teaching. 16(2). 43–43.

10.

Xu, Xiaoyan, et al.. (2023). A power allocation strategy for fuel cell ship considering fuel cell performance difference. Scientific Reports. 13(1). 9905–9905. 1 indexed citations

11.

Guo, Yi. (2023). AI-Fused Automation [From the Editor’s Desk]. IEEE Robotics & Automation Magazine. 30(2). 4–4. 1 indexed citations

12.

Zaferiou, Antonia, et al.. (2022). Mobile Robot Assisted Gait Monitoring and Dynamic Margin of Stability Estimation. IEEE Transactions on Medical Robotics and Bionics. 4(2). 460–471. 5 indexed citations

13.

Li, Shuai, et al.. (2022). Reinforcement Learning-Based Adaptive Biofeedback Engine for Overground Walking Speed Training. IEEE Robotics and Automation Letters. 7(3). 8487–8494. 5 indexed citations

14.

Lai, Jiewen, et al.. (2022). Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation. IEEE Robotics and Automation Letters. 7(2). 5381–5388. 13 indexed citations

15.

Rao, Ashwini K., et al.. (2022). Transductive Learning Models for Accurate Ambulatory Gait Analysis in Elderly Residents of Assisted Living Facilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 124–134. 15 indexed citations

16.

Chen, Zhuo, et al.. (2022). Gait monitoring for older adults during guided walking: An integrated assistive robot and wearable sensor approach. SHILAP Revista de lepidopterología. 3. e28–e28. 2 indexed citations

17.

Rao, Ashwini K., et al.. (2020). Wearable Biofeedback System to Induce Desired Walking Speed in Overground Gait Training. Sensors. 20(14). 4002–4002. 16 indexed citations

18.

Guo, Yi, et al.. (2020). Corrections to “Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models”. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(4). 1046–1046. 2 indexed citations

19.

Guo, Yi, et al.. (2019). Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 191–202. 79 indexed citations

20.

Li, Jun, et al.. (2015). Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study. Physica A Statistical Mechanics and its Applications. 437. 304–321. 27 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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