Kyle Gao
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering top 10%
- Geology top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Topics
- Remote Sensing and LiDAR Applications (9 papers)Advanced Neural Network Applications (8 papers)3D Surveying and Cultural Heritage (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Kyle Gao
26 papers receiving 338 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 137
- Environmental Engineering 117
- Geology 116
- Computational Mechanics 107
- Computer Graphics and Computer-Aided Design 46
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-authorship network of co-authors of Kyle Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Gao. A scholar is included among the top collaborators of Kyle Gao 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 Kyle Gao. Kyle Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 64 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 1 |
About Kyle Gao
Kyle Gao is a scholar working on Geology, Media Technology and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (9 papers), Advanced Neural Network Applications (8 papers) and 3D Surveying and Cultural Heritage (8 papers). The work is most often cited by research in Geology (116 citations), Computer Graphics and Computer-Aided Design (46 citations) and Environmental Engineering (117 citations). Kyle Gao has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Jonathan Li, Hongjie He, Linlin Xu, Dening Lu, Qian Xie, Linlin Xu, Lingfei Ma, Hongzhang Xu, Yongtao Yu and Haiyan Guan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.