Kai Yuan

778 total citations
27 papers, 445 citations indexed

About

Kai Yuan is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Kai Yuan has authored 27 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 10 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Kai Yuan's work include Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (6 papers) and Muscle activation and electromyography studies (3 papers). Kai Yuan is often cited by papers focused on Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (6 papers) and Muscle activation and electromyography studies (3 papers). Kai Yuan collaborates with scholars based in United Kingdom, China and Taiwan. Kai Yuan's co-authors include Luis Caicedo, Zongguo Wen, Djavan De Clercq, Ruoxi Shang, Zhibin Li, Fei Fan, Kunyi Ni, Zhuxin Zhang, Qiang Wang and Noor Sajid and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Kai Yuan

25 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Yuan United Kingdom	10	120	110	94	62	54	27	445
Jiaxi Li China	10	71 0.6×	63 0.6×	131 1.4×	27 0.4×	39 0.7×	15	379
Qingfeng Wang China	13	65 0.5×	195 1.8×	92 1.0×	19 0.3×	21 0.4×	49	461
Yuanlin Chen China	13	130 1.1×	76 0.7×	170 1.8×	67 1.1×	28 0.5×	39	561
Lixing Ding China	16	120 1.0×	45 0.4×	230 2.4×	30 0.5×	28 0.5×	44	575
Liang Xin China	7	43 0.4×	16 0.1×	99 1.1×	82 1.3×	66 1.2×	8	479
Xijin Zhang China	15	37 0.3×	43 0.4×	36 0.4×	51 0.8×	20 0.4×	32	633
Changjiang Li China	12	34 0.3×	46 0.4×	35 0.4×	25 0.4×	28 0.5×	40	459
Jianhong Yang China	14	39 0.3×	65 0.6×	169 1.8×	20 0.3×	118 2.2×	54	610
Ramon G. Garcia Philippines	11	59 0.5×	62 0.6×	24 0.3×	50 0.8×	11 0.2×	96	408
Finn Haugen Norway	10	36 0.3×	125 1.1×	40 0.4×	33 0.5×	17 0.3×	30	288

Countries citing papers authored by Kai Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Kai Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yuan

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

Yuan, Kai, et al.. (2025). How can regional cultural symbols be integrated into public seating design? An innovative exploration using marbled porcelain patterns as an example. BioResources. 20(4). 8420–8438. 1 indexed citations

Yuan, Kai, Noor Sajid, Karl Friston, & Zhibin Li. (2023). Hierarchical generative modelling for autonomous robots. Nature Machine Intelligence. 5(12). 1402–1414. 10 indexed citations

Song, Zihao, et al.. (2023). Combat Intention Recognition of Air Targets Based on 1DCNN-BiLSTM. IEEE Access. 11. 134504–134516. 8 indexed citations

Yuan, Kai & Zhibin Li. (2022). Multi-expert synthesis for versatile locomotion and manipulation skills. Frontiers in Robotics and AI. 9. 970890–970890. 1 indexed citations

Yuan, Kai, et al.. (2022). Learning Perceptual Locomotion on Uneven Terrains Using Sparse Visual Observations. IEEE Robotics and Automation Letters. 7(4). 8611–8618. 4 indexed citations

Yuan, Kai, et al.. (2021). Reserach on force loading servo control method with feedforward compensation for electro-hydraulic servo actuator. IET conference proceedings.. 2020(3). 604–609.

Yuan, Kai, et al.. (2021). Learning Motor Skills of Reactive Reaching and Grasping of Objects. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 452–457. 3 indexed citations

Yuan, Kai, et al.. (2020). Decoding Motor Skills of Artificial Intelligence and Human Policies: A Study on Humanoid and Human Balance Control. IEEE Robotics & Automation Magazine. 27(2). 87–101. 6 indexed citations

Yuan, Kai, et al.. (2020). Unified Push Recovery Fundamentals: Inspiration from Human Study. Edinburgh Research Explorer. 10876–10882. 4 indexed citations

10.

Clercq, Djavan De, Zongguo Wen, Fei Fan, et al.. (2019). Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion. The Science of The Total Environment. 712. 134574–134574. 154 indexed citations

11.

Clercq, Djavan De, Ruoxi Shang, Kunyi Ni, et al.. (2019). Machine learning powered software for accurate prediction of biogas production: A case study on industrial-scale Chinese production data. Journal of Cleaner Production. 218. 390–399. 93 indexed citations

12.

Yuan, Kai & Zhibin Li. (2018). An Improved Formulation for Model Predictive Control of Legged Robots for Gait Planning and Feedback Control. Edinburgh Research Explorer (University of Edinburgh). 1–9. 8 indexed citations

13.

Hu, Wenbin, et al.. (2018). Comparison Study of Nonlinear Optimization of Step Durations and Foot Placement for Dynamic Walking. Edinburgh Research Explorer. 433–439. 11 indexed citations

14.

Li, June, et al.. (2017). MAC Frame Resolution and PHY Protocol Type Detection of IEEE 802.11. International Journal of Communications Network and System Sciences. 10(5). 43–53.

15.

Jia, Li & Kai Yuan. (2015). Auxiliary error and probability density function based neuro-fuzzy model and its application in batch processes. Chinese Journal of Chemical Engineering. 23(12). 2013–2019. 1 indexed citations

16.

Jia, Li & Kai Yuan. (2014). The probability density function based neuro-fuzzy model and its application in batch processes. Neurocomputing. 148. 216–221. 3 indexed citations

17.

Jia, Li & Kai Yuan. (2013). Time-varying neuro-fuzzy model using probability density function techniques for batch processes. Journal of Statistical Computation and Simulation. 84(6). 1249–1260. 2 indexed citations

18.

Yuan, Kai, et al.. (2003). On the Stability of Zero Dynamics of a Single‐Link Flexible Manipulator for a Class of Parametrized Outputs. Journal of Robotic Systems. 20(10). 581–586. 16 indexed citations

19.

Yuan, Kai. (1997). CONTROL OF SLEW MANEUVER OF A FLEXIBLE BEAM MOUNTED NON-RADIALLY ON A RIGID HUB: A GEOMETRICALLY EXACT MODELLING APPROACH. Journal of Sound and Vibration. 204(5). 795–806. 7 indexed citations

20.

Yuan, Kai, et al.. (1990). A Thermal Hydrodynamic Lubrication Analysis for Entrained Film Thickness in Cold Strip Rolling. Journal of Tribology. 112(1). 128–134. 9 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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