Xiaojun Qi
- Computer Vision and Pattern Recognition top 0.5%
- Molecular Biology
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Media Technology top 5%
- Co-authors
- Amir Hossein FarzanehGary WildeyPhilip H. HoweMohammad Reza FarajiJi QiKokSheik WongKiyoshi TanakaXing Xin
- Topics
- Advanced Image and Video Retrieval Techniques (34 papers)Image Retrieval and Classification Techniques (27 papers)Digital Media Forensic Detection (19 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologyMedia Technology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaIEEE Access
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
Xiaojun Qi
93 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 1.3k
- Molecular Biology 324
- Artificial Intelligence 268
- Experimental and Cognitive Psychology 221
- Media Technology 123
Countries citing papers authored by Xiaojun Qi
This map shows the geographic impact of Xiaojun Qi'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 Xiaojun Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Qi more than expected).
Fields of papers citing papers by Xiaojun Qi
This network shows the impact of papers produced by Xiaojun Qi. 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 Xiaojun Qi. The network helps show where Xiaojun Qi may publish in the future.
Co-authorship network of co-authors of Xiaojun Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Qi. A scholar is included among the top collaborators of Xiaojun Qi 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 Xiaojun Qi. Xiaojun Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 15 | |
| 6 | 40 | |
| 7 | 17 | |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 34 | |
| 12 | 5 | |
| 13 | Computational Geometry of Contour Extraction | 4 |
| 14 | A computer vision-based method for fire detection in color videos | 52 |
| 15 | QIM-Based Histogram-Preserving and High Capacity Steganography for JPEG Images. | 1 |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 189 | |
| 19 | A feature-point-based RST resistant watermarking scheme. | 1 |
| 20 | 1 |
About Xiaojun Qi
Xiaojun Qi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (34 papers), Image Retrieval and Classification Techniques (27 papers) and Digital Media Forensic Detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Experimental and Cognitive Psychology (221 citations) and Media Technology (123 citations). Xiaojun Qi has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Amir Hossein Farzaneh, Gary Wildey, Philip H. Howe, Mohammad Reza Faraji, Ji Qi, KokSheik Wong, Kiyoshi Tanaka, Xing Xin, Xin Xing and Kuan Huang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and IEEE Access.
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.