Xiaolin Dai
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Control and Dynamics of Mobile Robots
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Mechanisms and Dynamics 4
- Robot Manipulation and Learning 3
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- Robotic Path Planning Algorithms 3
- Co-authors
- Dawei Gong (11 shared papers)Shuai Long (1 shared paper)Zhiwen Zhang Zhiwen Zhang (1 shared paper)Shijie Song (3 shared papers)Meng Wang (1 shared paper)Minglei Zhu (1 shared paper)Qitao Huang (2 shared papers)Junwei Han (2 shared papers)
- Journals
- Rare Metals (2 papers)Complexity (2 papers)Journal of Modern Optics (2 papers)Frontiers in Neurorobotics (2 papers)Materials Today Bio (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaolin Dai
33 papers receiving 413 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 200
- Control and Systems Engineering 118
- Industrial and Manufacturing Engineering 51
- Instrumentation 13
- Aerospace Engineering 80
Countries citing papers authored by Xiaolin Dai
This map shows the geographic impact of Xiaolin Dai'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 Xiaolin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Dai more than expected).
Fields of papers citing papers by Xiaolin Dai
This network shows the impact of papers produced by Xiaolin Dai. 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 Xiaolin Dai. The network helps show where Xiaolin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Dai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 175 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 39 | |
| 4 | 2021 | 27 | |
| 5 | 2015 | 19 | |
| 6 | 2022 | 14 | |
| 7 | 2013 | 10 | |
| 8 | 2012 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2008 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2009 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2006 | 3 | |
| 20 | 2023 | 3 |
About Xiaolin Dai
Xiaolin Dai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 36 papers that have together received 429 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (5 papers), Optical Systems and Laser Technology (5 papers), Advanced Measurement and Metrology Techniques (4 papers), Robotic Mechanisms and Dynamics (4 papers), Robotic Path Planning Algorithms (3 papers), Robot Manipulation and Learning (3 papers), Stellar, planetary, and galactic studies (3 papers) and Solidification and crystal growth phenomena (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Control and Systems Engineering (118 citations), Industrial and Manufacturing Engineering (51 citations), Instrumentation (13 citations) and Aerospace Engineering (80 citations). Xiaolin Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dawei Gong, Shuai Long, Zhiwen Zhang Zhiwen Zhang, Shijie Song, Meng Wang, Minglei Zhu, Qitao Huang, Junwei Han, Huijun Yu and Bonan Huang. Their work appears in journals such as Rare Metals, Complexity, Journal of Modern Optics, Frontiers in Neurorobotics and Materials Today Bio.
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.