Kaiwei Ma
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Soft Robotics and Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
- Bone Tissue Engineering Materials
- Advanced Surface Polishing Techniques
Papers in
-
- Soft Robotics and Applications 12
- Advanced Surface Polishing Techniques 5
-
- Robot Manipulation and Learning 4
- Co-authors
- Xingsong Wang (9 shared papers)Lan Li (4 shared papers)Qing Jiang (3 shared papers)Xiaoxiao Sun (2 shared papers)Huajian Teng (1 shared paper)Peng Wang (1 shared paper)Fengyu Xu (16 shared papers)Longfei Yang (1 shared paper)
In The Last Decade
Kaiwei Ma
34 papers receiving 541 citations
Peers
Comparison fields: 5 of 74
- Automotive Engineering 114
- Biomedical Engineering 300
- Control and Systems Engineering 105
- Mechanical Engineering 138
- Rehabilitation 16
Countries citing papers authored by Kaiwei Ma
This map shows the geographic impact of Kaiwei Ma'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 Kaiwei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiwei Ma more than expected).
Fields of papers citing papers by Kaiwei Ma
This network shows the impact of papers produced by Kaiwei Ma. 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 Kaiwei Ma. The network helps show where Kaiwei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiwei Ma, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2020 | 86 | |
| 3 | 2020 | 63 | |
| 4 | 2017 | 48 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 28 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 3 |
About Kaiwei Ma
Kaiwei Ma is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 38 papers that have together received 555 indexed citations. Recurring topics across this work include Soft Robotics and Applications (12 papers), Advanced Surface Polishing Techniques (5 papers), Advanced machining processes and optimization (4 papers), Robot Manipulation and Learning (4 papers), Luminescence Properties of Advanced Materials (3 papers), Water Quality Monitoring Technologies (3 papers), Hydraulic and Pneumatic Systems (3 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Automotive Engineering (114 citations), Biomedical Engineering (300 citations), Control and Systems Engineering (105 citations), Mechanical Engineering (138 citations) and Rehabilitation (16 citations). Kaiwei Ma has collaborated with scholars based in China and Australia. Frequent co-authors include Xingsong Wang, Lan Li, Qing Jiang, Xiaoxiao Sun, Huajian Teng, Peng Wang, Fengyu Xu, Longfei Yang, Liya Zhu and Dan Xia. Their work appears in journals such as Journal of Advanced Research, Environmental Science Water Research & Technology, Environmental Science and Pollution Research, Applied Thermal Engineering and Journal of Field Robotics.
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.