Di Ao

695 total citations
25 papers, 483 citations indexed

About

Di Ao is a scholar working on Automotive Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Di Ao has authored 25 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 10 papers in Biomedical Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Di Ao's work include Muscle activation and electromyography studies (10 papers), Vehicle Dynamics and Control Systems (7 papers) and Motor Control and Adaptation (6 papers). Di Ao is often cited by papers focused on Muscle activation and electromyography studies (10 papers), Vehicle Dynamics and Control Systems (7 papers) and Motor Control and Adaptation (6 papers). Di Ao collaborates with scholars based in China, Macao and Hong Kong. Di Ao's co-authors include Rong Song, Jinwu Gao, Mohammad S. Shourijeh, Benjamin J. Fregly, Carolynn Patten, Pak Kin Wong, Raymond Kai‐Yu Tong, Wei Huang, Rui Sun and Hang Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Di Ao

25 papers receiving 480 citations

Peers

Di Ao
Richard G. Ranky United States
Michael R. Tucker Switzerland
Garrett G. Grindle United States
Craig G. McDonald United States
Sang-In Park South Korea
Richard G. Ranky United States
Di Ao
Citations per year, relative to Di Ao Di Ao (= 1×) peers Richard G. Ranky

Countries citing papers authored by Di Ao

Since Specialization
Citations

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

Fields of papers citing papers by Di Ao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Ao

This figure shows the co-authorship network connecting the top 25 collaborators of Di Ao. A scholar is included among the top collaborators of Di Ao 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 Di Ao. Di Ao 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.
Ao, Di, et al.. (2024). Control of dynamic ride-hailing networks with a mixed fleet of autonomous vehicles and for-hire human drivers. Transportation Research Part E Logistics and Transportation Review. 189. 103680–103680. 4 indexed citations
2.
Li, Geng, et al.. (2024). Changes in walking function and neural control following pelvic cancer surgery with reconstruction. Frontiers in Bioengineering and Biotechnology. 12. 1389031–1389031. 2 indexed citations
3.
Ao, Di, et al.. (2024). Robust myoelectric pattern recognition methods for reducing users’ calibration burden: challenges and future. Frontiers in Bioengineering and Biotechnology. 12. 1329209–1329209. 4 indexed citations
4.
Ao, Di, et al.. (2024). Regulating transportation network companies with a mixture of autonomous vehicles and for-hire human drivers. Transportation Research Part A Policy and Practice. 180. 103975–103975. 3 indexed citations
5.
Ao, Di, Pak Kin Wong, & Wei Huang. (2023). Model predictive control allocation based on adaptive sliding mode control strategy for enhancing the lateral stability of four-wheel-drive electric vehicles. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 238(6). 1514–1534. 10 indexed citations
6.
Ye, Xingyu, et al.. (2022). Nonlinear model predictive trajectory following control with feedback compensation for autonomous four-wheel independent drive electric vehicles. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 238(2-3). 478–490. 3 indexed citations
7.
Ao, Di, et al.. (2022). EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation. Frontiers in Bioengineering and Biotechnology. 10. 962959–962959. 22 indexed citations
8.
Li, Geng, Di Ao, Mohammad S. Shourijeh, et al.. (2022). A computational method for estimating trunk muscle activations during gait using lower extremity muscle synergies. Frontiers in Bioengineering and Biotechnology. 10. 964359–964359. 10 indexed citations
9.
Li, Geng, Mohammad S. Shourijeh, Di Ao, et al.. (2022). Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction. Frontiers in Bioengineering and Biotechnology. 10. 855870–855870. 6 indexed citations
10.
Ao, Di, et al.. (2022). Advanced post‐impact safety and stability control for electric vehicles. IET Intelligent Transport Systems. 16(12). 1753–1767. 2 indexed citations
11.
Ao, Di, Wei Huang, Pak Kin Wong, & Jialin Li. (2021). Robust Backstepping Super-Twisting Sliding Mode Control for Autonomous Vehicle Path Following. IEEE Access. 9. 123165–123177. 30 indexed citations
12.
Shourijeh, Mohammad S., et al.. (2021). How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?. Frontiers in Bioengineering and Biotechnology. 8. 588908–588908. 36 indexed citations
13.
Li, Jialin, et al.. (2021). An adaptive second-order sliding mode for IWM electric vehicle lateral stability control based on super twist sliding mode observer. International Journal of Vehicle Design. 87(1/2/3/4). 146–146. 1 indexed citations
14.
Ao, Di, Mohammad S. Shourijeh, Carolynn Patten, & Benjamin J. Fregly. (2020). Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies. Frontiers in Computational Neuroscience. 14. 588943–588943. 26 indexed citations
15.
Guo, Daqiang, Cheng Qian, Di Ao, et al.. (2020). Computer Vision-enabled HCPS Assembly Workstations Swarm for Enhancing Responsiveness in Mass Customization. 214–219. 2 indexed citations
17.
Ao, Di, Rong Song, & Jinwu Gao. (2016). Movement Performance of Human–Robot Cooperation Control Based on EMG-Driven Hill-Type and Proportional Models for an Ankle Power-Assist Exoskeleton Robot. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(8). 1125–1134. 128 indexed citations
18.
Yang, Jin, Hang Su, Zhijun Li, Di Ao, & Rong Song. (2016). Adaptive control with a fuzzy tuner for cable-based rehabilitation robot. International Journal of Control Automation and Systems. 14(3). 865–875. 51 indexed citations
19.
Ao, Di, Rong Song, & Raymond Kai‐Yu Tong. (2015). Sensorimotor Control of Tracking Movements at Various Speeds for Stroke Patients as Well as Age-Matched and Young Healthy Subjects. PLoS ONE. 10(6). e0128328–e0128328. 21 indexed citations
20.
Ao, Di, Rui Sun, Raymond Kai‐Yu Tong, & Rong Song. (2014). Characterization of Stroke- and Aging-Related Changes in the Complexity of EMG Signals During Tracking Tasks. Annals of Biomedical Engineering. 43(4). 990–1002. 38 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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