Kyle Gao
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Neural Network Applications 8
- Image and Signal Denoising Methods 4
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- Remote Sensing and LiDAR Applications 9
- Co-authors
- Jonathan Li (25 shared papers)Hongjie He (15 shared papers)Dening Lu (8 shared papers)Linlin Xu (10 shared papers)Qian Xie (2 shared papers)Linlin Xu (1 shared paper)Lingfei Ma (6 shared papers)Haiyan Guan (2 shared papers)
- Journals
- International Journal of Applied Earth Observation and Geoinformation (13 papers)IEEE Transactions on Geoscience and Remote Sensing (4 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Kyle Gao
26 papers receiving 338 citations
Peers
Comparison fields: 5 of 70
- Geology 116
- Computer Graphics and Computer-Aided Design 46
- Environmental Engineering 117
- Computer Vision and Pattern Recognition 137
- Computational Mechanics 107
Countries citing papers authored by Kyle Gao
This map shows the geographic impact of Kyle Gao'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 Kyle Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Gao more than expected).
Fields of papers citing papers by Kyle Gao
This network shows the impact of papers produced by Kyle Gao. 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 Kyle Gao. The network helps show where Kyle Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Gao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2022 | 64 | |
| 3 | 2022 | 45 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 2 |
About Kyle Gao
Kyle Gao is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering, Media Technology and Geology, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (9 papers), 3D Surveying and Cultural Heritage (8 papers), Advanced Neural Network Applications (8 papers), 3D Shape Modeling and Analysis (7 papers), Robotics and Sensor-Based Localization (6 papers), Remote-Sensing Image Classification (5 papers), Advanced Image Fusion Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Geology (116 citations), Computer Graphics and Computer-Aided Design (46 citations), Environmental Engineering (117 citations), Computer Vision and Pattern Recognition (137 citations) and Computational Mechanics (107 citations). Kyle Gao has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Jonathan Li, Hongjie He, Dening Lu, Linlin Xu, Qian Xie, Linlin Xu, Lingfei Ma, Haiyan Guan, Yongtao Yu and Hongzhang Xu. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Instrumentation and Measurement and IEEE Geoscience and Remote Sensing Letters.
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.