Tao Guan
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- Advanced Image and Video Retrieval Techniques 20
- Advanced Vision and Imaging 19
- Augmented Reality Applications 9
- Optical measurement and interference techniques 7
- Video Surveillance and Tracking Methods 5
- Image Retrieval and Classification Techniques 5
- Geology top 2%
- Artificial Intelligence top 2%
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- Computer Graphics and Visualization Techniques 5
- Media Technology top 2%
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- Robotics and Sensor-Based Localization 23
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Sensors (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tao Guan
55 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 1.3k
- Geology 173
- Artificial Intelligence 671
- Computer Graphics and Computer-Aided Design 72
- Media Technology 179
Countries citing papers authored by Tao Guan
This map shows the geographic impact of Tao Guan'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 Tao Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Guan more than expected).
Fields of papers citing papers by Tao Guan
This network shows the impact of papers produced by Tao Guan. 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 Tao Guan. The network helps show where Tao Guan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Guan, 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 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 1 | |
| 9 | Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation | 2020 | 8 |
| 10 | 2020 | 17 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 162 | |
| 14 | 2014 | 21 | |
| 15 | 2013 | 64 | |
| 16 | Interactive Image Segmentation Method Based on Fuzzy C-Means and Graph Cuts | 2010 | 1 |
| 17 | 2010 | 3 | |
| 18 | 2009 | 8 | |
| 19 | 2008 | 3 | |
| 20 | 2006 | 1 |
About Tao Guan
Tao Guan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), Advanced Image and Video Retrieval Techniques (20 papers), Advanced Vision and Imaging (19 papers), Augmented Reality Applications (9 papers), Optical measurement and interference techniques (7 papers), Computer Graphics and Visualization Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Geology (173 citations) and Artificial Intelligence (671 citations). Tao Guan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yawei Luo, Junqing Yu, Yi Yang, Liang Zheng, Keyang Luo, Lili Ju, Yongjian Chen, Cheng Wang, Yuan Tian and Ping Liu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.
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.