Tee‐Ann Teo
Impact in
- Geology top 1%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote Sensing and LiDAR Applications 29
- Geology 24
- 3D Surveying and Cultural Heritage 24
- Co-authors
- Chien‐Liang Liu (3 shared papers)Tian‐Yuan Shih (5 shared papers)Yi‐Chung Tung (1 shared paper)Jiann-Yeou Rau (4 shared papers)Jen-Wei Huang (2 shared papers)Huey‐Jen Su (2 shared papers)Chih‐Da Wu (3 shared papers)John D. Spengler (2 shared papers)
- Journals
- Photogrammetric Engineering & Remote Sensing (5 papers)Remote Sensing (5 papers)Buildings (3 papers)International Journal of Remote Sensing (3 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Tee‐Ann Teo
62 papers receiving 898 citations
Peers
Comparison fields: 5 of 84
- Geology 374
- Environmental Engineering 475
- Ocean Engineering 303
- Media Technology 124
- Building and Construction 180
Countries citing papers authored by Tee‐Ann Teo
This map shows the geographic impact of Tee‐Ann Teo'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 Tee‐Ann Teo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tee‐Ann Teo more than expected).
Fields of papers citing papers by Tee‐Ann Teo
This network shows the impact of papers produced by Tee‐Ann Teo. 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 Tee‐Ann Teo. The network helps show where Tee‐Ann Teo may publish in the future.
Co-authors
The 25 scholars most cited alongside Tee‐Ann Teo, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 140 | |
| 2 | 2009 | 69 | |
| 3 | 2012 | 63 | |
| 4 | 2015 | 53 | |
| 5 | Fusion of lidar data and optical imagery for building modeling | 2004 | 53 |
| 6 | 2006 | 51 | |
| 7 | 2017 | 47 | |
| 8 | 2005 | 46 | |
| 9 | 2021 | 44 | |
| 10 | 2011 | 42 | |
| 11 | 2021 | 37 | |
| 12 | 2023 | 26 | |
| 13 | 2008 | 22 | |
| 14 | 2007 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2015 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2017 | 16 | |
| 20 | 2022 | 15 |
About Tee‐Ann Teo
Tee‐Ann Teo is a scholar working on Environmental Engineering, Geology, Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 969 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (29 papers), 3D Surveying and Cultural Heritage (24 papers), Satellite Image Processing and Photogrammetry (16 papers), Remote Sensing in Agriculture (11 papers), Robotics and Sensor-Based Localization (9 papers), 3D Modeling in Geospatial Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers). The work is most often cited by research in Geology (374 citations), Environmental Engineering (475 citations), Ocean Engineering (303 citations), Media Technology (124 citations) and Building and Construction (180 citations). Tee‐Ann Teo has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chien‐Liang Liu, Tian‐Yuan Shih, Yi‐Chung Tung, Jiann-Yeou Rau, Jen-Wei Huang, Huey‐Jen Su, Chih‐Da Wu, John D. Spengler, Jin-King Liu and Pei-Yi Wong. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, Remote Sensing, Buildings, International Journal of Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.