Jinjian Wu
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.1%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Topics
- Image and Video Quality Assessment (95 papers)Visual Attention and Saliency Detection (53 papers)Advanced Image Fusion Techniques (49 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jinjian Wu
156 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 3.5k
- Media Technology 2.1k
- Atomic and Molecular Physics, and Optics 255
- Biomedical Engineering 207
- Cognitive Neuroscience 203
Countries citing papers authored by Jinjian Wu
This map shows the geographic impact of Jinjian Wu'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 Jinjian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjian Wu more than expected).
Fields of papers citing papers by Jinjian Wu
This network shows the impact of papers produced by Jinjian Wu. 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 Jinjian Wu. The network helps show where Jinjian Wu may publish in the future.
Co-authorship network of co-authors of Jinjian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jinjian Wu. A scholar is included among the top collaborators of Jinjian Wu 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 Jinjian Wu. Jinjian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classificationbreakdown → | 62 |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 59 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 47 | |
| 15 | 33 | |
| 16 | 133 | |
| 17 | 57 | |
| 18 | 50 | |
| 19 | 35 | |
| 20 | 120 |
About Jinjian Wu
Jinjian Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics, having authored 169 papers that have together received 4.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (95 papers), Visual Attention and Saliency Detection (53 papers) and Advanced Image Fusion Techniques (49 papers). The work is most often cited by research in Media Technology (2.1k citations), Computer Vision and Pattern Recognition (3.5k citations) and Computational Mathematics (10 citations). Jinjian Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Guangming Shi, Weisheng Dong, Leida Li, Weisi Lin, Xin Li, Anmin Liu, Xun Cao, Yuming Fang, Guangyu Li and Guangming Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.