James Tu
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in ⓘ
- Software 1
- Software Testing and Debugging Techniques 1
-
- Autonomous Vehicle Technology and Safety 3
- Co-authors
- Raquel Urtasun (4 shared papers)Sergio Casas (4 shared papers)Zhiming Hu (1 shared paper)Abbas Sadat (2 shared papers)Baochun Li (1 shared paper)Mengye Ren (1 shared paper)Jingkang Wang (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
- CanadaAustraliaUnited States
In The Last Decade
James Tu
7 papers receiving 165 citations
Peers
Comparison fields: 5 of 44
- Automotive Engineering 87
- Software 18
- Computer Vision and Pattern Recognition 36
- Safety, Risk, Reliability and Quality 16
- Artificial Intelligence 55
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 16 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 | 104 | |
| 2 | 2019 | 42 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 7 | |
| 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 Software, Automotive Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition and Biomaterials, having authored 7 papers that have together received 173 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (2 papers), Magnesium Alloys: Properties and Applications (1 paper), Cloud Computing and Resource Management (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Software Testing and Debugging Techniques (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Automotive Engineering (87 citations), Software (18 citations), Computer Vision and Pattern Recognition (36 citations), Safety, Risk, Reliability and Quality (16 citations) and Artificial Intelligence (55 citations). James Tu has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Raquel Urtasun, Sergio Casas, Zhiming Hu, Abbas Sadat, Baochun Li, Mengye Ren, Jingkang Wang, Sivabalan Manivasagam, Simon Su and Kelvin K. L. Wong. 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.