James Tu
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Autonomous Vehicle Technology and Safety 3
-
- Advanced Neural Network Applications 2
- Co-authors
- Raquel Urtasun (4 shared papers)Sergio Casas (4 shared papers)Abbas Sadat (2 shared papers)Zhiming Hu (1 shared paper)Mengye Ren (1 shared paper)Jingkang Wang (1 shared paper)Baochun Li (1 shared paper)Sivabalan Manivasagam (1 shared paper)
- Journals
- Neurosurgery (1 paper)Materials science forum (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
James Tu
7 papers receiving 205 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 105
- Software 18
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 74
- Safety, Risk, Reliability and Quality 16
Countries citing papers authored by James Tu
This map shows the geographic impact of James Tu'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 James Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Tu more than expected).
Fields of papers citing papers by James Tu
This network shows the impact of papers produced by James Tu. 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 James Tu. The network helps show where James Tu may publish in the future.
Co-authors
The 17 scholars most cited alongside James Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2019 | 49 | |
| 3 | 2023 | 21 | |
| 4 | 2021 | 8 | |
| 5 | 2006 | 3 | |
| 6 | 2014 | 2 | |
| 7 | StrObe: Streaming Object Detection from LiDAR Packets | 2020 | 1 |
About James Tu
James Tu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Neurology, having authored 7 papers that have together received 212 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (2 papers), Cloud Computing and Resource Management (1 paper), Adversarial Robustness in Machine Learning (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Traffic Prediction and Management Techniques (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (105 citations), Software (18 citations), Computer Vision and Pattern Recognition (47 citations), Artificial Intelligence (74 citations) and Safety, Risk, Reliability and Quality (16 citations). James Tu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Raquel Urtasun, Sergio Casas, Abbas Sadat, Zhiming Hu, Mengye Ren, Jingkang Wang, Baochun Li, Sivabalan Manivasagam, Kelvin K. L. Wong and Simon Su. Their work appears in journals such as Neurosurgery, Materials science forum and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.