Xuesi Li

525 total citations
34 papers, 422 citations indexed

About

Xuesi Li is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Xuesi Li has authored 34 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Xuesi Li's work include Fermentation and Sensory Analysis (5 papers), Control and Dynamics of Mobile Robots (4 papers) and Robotic Path Planning Algorithms (4 papers). Xuesi Li is often cited by papers focused on Fermentation and Sensory Analysis (5 papers), Control and Dynamics of Mobile Robots (4 papers) and Robotic Path Planning Algorithms (4 papers). Xuesi Li collaborates with scholars based in China, Taiwan and Japan. Xuesi Li's co-authors include Haobin Shi, Kao‐Shing Hwang, Wei Pan, Genjiu Xu, Kangli Wang, Xiaolong Hu, Fuqiang Li, Peixin He, Zhiqiang Lin and An Du and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Xuesi Li

32 papers receiving 414 citations

Peers

Xuesi Li
Xuesi Li
Citations per year, relative to Xuesi Li Xuesi Li (= 1×) peers Yuqian Zhang

Countries citing papers authored by Xuesi Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuesi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuesi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuesi Li. A scholar is included among the top collaborators of Xuesi Li 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 Xuesi Li. Xuesi Li 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, Xuesi, et al.. (2025). Neuro-Modulation Analysis Based on Muscle Synergy Graph Neural Network in Human Locomotion. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1381–1391.
4.
Li, Xuesi, Ang Li, Reo Kometani, et al.. (2024). An olfactory figure-ground segregation: The resistance fluctuation analysis of acetone gas for acetone/random gas mixtures recognition. Sensors and Actuators A Physical. 376. 115627–115627. 4 indexed citations
5.
Li, Xuesi, et al.. (2023). A Motion Control Method For Agent Based On Dyna-Q Algorithm. 33. 274–278. 2 indexed citations
6.
Li, Xuesi, Jingchen Li, & Haobin Shi. (2023). A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control. Applied Intelligence. 53(18). 21433–21447. 8 indexed citations
7.
Li, Xuesi, Jingchen Li, Haobin Shi, & Kao‐Shing Hwang. (2023). A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 640–649. 3 indexed citations
8.
Hui, Ming, Zhongke Sun, Xuesi Li, et al.. (2022). Comparative analysis of the microbiotas and physicochemical properties inside and outside medium-temperature Daqu during the fermentation and storage. Frontiers in Microbiology. 13. 934696–934696. 17 indexed citations
10.
Chen, Junjie, et al.. (2019). Situation Assessment for Soccer Robots using Deep Neural Network. 1–4. 1 indexed citations
11.
Cheng, Lingxiao, et al.. (2019). A Novel Decision-making Method Based on Reinforcement Learning for Underwater Robots. 364–369. 1 indexed citations
12.
13.
Hu, Yong, et al.. (2017). Creation and Annihilation of Skyrmions in the Frustrated Magnets with Competing Exchange Interactions. Scientific Reports. 7(1). 16079–16079. 27 indexed citations
14.
15.
Hu, Yong, et al.. (2017). Role of ferromagnetic spin structure in magnetization reversal and exchange bias phenomena. Journal of Physics D Applied Physics. 51(5). 55001–55001. 12 indexed citations
16.
Li, Xuesi, et al.. (2017). A novel K-means classification method with genetic algorithm. 40–44. 2 indexed citations
17.
Shi, Haobin, et al.. (2016). A novel fuzzy omni-directional gait planning algorithm for biped robot. 71–76. 4 indexed citations
18.
Shi, Haobin, Xuesi Li, Kao‐Shing Hwang, Wei Pan, & Genjiu Xu. (2016). Decoupled Visual Servoing With Fuzzy Q-Learning. IEEE Transactions on Industrial Informatics. 14(1). 241–252. 101 indexed citations
19.
Zhao, Yi, et al.. (2015). An overview of object detection and tracking. 280–286. 12 indexed citations
20.
Li, Xuesi, et al.. (1982). Studies on the Morphology of Macracanthorhynchus hirudinaceus (Pallas,1781) and Investigation of Infection Rate of Pig in Slaughter-Houses in Tangshan. 3(3). 295–301. 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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