Inkyu Sa
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Plant Science top 2%
- Smart Agriculture and AI
- Date Palm Research Studies
Papers in
-
- Robotic Path Planning Algorithms 15
- Advanced Vision and Imaging 9
- Advanced Image and Video Retrieval Techniques 4
-
- Robotics and Sensor-Based Localization 29
- Co-authors
- Chris McCool (7 shared papers)Tristán Pérez (7 shared papers)Ben Upcroft (4 shared papers)Feras Dayoub (3 shared papers)Zongyuan Ge (2 shared papers)Roland Siegwart (11 shared papers)Juan I. Nieto (9 shared papers)Zetao Chen (4 shared papers)
- Journals
- IEEE Robotics and Automation Letters (5 papers)Springer tracts in advanced robotics (2 papers)Journal of Field Robotics (2 papers)Sensors (2 papers)IEEE Transactions on Consumer Electronics (1 paper)
- Partner nations
- AustraliaSwitzerlandSouth Korea
In The Last Decade
Inkyu Sa
46 papers receiving 2.8k citations
Inkyu Sa's Hit Papers
Peers
Comparison fields: 5 of 120
- Analytical Chemistry 414
- Plant Science 1.6k
- Computer Vision and Pattern Recognition 902
- Aerospace Engineering 750
- Ecology 496
Countries citing papers authored by Inkyu Sa
This map shows the geographic impact of Inkyu Sa'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 Inkyu Sa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inkyu Sa more than expected).
Fields of papers citing papers by Inkyu Sa
This network shows the impact of papers produced by Inkyu Sa. 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 Inkyu Sa. The network helps show where Inkyu Sa may publish in the future.
Co-authors
The 25 scholars most cited alongside Inkyu Sa, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepFruits: A Fruit Detection System Using Deep Neural Networks Hit paper breakdown → | 2016 | 899 |
| 2 | 2017 | 296 | |
| 3 | 2018 | 242 | |
| 4 | 2020 | 123 | |
| 5 | 2017 | 121 | |
| 6 | 2017 | 103 | |
| 7 | 2020 | 101 | |
| 8 | 2020 | 86 | |
| 9 | 2018 | 79 | |
| 10 | 2022 | 79 | |
| 11 | 2017 | 77 | |
| 12 | 2016 | 74 | |
| 13 | 2016 | 67 | |
| 14 | 2022 | 62 | |
| 15 | 2013 | 58 | |
| 16 | 2017 | 54 | |
| 17 | 2018 | 43 | |
| 18 | 2014 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2009 | 37 |
About Inkyu Sa
Inkyu Sa is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Geology and Plant Science, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (15 papers), Advanced Vision and Imaging (9 papers), Smart Agriculture and AI (9 papers), Robotics and Automated Systems (8 papers), 3D Surveying and Cultural Heritage (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Analytical Chemistry (414 citations), Plant Science (1.6k citations), Computer Vision and Pattern Recognition (902 citations), Aerospace Engineering (750 citations) and Ecology (496 citations). Inkyu Sa has collaborated with scholars based in Australia, Switzerland and South Korea. Frequent co-authors include Chris McCool, Tristán Pérez, Ben Upcroft, Feras Dayoub, Zongyuan Ge, Roland Siegwart, Juan I. Nieto, Zetao Chen, Marija Popović and Peter Corke. Their work appears in journals such as IEEE Robotics and Automation Letters, Springer tracts in advanced robotics, Journal of Field Robotics, Sensors and IEEE Transactions on Consumer Electronics.
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.