Fei Su
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote Sensing and LiDAR Applications 11
-
- Robotics and Sensor-Based Localization 9
- Co-authors
- Lin Li (9 shared papers)Haihong Zhu (11 shared papers)Fan Yang (7 shared papers)Lei Tang (4 shared papers)Shen Ying (5 shared papers)Weilin Wang (3 shared papers)Limin Jiao (1 shared paper)Shifa Ma (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Automation in Construction (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)Applied Sciences (2 papers)Remote Sensing (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Fei Su
29 papers receiving 331 citations
Peers
Comparison fields: 5 of 61
- Geology 121
- Environmental Engineering 123
- Building and Construction 65
- Computer Vision and Pattern Recognition 73
- Aerospace Engineering 88
Countries citing papers authored by Fei Su
This map shows the geographic impact of Fei Su'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 Fei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Su more than expected).
Fields of papers citing papers by Fei Su
This network shows the impact of papers produced by Fei Su. 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 Fei Su. The network helps show where Fei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Su, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2020 | 45 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 32 | |
| 5 | Cooperative area search for multiple UAVs based on RRT and decentralized receding horizon optimization | 2009 | 19 |
| 6 | 2019 | 19 | |
| 7 | 2010 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2014 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2005 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 3 |
About Fei Su
Fei Su is a scholar working on Environmental Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Geology and Computer Networks and Communications, having authored 34 papers that have together received 341 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (11 papers), Robotics and Sensor-Based Localization (9 papers), 3D Surveying and Cultural Heritage (9 papers), Robotic Path Planning Algorithms (6 papers), Automated Road and Building Extraction (4 papers), Wildlife-Road Interactions and Conservation (3 papers), Land Use and Ecosystem Services (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Geology (121 citations), Environmental Engineering (123 citations), Building and Construction (65 citations), Computer Vision and Pattern Recognition (73 citations) and Aerospace Engineering (88 citations). Fei Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lin Li, Haihong Zhu, Fan Yang, Lei Tang, Shen Ying, Weilin Wang, Limin Jiao, Shifa Ma, Weina Zhang and Qiqi Jia. Their work appears in journals such as Expert Systems with Applications, Automation in Construction, ISPRS Journal of Photogrammetry and Remote Sensing, Applied Sciences 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.