Tin Lai
Impact in
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 11
- Multimodal Machine Learning Applications 2
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- Robotics and Sensor-Based Localization 9
- UAV Applications and Optimization 2
- Co-authors
- Fábio Ramos (11 shared papers)Farnaz Farid (3 shared papers)Kotaro Nakayama (1 shared paper)Yutaka Matsuo (1 shared paper)Helmut Prendinger (1 shared paper)Fariza Sabrina (1 shared paper)Ziqi Wang (1 shared paper)Sara Shirowzhan (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Sensors (2 papers)Cybersecurity (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)Buildings (1 paper)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Tin Lai
24 papers receiving 319 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 146
- Aerospace Engineering 104
- Health Informatics 5
- Applied Psychology 17
- Building and Construction 33
Countries citing papers authored by Tin Lai
This map shows the geographic impact of Tin Lai'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 Tin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin Lai more than expected).
Fields of papers citing papers by Tin Lai
This network shows the impact of papers produced by Tin Lai. 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 Tin Lai. The network helps show where Tin Lai may publish in the future.
Co-authors
The 17 scholars most cited alongside Tin Lai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2019 | 34 | |
| 3 | 2020 | 30 | |
| 4 | 2018 | 28 | |
| 5 | 2023 | 25 | |
| 6 | 2024 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 20 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2021 | 2 |
About Tin Lai
Tin Lai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Automotive Engineering and Control and Systems Engineering, having authored 26 papers that have together received 326 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (9 papers), Autonomous Vehicle Technology and Safety (4 papers), Robot Manipulation and Learning (3 papers), Machine Learning in Healthcare (2 papers), Anomaly Detection Techniques and Applications (2 papers), UAV Applications and Optimization (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Aerospace Engineering (104 citations), Health Informatics (5 citations), Applied Psychology (17 citations) and Building and Construction (33 citations). Tin Lai has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Fábio Ramos, Farnaz Farid, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger, Fariza Sabrina, Ziqi Wang, Sara Shirowzhan, Sayka Jahan and Kakarla Raghava Reddy. Their work appears in journals such as IEEE Robotics and Automation Letters, Sensors, Cybersecurity, IEEE Transactions on Artificial Intelligence and Buildings.
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.