Chi Hay Tong
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Timothy D. BarfootSimo SärkkäPaul FurgaleTim BarfootSean AndersonÉrick DupuisGabe SibleyIngmar Posner
- Topics
- Robotics and Sensor-Based Localization (19 papers)3D Surveying and Cultural Heritage (7 papers)Gaussian Processes and Bayesian Inference (6 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Chi Hay Tong
22 papers receiving 439 citations
Peers
Comparison fields: 5 of 51
- Aerospace Engineering 319
- Computer Vision and Pattern Recognition 231
- Artificial Intelligence 116
- Electrical and Electronic Engineering 72
- Control and Systems Engineering 64
Countries citing papers authored by Chi Hay Tong
This map shows the geographic impact of Chi Hay Tong'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 Chi Hay Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Hay Tong more than expected).
Fields of papers citing papers by Chi Hay Tong
This network shows the impact of papers produced by Chi Hay Tong. 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 Chi Hay Tong. The network helps show where Chi Hay Tong may publish in the future.
Co-authorship network of co-authors of Chi Hay Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Chi Hay Tong. A scholar is included among the top collaborators of Chi Hay Tong 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 Chi Hay Tong. Chi Hay Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 50 | |
| 5 | 20 | |
| 6 | 73 | |
| 7 | 22 | |
| 8 | 46 | |
| 9 | 21 | |
| 10 | 11 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | 3D surface mapping using a semi-autonomous rover: A planetary analog field experiment | 4 |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 9 |
About Chi Hay Tong
Chi Hay Tong is a scholar working on Geology, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 457 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), 3D Surveying and Cultural Heritage (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Aerospace Engineering (319 citations), Geology (64 citations) and Computer Vision and Pattern Recognition (231 citations). Chi Hay Tong has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Timothy D. Barfoot, Simo Särkkä, Paul Furgale, Tim Barfoot, Sean Anderson, Érick Dupuis, Gabe Sibley, Ingmar Posner, David Gingras and Hang Dong. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and Acta Astronautica.
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.