Hanwool Woo
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
Papers in
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- Video Surveillance and Tracking Methods 8
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- Autonomous Vehicle Technology and Safety 19
- Co-authors
- Hajime Asama (37 shared papers)Atsushi Yamashita (35 shared papers)Yusuke Tamura (32 shared papers)Yonghoon Ji (20 shared papers)Yasunori Yamamoto (9 shared papers)Hitoshi Kono (5 shared papers)Kazuhito Sato (19 shared papers)Hirokazu Madokoro (19 shared papers)
- Journals
- Advanced Robotics (5 papers)Applied Sciences (5 papers)Sensors (3 papers)IEEE Robotics and Automation Letters (2 papers)Robotics (2 papers)
- Partner nations
- Japan
In The Last Decade
Hanwool Woo
51 papers receiving 532 citations
Peers
Comparison fields: 5 of 79
- Automotive Engineering 212
- Safety, Risk, Reliability and Quality 72
- Computer Vision and Pattern Recognition 159
- Building and Construction 79
- Radiation 48
Countries citing papers authored by Hanwool Woo
This map shows the geographic impact of Hanwool Woo'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 Hanwool Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanwool Woo more than expected).
Fields of papers citing papers by Hanwool Woo
This network shows the impact of papers produced by Hanwool Woo. 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 Hanwool Woo. The network helps show where Hanwool Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanwool Woo, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 110 | |
| 2 | 2021 | 30 | |
| 3 | 2017 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2009 | 23 | |
| 6 | 2018 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2016 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2020 | 10 |
About Hanwool Woo
Hanwool Woo is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Ocean Engineering and Artificial Intelligence, having authored 57 papers that have together received 547 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (19 papers), Robotics and Sensor-Based Localization (15 papers), Radiation Detection and Scintillator Technologies (9 papers), Traffic Prediction and Management Techniques (9 papers), Underwater Vehicles and Communication Systems (8 papers), Anomaly Detection Techniques and Applications (8 papers), Traffic control and management (8 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Automotive Engineering (212 citations), Safety, Risk, Reliability and Quality (72 citations), Computer Vision and Pattern Recognition (159 citations), Building and Construction (79 citations) and Radiation (48 citations). Hanwool Woo has collaborated with scholars based in Japan. Frequent co-authors include Hajime Asama, Atsushi Yamashita, Yusuke Tamura, Yonghoon Ji, Yasunori Yamamoto, Hitoshi Kono, Kazuhito Sato, Hirokazu Madokoro, Hiroshi Tsuchiya and Doyeon Kim. Their work appears in journals such as Advanced Robotics, Applied Sciences, Sensors, IEEE Robotics and Automation Letters and Robotics.
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.