Jingwen Hou
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Media Technology top 5%
- Biomedical Engineering
- Cognitive Neuroscience
- Topics
- Image and Video Quality Assessment (8 papers)Visual Attention and Saliency Detection (6 papers)Aesthetic Perception and Analysis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyBusiness and International Management
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Jingwen Hou
15 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 254
- Molecular Biology 140
- Media Technology 85
- Biomedical Engineering 69
- Cognitive Neuroscience 44
Countries citing papers authored by Jingwen Hou
This map shows the geographic impact of Jingwen Hou'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 Jingwen Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwen Hou more than expected).
Fields of papers citing papers by Jingwen Hou
This network shows the impact of papers produced by Jingwen Hou. 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 Jingwen Hou. The network helps show where Jingwen Hou may publish in the future.
Co-authorship network of co-authors of Jingwen Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Jingwen Hou. A scholar is included among the top collaborators of Jingwen Hou 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 Jingwen Hou. Jingwen Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 24 | |
| 4 | TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessmentbreakdown → | 86 |
| 5 | 42 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 44 | |
| 9 | 17 | |
| 10 | 27 | |
| 11 | 14 | |
| 12 | 153 | |
| 13 | 36 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 22 |
About Jingwen Hou
Jingwen Hou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 16 papers that have together received 508 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (8 papers), Visual Attention and Saliency Detection (6 papers) and Aesthetic Perception and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Media Technology (85 citations) and Business and International Management (8 citations). Jingwen Hou has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Weisi Lin, Liang Liao, Haoning Wu, Chaofeng Chen, Wenxiu Sun, Qiong Yan, Weide Liu, Meng How Tan, Kean Hean Ooi and Yong‐Gui Gao. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.