Haoyang Ye
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 2%
- Geology top 1%
- Environmental Engineering top 5%
- Electrical and Electronic Engineering
- Topics
- Robotics and Sensor-Based Localization (12 papers)Advanced Vision and Imaging (10 papers)Indoor and Outdoor Localization Technologies (5 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on RoboticsIEEE Sensors Journal
- Partner nations
- Hong KongChinaSwitzerland
In The Last Decade
Haoyang Ye
15 papers receiving 880 citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Aerospace Engineering 802
- Computer Vision and Pattern Recognition 426
- Geology 382
- Environmental Engineering 264
- Electrical and Electronic Engineering 241
Countries citing papers authored by Haoyang Ye
This map shows the geographic impact of Haoyang Ye'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 Haoyang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyang Ye more than expected).
Fields of papers citing papers by Haoyang Ye
This network shows the impact of papers produced by Haoyang Ye. 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 Haoyang Ye. The network helps show where Haoyang Ye may publish in the future.
Co-authorship network of co-authors of Haoyang Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Haoyang Ye. A scholar is included among the top collaborators of Haoyang Ye 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 Haoyang Ye. Haoyang Ye 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 | 4 | |
| 3 | 98 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigationbreakdown → | 245 |
| 9 | 17 | |
| 10 | 18 | |
| 11 | LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation | 3 |
| 12 | Tightly Coupled 3D Lidar Inertial Odometry and Mappingbreakdown → | 402 |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 45 | |
| 16 | 5 |
About Haoyang Ye
Haoyang Ye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 16 papers that have together received 912 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Advanced Vision and Imaging (10 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Geology (382 citations), Aerospace Engineering (802 citations) and Computer Vision and Pattern Recognition (426 citations). Haoyang Ye has collaborated with scholars based in Hong Kong, China and Switzerland. Frequent co-authors include Ming Liu, Yuying Chen, Ming Liu, Chao Qin, Shuyang Zhang, Jun Han, Jianhao Jiao, Yilong Zhu, Huaiyang Huang and Qinghai Liao. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Robotics and IEEE Sensors Journal.
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.