Trung Quy Phan
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Chew Lim TanPalaiahnakote ShivakumaraShangxuan TianShijian LuR. SreedharWeihua HuangTong LüUmapada Pal
- Topics
- Handwritten Text Recognition Techniques (25 papers)Image Retrieval and Classification Techniques (16 papers)Advanced Image and Video Retrieval Techniques (9 papers)
In The Last Decade
Trung Quy Phan
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 400
- Artificial Intelligence 105
- Human-Computer Interaction 36
- Signal Processing 17
Countries citing papers authored by Trung Quy Phan
This map shows the geographic impact of Trung Quy Phan'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 Trung Quy Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trung Quy Phan more than expected).
Fields of papers citing papers by Trung Quy Phan
This network shows the impact of papers produced by Trung Quy Phan. 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 Trung Quy Phan. The network helps show where Trung Quy Phan may publish in the future.
Co-authorship network of co-authors of Trung Quy Phan
This figure shows the co-authorship network connecting the top 25 collaborators of Trung Quy Phan. A scholar is included among the top collaborators of Trung Quy Phan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trung Quy Phan. Trung Quy Phan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 261 | |
| 5 | Text Detection in Natural Scenes Using Gradient Vector Flow-Guided Symmetry | 5 |
| 6 | Character Extraction in Web Image for Text Recognition | 3 |
| 7 | 16 | |
| 8 | 45 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 27 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 199 | |
| 15 | 24 | |
| 16 | 53 | |
| 17 | 34 | |
| 18 | 32 | |
| 19 | 39 | |
| 20 | 60 |
About Trung Quy Phan
Trung Quy Phan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (400 citations) and Human-Computer Interaction (36 citations). Trung Quy Phan has collaborated with scholars based in Singapore, Malaysia and Pakistan. Frequent co-authors include Chew Lim Tan, Palaiahnakote Shivakumara, Shangxuan Tian, Shijian Lu, R. Sreedhar, Weihua Huang, Tong Lü, Umapada Pal, Bolan Su and Anjan Dutta. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neurocomputing.
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.