David D. Fan
Impact in
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- Robotic Path Planning Algorithms
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- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 6
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- Robotics and Sensor-Based Localization 4
- Advanced SAR Imaging Techniques 2
- Synthetic Aperture Radar (SAR) Applications and Techniques 2
- Co-authors
- Ali–akbar Agha–mohammadi (6 shared papers)Evangelos A. Theodorou (5 shared papers)Kyohei Otsu (4 shared papers)Joel W. Burdick (3 shared papers)Sung-Kyun Kim (2 shared papers)Gautam Salhotra (1 shared paper)Anushri Dixit (3 shared papers)Marco Hutter (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (1 paper)IEEE Robotics and Automation Letters (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference Companion (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
David D. Fan
17 papers receiving 148 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 73
- Aerospace Engineering 59
- Control and Systems Engineering 35
- Artificial Intelligence 33
- Automotive Engineering 12
Countries citing papers authored by David D. Fan
This map shows the geographic impact of David D. Fan'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 David D. Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Fan more than expected).
Fields of papers citing papers by David D. Fan
This network shows the impact of papers produced by David D. Fan. 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 David D. Fan. The network helps show where David D. Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside David D. Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2021 | 33 | |
| 3 | 2024 | 18 | |
| 4 | 2020 | 12 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | Implementation of a power efficient synthetic aperture radar back projection algorithm on FPGAs using OpenCL | 2015 | 3 |
| 16 | 2021 | 2 | |
| 17 | 2017 | 1 |
About David D. Fan
David D. Fan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 17 papers that have together received 155 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers), Anomaly Detection Techniques and Applications (3 papers), Stochastic processes and financial applications (2 papers), Robotic Locomotion and Control (2 papers), Advanced SAR Imaging Techniques (2 papers), Reinforcement Learning in Robotics (2 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (73 citations), Aerospace Engineering (59 citations), Control and Systems Engineering (35 citations), Artificial Intelligence (33 citations) and Automotive Engineering (12 citations). David D. Fan has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ali–akbar Agha–mohammadi, Evangelos A. Theodorou, Kyohei Otsu, Joel W. Burdick, Sung-Kyun Kim, Gautam Salhotra, Anushri Dixit, Marco Hutter, Trevor Bihl and Stefan Westberg. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 International Conference on Robotics and Automation (ICRA) and Proceedings of the International Conference on Automated Planning and Scheduling.
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.