Guan Pang
- Media Technology top 1%
- Ocean Engineering top 1%
- Automated Road and Building Extraction 3
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 5
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- Advanced Image and Video Retrieval Techniques 4
- Handwritten Text Recognition Techniques 3
- Video Surveillance and Tracking Methods 3
- Image Retrieval and Classification Techniques 3
- Geology top 5%
- 3D Surveying and Cultural Heritage 5
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Saikat BasuJing Huangİlke DemirKrzysztof KoperskiDevis TuiaRamesh RaskarUlrich NeumannManohar Paluri
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEICE Transactions on Information and Systems (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Guan Pang
14 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Media Technology 433
- Ocean Engineering 557
- Environmental Engineering 502
- Computer Vision and Pattern Recognition 512
- Geology 98
Countries citing papers authored by Guan Pang
This map shows the geographic impact of Guan Pang'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 Guan Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan Pang more than expected).
Fields of papers citing papers by Guan Pang
This network shows the impact of papers produced by Guan Pang. 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 Guan Pang. The network helps show where Guan Pang may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Guan Pang, 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 | 2024 | 1 | |
| 2 | 2023 | 21 | |
| 3 | 2021 | 24 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 159 | |
| 6 | Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery. | 2018 | 29 |
| 7 | DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Imagesbreakdown → | 2018 | 759 |
| 8 | 2016 | 46 | |
| 9 | 2015 | 18 | |
| 10 | 2015 | 2 | |
| 11 | 2015 | 24 | |
| 12 | 2013 | 29 | |
| 13 | 2013 | 5 | |
| 14 | 2010 | 1 |
About Guan Pang
Guan Pang is a scholar working on Geology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Automated Road and Building Extraction (3 papers), Handwritten Text Recognition Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Media Technology (433 citations), Ocean Engineering (557 citations) and Environmental Engineering (502 citations). Guan Pang has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Saikat Basu, Jing Huang, İlke Demir, Krzysztof Koperski, Devis Tuia, Ramesh Raskar, Ulrich Neumann, Manohar Paluri, Suriya Singh and C. V. Jawahar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEICE Transactions on Information and Systems and arXiv (Cornell University).
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.