James Tu

593 total citations
7 papers, 173 citations indexed

About

James Tu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, James Tu has authored 7 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Automotive Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in James Tu's work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). James Tu is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). James Tu collaborates with scholars based in Canada, Australia and United States. James Tu's co-authors include Sergio Casas, Raquel Urtasun, Baochun Li, Zhiming Hu, Abbas Sadat, Mengye Ren, Sivabalan Manivasagam, Jingkang Wang, Kelvin K. L. Wong and Simon Su and has published in prestigious journals such as Neurosurgery, Materials science forum and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

James Tu

7 papers receiving 165 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Tu Canada 4 87 55 36 36 30 7 173
Marcus Nolte Germany 8 52 0.6× 48 0.9× 23 0.6× 37 1.0× 42 1.4× 20 162
Simon Fürst Germany 5 77 0.9× 39 0.7× 62 1.7× 39 1.1× 44 1.5× 11 208
Jack Weast United States 7 121 1.4× 36 0.7× 54 1.5× 55 1.5× 50 1.7× 11 222
Gereon Weiß Germany 10 25 0.3× 85 1.5× 12 0.3× 47 1.3× 28 0.9× 34 203
Daocheng Fu China 8 75 0.9× 54 1.0× 45 1.3× 17 0.5× 76 2.5× 16 253
Paolo Burgio Italy 11 47 0.5× 26 0.5× 27 0.8× 92 2.6× 23 0.8× 40 253
Pablo Gruer France 9 58 0.7× 46 0.8× 45 1.3× 34 0.9× 107 3.6× 24 191
Zhenghao Peng United States 5 98 1.1× 93 1.7× 109 3.0× 9 0.3× 56 1.9× 11 264
Florian Hauer Germany 7 150 1.7× 59 1.1× 39 1.1× 7 0.2× 46 1.5× 14 237
Benjamin Weyl Germany 6 67 0.8× 36 0.7× 12 0.3× 143 4.0× 38 1.3× 9 283

Countries citing papers authored by James Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of James Tu

This figure shows the co-authorship network connecting the top 25 collaborators of James Tu. A scholar is included among the top collaborators of James Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Tu. James Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Su, Simon, et al.. (2023). MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. 9622–9631. 14 indexed citations
2.
Wang, Jingkang, James Tu, Sivabalan Manivasagam, et al.. (2021). AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. 9904–9913. 104 indexed citations
3.
Sadat, Abbas, Sergio Casas, James Tu, et al.. (2021). Diverse Complexity Measures for Dataset Curation in Self-Driving. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8609–8616. 7 indexed citations
4.
Casas, Sergio, et al.. (2020). StrObe: Streaming Object Detection from LiDAR Packets. 1174–1183. 1 indexed citations
5.
Hu, Zhiming, James Tu, & Baochun Li. (2019). Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning. 2037–2046. 42 indexed citations
6.
Lock, Jaclyn, James Tu, & Huinan Liu. (2014). Degradation of Magnesium Alloys in Artificial Urine Solution for Urological Device Applications. Materials science forum. 783-786. 413–418. 2 indexed citations
7.

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.

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2026