Liwei Shi
Impact in
- Ocean Engineering top 0.5%
- Underwater Vehicles and Communication Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Underwater Vehicles and Communication Systems 61
-
- Advanced Sensor and Energy Harvesting Materials 20
- Robotic Locomotion and Control 20
- Dielectric materials and actuators 19
- Co-authors
- Shuxiang Guo (103 shared papers)Kinji Asaka (17 shared papers)Yan‐Lin He (23 shared papers)Shaowu Pan (21 shared papers)Nan Xiao (10 shared papers)Huiming Xing (31 shared papers)Xihuan Hou (27 shared papers)Chunfeng Yue (6 shared papers)
- Journals
- Microsystem Technologies (6 papers)Sensors (5 papers)Applied Sciences (2 papers)IEEE Sensors Journal (2 papers)Mechanism and Machine Theory (2 papers)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Liwei Shi
101 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 80
- Ocean Engineering 923
- Computer Vision and Pattern Recognition 540
- Biomedical Engineering 1.1k
- Condensed Matter Physics 244
- Control and Systems Engineering 413
Countries citing papers authored by Liwei Shi
This map shows the geographic impact of Liwei Shi'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 Liwei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Shi more than expected).
Fields of papers citing papers by Liwei Shi
This network shows the impact of papers produced by Liwei Shi. 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 Liwei Shi. The network helps show where Liwei Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Liwei Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2018 | 73 | |
| 3 | 2015 | 73 | |
| 4 | 2019 | 69 | |
| 5 | 2013 | 68 | |
| 6 | 2018 | 65 | |
| 7 | 2013 | 65 | |
| 8 | 2019 | 59 | |
| 9 | 2019 | 59 | |
| 10 | 2012 | 55 | |
| 11 | 2021 | 54 | |
| 12 | 2022 | 54 | |
| 13 | 2016 | 52 | |
| 14 | 2012 | 47 | |
| 15 | 2021 | 47 | |
| 16 | 2019 | 45 | |
| 17 | 2015 | 44 | |
| 18 | 2019 | 42 | |
| 19 | 2019 | 42 | |
| 20 | 2017 | 40 |
About Liwei Shi
Liwei Shi is a scholar working on Ocean Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (61 papers), Modular Robots and Swarm Intelligence (25 papers), Robotic Path Planning Algorithms (20 papers), Advanced Sensor and Energy Harvesting Materials (20 papers), Robotic Locomotion and Control (20 papers), Dielectric materials and actuators (19 papers), Robotics and Sensor-Based Localization (16 papers) and Micro and Nano Robotics (14 papers). The work is most often cited by research in Ocean Engineering (923 citations), Computer Vision and Pattern Recognition (540 citations), Biomedical Engineering (1.1k citations), Condensed Matter Physics (244 citations) and Control and Systems Engineering (413 citations). Liwei Shi has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Shuxiang Guo, Kinji Asaka, Yan‐Lin He, Shaowu Pan, Nan Xiao, Huiming Xing, Xihuan Hou, Chunfeng Yue, Maoxun Li and Ping Guo. Their work appears in journals such as Microsystem Technologies, Sensors, Applied Sciences, IEEE Sensors Journal and Mechanism and Machine Theory.
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.