Tao Geng
- Biomedical Engineering top 5%
- Control and Systems Engineering top 5%
- Cognitive Neuroscience top 10%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Florentin WörgötterBernd PorrJohn Q. GanChakravarthini M. SaajYahya ElsayedConstantina LekakouJin ZhaoTommaso Ranzani
- Topics
- Robotic Locomotion and Control (24 papers)Prosthetics and Rehabilitation Robotics (21 papers)Muscle activation and electromyography studies (8 papers)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Tao Geng
56 papers receiving 967 citations
Peers
Comparison fields: 5 of 77
- Biomedical Engineering 554
- Control and Systems Engineering 350
- Cognitive Neuroscience 142
- Mechanical Engineering 133
- Aerospace Engineering 106
Countries citing papers authored by Tao Geng
This map shows the geographic impact of Tao Geng'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 Tao Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Geng more than expected).
Fields of papers citing papers by Tao Geng
This network shows the impact of papers produced by Tao Geng. 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 Tao Geng. The network helps show where Tao Geng may publish in the future.
Co-authorship network of co-authors of Tao Geng
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Geng. A scholar is included among the top collaborators of Tao Geng 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 Tao Geng. Tao Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 41 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | Generalized predictive control with constraints for autonomous underwater vehicle depth control | 1 |
| 11 | 60 | |
| 12 | 36 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 75 | |
| 17 | 25 | |
| 18 | Fast biped walking with a reflexive controller and real-time policy searching | 9 |
| 19 | 2 | |
| 20 | 10 |
About Tao Geng
Tao Geng is a scholar working on Control and Systems Engineering, Biomedical Engineering and Statistical and Nonlinear Physics, having authored 61 papers that have together received 993 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (24 papers), Prosthetics and Rehabilitation Robotics (21 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Control and Systems Engineering (350 citations), Biomedical Engineering (554 citations) and Cognitive Neuroscience (142 citations). Tao Geng has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Florentin Wörgötter, Bernd Porr, John Q. Gan, Chakravarthini M. Saaj, Yahya Elsayed, Constantina Lekakou, Jin Zhao, Tommaso Ranzani, Poramate Manoonpong and Arianna Menciassi. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Cerebral Cortex and IEEE Access.
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.